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Molecular Docking - Science method

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This is what it shows on my computer.
Please help
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Hello,
I am getting back to docking. I am having issue in running autodock after doing autogrid. I have all the .pad files and my .dat files in my working directory. I am able to start the autodock run but it gets done within seconds and I can not see delta G values. Do you know how to change this?
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I have predicted (human) resistin structure using modeller, phyre and itasser and none of the structures I received showed suitable binding energy with known drug (eg-masoprocol) after docking, and I am unable to complete the study.
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Rajeshwari Ganapathy : You could use AlphaFold2. Please note that AlphaFold3 could be even better, but the user policy for AlphaFord3 currently does not allow its use for predicting structures that would be employed subsequently as docking targets.
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Hi guys, I am trying to design an aptamer for insulin via in silico methods.
I used aptcad webserver for docking but kept showing failed, stated to try again with smaller molecule. Is it because the insulin structure too big? But my target is insulin, how should I do in this case?
Anyone can help with this situation?
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In such a case select one chain at once rather than the entire structure of insulin receptor. If the co-crystallized ligand is present in all chains lets say A and B, in that case, docking can be performed on any one chain. If not, then check the chains contributing to interactions with co-crystallized ligand. If no co-crystallized ligand is available, perform binding site prediction and then continue with docking on one particular binding cavity of one chain.
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The screenshot of the error has been added. It popped up while the receptor molecule was adding just in the beginning of the process.
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Hi,
Sure, I will try it. Thanks. Jobin Thomas
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After greetings...
Can I get the full molecular docking program...
I downloaded the 2015 version but it doesn't work...
I hope anyone with a full and activated version can help me...
Thank you very much
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Thank you very much...
I shall experiment the methods that's you mentioned...
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I am not a specialist in molecular docking, but the applications interest me. I would like to know if it is possible and interesting to perform molecular docking of a mixture of molecules on the same target? And is there a computational technique to predict the assembly of molecules in the most stable state before starting the docking?
Thanks
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Thanks very much
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It’s always exciting to see how computational tools are revolutionizing drug design and discovery. Techniques like molecular docking, pharmacophore modeling, ADME Study and DFT simulations are not only speeding up the process but also allowing for more precise predictions of molecular behavior. These advancements enable us to dive deep into molecular interactions and predict therapeutic potential with greater accuracy. It’s fascinating to witness the fusion of chemistry, biology, and technology in the development of innovative solutions for real-world challenges.
#DrugDiscovery hashtag#ComputationalChemistry hashtag#MolecularModeling hashtag#PharmaceuticalResearch
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I completely agree! These computational tools are truly streamlining the drug discovery process, enabling faster and more accurate predictions. It's fascinating to see how technology is transforming the way we approach complex biological and chemical challenges.
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Hi all, I am working on the protein-protein interaction study. The homology modeling protein structure was in good quality which Ramachandran plot shown more than 97% of aa are in the most favoured region. In addition, the sequence similarity is high which is about 70% similarity to the reference crystal structure. Hence, I proceed to protein-protein docking, which docked the homology protein structure (receptor) with another protein crystal structure (ligand). I have generated a set of molecular interaction data and is going to publish the works. However, I found that most of the journal will require MD. Is there any journal that can accept the molecular docking data without MD?
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It would be difficult to publish a study that involved only docking without substantial additional computational and/or experimental laboratory results. Moreover, protein-protein docking is particularly problematic, especially if one of the docking partners is a homology model. Regarding the assessment of the quality of protein structures, there are additional criteria to consider beyond a Ramachandran plot -- I suggest using the Molprobity server to get a more complete evaluation. In addition, for protein-protein complexes, consider using AlphaFold multimer or AlphaFold3.
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Could you please advise on how to perform molecular docking for polysaccharides (large molecules)? I have previously used Glide in Schrödinger for small molecule docking, but what would be the most appropriate software or approach for handling polysaccharides?
Could you provide any further guidance or recommendations on this matter?
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Molecular docking of polysaccharides, which are large, complex carbohydrates, presents unique challenges compared to small molecules due to their size, flexibility, and the presence of multiple hydroxyl groups that can participate in hydrogen bonding. Here’s a general approach and some software recommendations for performing molecular docking with polysaccharides:
Software Recommendations:
  1. GROMACS with HADDOCK: HADDOCK is a software for macromolecular docking, and it can be used in conjunction with GROMACS for molecular dynamics simulations. It is capable of handling large and flexible molecules like polysaccharides.
  2. Rosetta: Rosetta is a suite of software for macromolecular modeling, which includes a protocol for carbohydrate docking called CARDS (Carbohydrate Docking with Rosetta and Dynamics). It is specifically designed for the modeling of carbohydrates and their interactions.
  3. AutoDock: Although primarily used for small molecules, AutoDock can be used for larger molecules if you have a powerful enough computer. The newer version, AutoDock4, has some capabilities for handling larger ligands.
  4. MOE (Molecular Operating Environment): MOE has tools for handling large and flexible molecules and can be used for docking polysaccharides to proteins.
  5. CHARMM: CHARMM is a comprehensive molecular modeling package that can be used for simulating and analyzing biological macromolecules, including carbohydrates.
Approach for Docking Polysaccharides:
  1. Preparation of Polysaccharide Structure:Use software like CHARMM, GlycanBuilder, or other carbohydrate modeling tools to build the 3D structure of the polysaccharide. Perform energy minimization and molecular dynamics simulations to refine the structure and account for flexibility.
  2. Receptor Preparation:The protein or receptor target should be prepared in a similar way to small molecule docking: protonation, energy minimization, and removal of any unnecessary solvent molecules or crystallographic waters.
  3. Docking:Define the binding site on the receptor where the polysaccharide is expected to bind. Use the chosen software to perform the docking. With software like HADDOCK or Rosetta, you can use information from experiments (e.g., NMR or X-ray crystallography data) to guide the docking process. Account for the flexibility of both the polysaccharide and the receptor. This might involve sampling different conformations of the polysaccharide and using ensemble docking techniques.
  4. Scoring and Selection:Evaluate the docked poses using appropriate scoring functions. For polysaccharides, scoring functions that include terms for hydrogen bonding and van der Waals interactions will be particularly important. Select the best-scored poses for further analysis.
  5. Post-Docking Analysis:Perform molecular dynamics simulations on the docked complexes to assess their stability and to refine the binding mode. Analyze the interactions between the polysaccharide and the receptor using tools like MDAnalysis or PyMOL.
Additional Recommendations:
  • Parameterization: Ensure that the force fields and parameters used in your simulations are suitable for carbohydrates.
  • Computational Resources: Docking polysaccharides is computationally intensive. Make sure you have access to sufficient computational resources.
  • Validation: Validate your docking approach with known structures of carbohydrate-protein complexes if available.
  • Expertise: The process of docking large, flexible molecules like polysaccharides often requires a deep understanding of both the software and the biological system. Collaboration with experts in computational biology or bioinformatics can be beneficial.
Keep in mind that molecular docking is a complex process with many variables, and it often requires iterative refinement and validation to obtain reliable results.
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Hello everyone,
I am currently working on a molecular docking project and have obtained results that I need help interpreting. I would greatly appreciate any guidance on how to analyze these results effectively, including insights about RMSD (Root Mean Square Deviation), binding affinities, binding poses, hydrogen bonds, and the amino acids involved in these interactions.
Any resources, tips, or personal experiences you could share would be immensely helpful!
Thank you in advance for your assistance!
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Interpreting and analyzing molecular docking results involves several key aspects, including evaluating binding affinities, analyzing binding poses, and understanding the interactions between the ligand and the target protein. Here’s a proposed guide (that I personally use) to effectively analyze your results:
1. Binding Affinity
  • Understanding ΔG: The binding affinity is often represented as a free energy change (ΔG). A more negative ΔG indicates a stronger binding affinity, suggesting that the ligand binds more tightly to the target protein. Conversely, a less negative or positive ΔG suggests weaker binding.
  • Comparing Ligands: When comparing different ligands, look for differences in their binding affinities. A significant difference in ΔG can indicate which ligand may be more effective at binding to the target.
2. Root Mean Square Deviation (RMSD)
  • Definition: RMSD is a measure of the average distance between atoms of superimposed proteins. In docking studies, it is often used to evaluate the stability of the docked conformation compared to an experimental structure.
  • Interpreting RMSD Values: Lower RMSD values (typically <2 Å) indicate that the docked pose closely resembles the experimental structure, suggesting a reliable docking result. Higher RMSD values may indicate that the docking pose is less reliable or that the ligand may adopt a different conformation in solution.
3. Binding Poses
  • Visual Inspection: Use molecular visualization software to examine the binding poses of your ligands. Look at how well the ligand fits into the binding pocket of the target protein.
  • Key Interactions: Identify key interactions such as hydrogen bonds, hydrophobic interactions, and ionic interactions. These interactions can provide insights into how well the ligand binds and its potential efficacy.
4. Hydrogen Bonds and Amino Acids Involved
  • Analyzing Hydrogen Bonds: Check for hydrogen bonds formed between the ligand and specific amino acids in the binding site. The presence of multiple hydrogen bonds typically indicates a stronger interaction.
  • Identifying Key Residues: Note which amino acids are involved in these interactions. Specific residues may be critical for binding and can be targets for mutagenesis studies to further explore their roles.
5. Additional Considerations
  • Cluster Analysis: If you have multiple docking poses, consider performing cluster analysis to identify common conformations and interactions across different runs.
  • Comparison with Experimental Data: If available, compare your docking results with experimental data such as IC50 values or binding assays to validate your findings.
Best regards.
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Being a newbie, i want to eqip myself with the necessary Bioinformatic tools including molecular docking...Important materials, videos to introduce me to these tools are welcome..I really have a knack in this field.
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Every tool has a tutorial video or file; try to find them and follow their instructions to get your information. Be aware that bioinformatics is a wide world, so you have to read an article about your interest, then do the analysis one by one. 
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I have tried many times to dock ubenimex n (Compound CID: 72172) with a protein but every time the ligand breaks into two pieces. Kindly help. i have used chemdraw, 3d sdf file, gaussian fchk file, mol2 file to convert the ligand into pdb file but every time Autodock splits the ligand. Hydrogens and charges were added. ligand is neutral.
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Ya there was some problem and it was now solved. Thanks for your answer.
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Can multiple instances of the same ligand be docked to one macromolecule? For instance, can one ligand be docked and then the output used as input for a second docking of the same ligand, and so on?
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Yogesh Gaikwad Thank you for your answer Yogesh Gaikwad
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I want to use ReverseDock for off-target analysis in molecular docking. How authenticate and reliable are the results of ReverseDock and can I put those results in my research paper ?
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ReverseDock is a computational tool designed for blind docking of ligands to multiple protein targets, based on AutoDock Vina. It ranks and predicts protein-ligand interactions, which makes it valuable for tasks like drug discovery and target identification. Its predictions are reasonably accurate, with successful identification of binding sites in 75% of cases and top-three ranking of complexes in 50% of cases in validation tests. However, like other docking tools, ReverseDock's results depend on the quality of input data and the conformational space sampled. It is recommended to complement its predictions with experimental validation, such as binding assays or structural studies​
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Hi every one
I have a peptide library (around 300 peptides) that I would like to dock peptides to its target while I want a high throughput molecular docking webserver or software to do this. Does anyone know any web server or software for this purpose?
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thanks for your answer
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Hi
I would like to do molecular docking for my protein with metalloids such as arsenate, nitrate, selenate. I am able to dock for nitrate and selenate on the CB dock website. However, I am getting errors when I try to do that for arsenate. Is there a way to find why the error message and how to fix it in CB dock? or please suggest good and reliable free software for docking in Mac OS? I have the latest version of OS software (Monterey).
Please suggest or recommend, how to perform this work.
Thanks in advance
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Hi everyone, I'm currently working on an autodock4 and I've received those warning in my running process. I don't know how to fix or how it affects to my final results. Attached below are my dpf file and cmd warning.
Thanks for your advices.
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I use the free version of PyRx. It is bugging me for quite some time that every time I try to dock a specific ligand with a specific protein, the binding affinity differs. Sometimes, the difference is too much. For your convenience, I am giving an overall idea of how I do that.
1) At first, I prepare the ligand and protein and minimize their energies with different softwares.
2) Then I dock them in PyRx.
I follow the the procedure every time. However, the results are not the same. Can anyone help me out?
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what are informations that we extract from DLG file of autodock4 and what conclusion can we get
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I have performed multiple ligand molecular docking using AutoDock Vina in windows. There is any way to extract lowest binding energy value from all log files rather than copying value by opening each file one by one?
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I have made a java software program for that. If you need send an email to jlabhelper@gmail.com
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I am beginner in molecular docking field. I have read a lot research papers and books but I wanted a suggestion about any material that could help me clarify ideas about the biophysical basis of molecular docking.
Many thanks.
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i would like to learn drug design specially docking but i dont know how to start since i have no previous experience in this field as being a polymer chemist
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Good evening Ma/Sir, trust you all are in good health. I am interested in learning docking using Autodock and UCSF chimera. Please where can I get materials (videos) that can guide me especially in the area of active/binding site determination. Thank you.
Kind Regards
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I am trying to see whether there is an interaction between a specific virus protein and a natural compound (which will serve as my ligand), however I have no experience in molecular docking. I am aware that there are certain steps that need to be undertaken for me to get my protein and ligand both ready before I run molecular docking, but I am not sure where to start or how.
Some guidance would be very much appreciated. Thank you in advance.
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Hello everyone,
How can I prepare a hydrophobic ligand for molecular docking? Is there any tool for hydrophobic ligands?
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Hi researchers,
I have downloaded 20,000 compounds from databases in .sdf format in a single file (size: 108 GB).
Could someone guide me on splitting the enormous single ligand file into separate files? In the past, I've used open babel to convert the file from .sdf into .pdb. But, I wish to split this vast database ligand file into separate ligand files for molecular docking. Can I use the Open babel, command prompt for this work? Kindly do give suggestions on this issue.
thanks in advance
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Use Minimization Tool. Email me jlabhelper@gmail.com
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Which tools are best for prediction of binding pocket or active site of protein to perform molecular docking?
Thanks!!
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Use MultiDock Screening Tool
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What are off-targets and how to perform off-target analysis in molecular docking ?
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Use MultiDock Screening Tool
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How can we select the best ligands among more than 60K compounds for a protein based on their binding affinities?
These compounds are from an antiviral library and I performed molecular docking using autodock vina.
Should I select by ranking them on the basis of high to low binding affinity and then taking the top 10 or 100 ligands from it?
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Use MultiDock Screening Tool
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Hi,
I am currently screening more than 2000 compounds virtually on Vina, but I would like to perform covalent docking. Unfortunately, Vina's functionality is limited as its requires manual designation of the reactive atoms on the ligands. Is there any alternative that is free for academic purposes and suited for this sort of task?
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Use MultiDock Screening Tool
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Collaboration possible
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Use MultiDock Screening Tool
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I am trying to dock a small ligand into a protein containing three Mg2+ ions that are essential for ligand binding using AutoDock Vina. However, when I prepared the receptor pdbqt file via the Autodock tool, the charge of Mg2+ was zero. Can you guide me on how to address this problem? Thank you so much.
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Use MultiDock Screening Tool
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I have done molecular docking for 70 pdb comprises 30 pdb with ligand and 40 pdb without ligand against 418 ligand compounds from Drugbank. So, for each pdb, there are 70 different results for each 70 pdb. So, how can I visualize the interaction for each pdb against 418 ligands automatically by using Biovia Discovery Studio without manual method? The criteria that I am looking for are the position of ligand inside the binding site and the 2D diagram interaction.
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Use MultiDock Screening Tool
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I am attempting to convert several .sdf ligands (2D) into .pdbqt files using the Open Babel program for molecular docking. I have followed the steps below:
  1. Add Hydrogens
  2. Generate 3D Structures
  3. Perform Energy Minimization
  4. Convert to Mol2 Format
  5. Convert to PDBQT Format
After completing these steps, I encountered a fragmented structure, as shown in the picture. What could be the reason for this output, and how can I rectify it? Please provide your suggestions. Thank you.
Comandline I used:
obabel -isdf *.sdf -h -osdf -O*.sdf --gen3d
obminimize -ff MMFF94 -sd -n 10000 *.sdf
obabel *.sdf -omol2 -m
obabel *.mol2 -opdbqt -m
I have not used script based method yet I have seen some people have the same problem with script as well.
Note: This problem is coming with 2D.sdf files not with the 3D.sdf files.
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Hello,
I was wondering if there is a procedure available for implementing and running an exhaustiveness setting of 24 in Autodock 4.
My goal is to conduct a comparative analysis between the pose results obtained from Autodock Vina and Autodock 4 while maintaining consistent control parameters, including exhaustiveness, for both programs. Is running exhaustiveness = 24 possible in Autodock 4 just like in Vina? If so, how does one go about it?
Thank you in advance!
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Use MultiDock Screening Tool
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Hi RG colleagues,
Wondering if there are any researchers with expertise in molecular docking who would be interested in a small collaborative project? I am interested in predicting if a small selection of natural products are active against specific nociceptive receptors (such as TRPV1), and investigating the features responsible for their activity. I am hoping that we could get a publication out of the project.
Kind regards,
Joel
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I am Sai Pavithra doing research in Biotechnology related to herbal medicine. I did molecular docking using Autodoc Vina software. I am preparing for my viva voce. Kindly can anyone please tell me how should I present my molecular docking data for viva.
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Use MultiDock Screening Tool
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Dear All,
I downloaded ZINC000000001115 (Leukeran) in SDF 3D structure from Pubchem, https://pubchem.ncbi.nlm.nih.gov/compound/2708#section=3D-Conformer (figure 1).
Then I converted the ZINC000000001115.sdf into bdbqt files, with the use of Openbabel and AutodockTools, then I got the ZINC000000001115.pdbqt and checked its structure with Discovery Studio 2020 (figure 2). However, ZINC000000001115.pdbqt looks like a broken structure. Is the ZINC000000001115.pdbqt file good for further molecular docking or there is a problem during conversion?
Looking forward to your opinions and solutions.
Thank you and best wishes,
Xiaohua
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Use MultiDock Screening Tool
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Dear scientists, I need help with molecular docking with Autodock.
- When I upload the Protein or Ligand structure, the command "swig/python detected a memory leak of type 'BHtree *', no destructor found" appears on the screen (Picture 1).
- Then, I can't Run AutoGrid or AutoDock. When I press the Launch command (with files created), it only results in a window like this and sometimes nothing happens and The error log says "Sorry, I can't find or open Grid Parameter File "C:/Users/..." . I have everything in one folder already so it should find the files (Picture 2).
Can anyone tell me what have I done wrong and how to correct it? I tried a few times and it is still the same.
I look forward to receiving help from you.
Thanks very much.
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Use MultiDock Screening Tool
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Dear Docker community,
I'm a beginner at using molecular docking, and I'm facing a problem when I want to open or drop a pdb file on Autodock tools. The folder is saved with the extension.pdb; however, it cannot be run on ADT because it generates an error message.
I don't know how I can deal with such a problem; I need your urgent help.
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Molecular docking software/ websites?
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HI All,
I'm performing energy minimization for all 31,000 ligands from the CMNP Database. The file I downloaded is a single SDF containing all the structures. I'm using the OpenBabel module in PyRx for the energy minimization, but the program keeps getting stuck and exits automatically before completing the task. When I try to rerun it, the process starts from the beginning and gets stuck again. Could you suggest a solution to this problem, or recommend an alternative method to complete the energy minimization?
I want to do energy minimization for all the ligand and save each as PDBQT.
I have attached a screenshot of the error I'm getting from PyRx.
Thank you
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There is a Tool for minimization of multiple molecules.
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What softwares can I use and how do I start it?
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Use MultiDock Screening Tool
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Molecular docking Software or online application compatible with Mac OS Sonoma 14. Thank you!
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Have you found any relevant tool/software? for mac sonoma?
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After performing the molecular docking of ligands containing chlorine atoms, the .pdb files of the complex of the conformers of interest and the respective receptor were generated from the .dlg.pdb output file using the Maestro program. When trying to visualize ligand-receptor interactions, Discovery Studio shows alkyl-type interactions with the chlorine atom.
Does anyone know how this error can be fixed?
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Open your AutoDock complex file then go to detail description of ligand click on chlorine atom then go to chemistry >element>chlorine. After that check interaction.
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I've done molecular docking experiments with both AutoDock Vina and AutoDock. Now I'm interested in running molecular dynamics (MD) simulations to investigate the interactions between the docked ligands and their target proteins. Could you kindly suggest a suitable software for this task?
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Several free software packages are available for Molecular Dynamics (MD) simulations, each with different features and capabilities.
1. GROMACS
  • Platform: Linux, macOS, Windows
  • Description: GROMACS is one of the most widely used MD packages due to its high performance, especially for simulations of biomolecules. It is open-source and includes a wide range of tools for pre- and post-processing of simulation data.
  • Website: GROMACS
2. LAMMPS
  • Platform: Linux, macOS, Windows
  • Description: LAMMPS (Large-scale Atomic/Molecular Massively Parallel Simulator) is highly flexible and scalable, suitable for simulating a wide variety of materials and systems. It supports parallel computing and can handle large-scale systems.
  • Website: LAMMPS
3. NAMD
  • Platform: Linux, macOS, Windows
  • Description: NAMD is designed for high-performance simulations of large biomolecular systems. It is known for its efficiency in parallel computing environments and is often used in conjunction with the visualization tool VMD (Visual Molecular Dynamics).
  • Website: NAMD
4. AMBER (AmberTools)
  • Platform: Linux, macOS
  • Description: AmberTools is a suite of programs for preparing input files, analyzing simulations, and performing various other tasks related to MD. It includes a free version of the sander module for small-scale MD simulations.
  • Website: AMBER
5. OpenMM
  • Platform: Linux, macOS, Windows
  • Description: OpenMM is a flexible library for MD simulations that can be used as a stand-alone application or as a library to add MD capabilities to other software. It’s particularly optimized for running on GPUs.
  • Website: OpenMM
6. HOOMD-blue
  • Platform: Linux, macOS, Windows
  • Description: HOOMD-blue is designed for executing particle-based simulations on GPUs. It is efficient for systems with complex interactions and is widely used in soft matter research.
  • Website: HOOMD-blue
7. CP2K
  • Platform: Linux, macOS
  • Description: CP2K is a program to perform molecular dynamics, quantum chemistry, and solid-state physics simulations. It is suitable for a wide range of simulations, including classical MD, ab-initio MD, and hybrid methods.
  • Website: CP2K
These tools cover a broad range of MD applications, from biomolecular simulations to materials science.
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Good afternoon!
I am new to molecular docking. I have watched lessons on youtube, read forums, but still have questions about the algorithm of the work. I hope to find answers here. Sequence of work in AutoDock4: 1. protein preparation 2. ligand preparation 3. gridbox construction 4. map calculation 5. docking calculation 6. analysis In tutorial of molecular docking on known systems is considered. We know in advance where ligand binds to the protein. But what is the step-by-step algorithm of non-directed docking? And I have no prior knowledge. I think I need to create a gridbox as large as possible (126x126x126, 1 A). If the protein does not fit entirely in the gridbox, then move the center of the gridbox so as to capture the entire structure. That is, at the first step of molecular docking I will have several gridboxes created and calculated. Then I will gradually refine the gridbox values. For example, the next step will be for 126x126x126, 0.375 A maps. And so repeat until the map reaches a size, for example, 50x50x50 0.375A. And if my thoughts are correct, this is where my questions arise. 1. Should the maps overlap with each other in order to cover the whole space? 2. How should I decide which regions of my protein is less favorable? So I can further forget about them and focus only on the most favorable? I look forward to your answers and recommendations. Thank you in advance!
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If you really want to do blind docking, I suggest quickvina-w that was specially tailored for this task.
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Dear researchers,
I am working both in silico and in vivo in my doctoral thesis. In my in silico studies, I do molecular docking and molecular dynamics simulation and analyzes are performed on the protein. However, I am working on gene expression profiling in vivo. However, the gene I am working on is the gene of the protein I am working on in silico. My question to you is: Is it right to look at gene expression profiling in vivo? Or should I also study protein in the in vivo study? Are there any studies you can recommend on this subject?
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Merhabalar Fatma Kübra Hocam,
In certain instances, it may be more informative to examine protein levels in conjunction with gene expression profiles. This is because mRNA levels may not always align precisely with protein levels, potentially exhibiting discrepancies due to translational and post-translational regulations. If possible, it seems useful to conduct preliminary trials to identify possible differences and act according to the results. ,
Perhaps you can benefit from these two studies
Soru çok açıklayıcı olmamış tam olarak anlamadım ama mRNA seviyesini ölçerek protein ekspresyon seviyeleriyle korelasyon bakıyorsanız protein seviyelerine de bakmalısınız. Umarım yardımcı olur.
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For molecular docking of an organic compound with Bacillus megaterium which protein should choose?
Because the organic compund was tested its antimicrobial activity with "Bacillus megaterium" on Kirby-Buyer disc diffusion method.
When searching for the protein structure of "Bacillus megaterium" in RCSB PDB database, exactly it can't find "Bacillus megaterium " in this case which protein should take for molecular docking?
I have attached a screenshot of my search result of RCSB PDB website.
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maybe you can use this software to identify a probable target:
GitHub - BenderGroup/PIDGINv4: PIDGINv4
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I have conducted virtual screening using Schrödinger on a database of 17,000 molecules. Unfortunately, I cannot use the system with the Schrödinger license at the moment. I am trying to find a way to extract the binding energy from the PoseViewer .pv.maegz file generated by the screening on my local computer without using Schrödinger.
I attempted to convert the .maegz file to .sdf and then extract the binding energy, but this approach did not work. I would greatly appreciate any guidance or suggestions from those who have encountered and resolved a similar issue.
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Hi Nilanjana Mani , have you tried looking into the csv file that docking generates? It might have your energy values in tabulated format.
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Good day,
I am a student trying to work on Autodock for a project regarding Ligand-DNA interaction so i am quite new to molecular docking. i have followed tutorials and did all the steps recommended for the docking to work with PDBQT files for both the ligand and DNA, but every time i run AutoGrid the window for the process opens for less than 1 second and then shuts down immediately with no output file. i made sure the previous steps were working correctly and to open the ligand and DNA files in their respective input category and the paths for each part in the run window right before the launch have no spaces and are correct. Same problem happens with Autodock.
Does anyone know if there is a fix for this problem?
Thank you in advance.
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Uninstall all the docking related files..and also delete their source files from C drive..Then again download and install the software properly...I think the problem will be resolve
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A molecule shows the -11.6 kcal/mol and second one -8.0 kcal/mol so why molecule (A) revealed higher binding score. Please explain major factor involve in it.
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Does it having no Hydrogen Bonds, too? If it's having no interactions, neither hydrogen bond nor any other interactions, then check the structure of your ligand. Is it in 2D form?
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I am a beginner in molecular docking. And I want to know is the active pocket of the receptor the same for all ligands? Or will there be different active pockets for different ligand receptors? I want to do a hydrolase docking with a small carbohydrate molecule, I want to know exactly (or roughly) which part of the active pocket is in (I hope that the binding energy will be lower after docking), so how do I determine which range the active pocket of the receptor is in before docking? Looking forward to your response!
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Using PDBSum and CASTp
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My ligand is a metal complex conatining Ag (Silver). So when i tried to run Molecular docking using Autodock vina as well as PyRx, it shows error as
"Parse error on line 15 in file "Methioninesilver.pdbqt": ATOM syntax incorrect: "Ag" is not a valid AutoDock type. Note that AutoDock atom types are case-sensitive."
Any necessary recommendation to overcome this error.
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Hi Suraj, you will have to the edit the 'atom_constants.h' file in the vina install directory (given that you have installed vina from source). You will have to add the parameters of Ag in 'atom_constants.h' .
Adding new atom type in atom_constant.h is tricky.
To make things easy, you can rename Ag in your ligand to any metal which is recognized by vina (say, Zn, Mg, Fe etc.). Then you can change the parameter values of these metals in atom_constant.h file with that of Ag. The docking should then work fine. This is quite like dummy-atom approach.
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Need help regarding Molecular docking for publications, Authorship and due credit will be given. Looking for a purely non funded and academic collaboration, interested people can reach me.
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That seems pretty reasonable, will get back to you if possible. Thanks for the information
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selected 3 compounds I identified from medicinal plant and did some insilico metabolic analysis using an online molecular docking software. This is what I generated.
The Beta sheet- is a Breast cancer type 1 protein molecule
The thick substances are my 3 compounds. Their binding affirnity score range are:
1st one is: -3.9
Second: -4.9
3rd: -4.1.
I can conclude this preliminary results can be a starting point of novel anticancer drugs. Minimal acceptable binding affinity score is -3.2.
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May I know how did you choose pdb and which pathway did you targeted and why?
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I have to perform molecular docking on 2 ligands (A structure-absent in literature and B structure-sourced from PubChem) therefore, is energy minimisation necessary for both?
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use this app which automatically energy minimized the ligands while preparing https://sourceforge.net/projects/mzdock/
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If a 3D protein is obtained with the inhibitor complex, its wild-type size may change completely. In this case, it seems correct to investigate the binding mode with the inhibitor molecule. If the protein to be investigated has only an inhibitor complex, what protein should I select in the PDB and in my activator molecule research, and what path should it follow?
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Nail Besli Yes you are absolutely correct about the change in conformation of the protein when bound to two different molecule types. However, if you have no structural information available for the conformation with the activator, but have the information for the inhibitor binding.
Molecular dynamics can be a good way to gain some insights of how these conformations change when your protein is unbound (WT), bound to inhibitor and bound to the activator.
This comparative analysis of the structural transitions on a free energy landscape may provide you with detailed conformational transitions that are playing roles. It might be external factors too like salt concentration, pH temperature and so on.
Further, you may use this information to validate your results experimentally and if the changes are adequate you can measure them using fluorescence spectroscopy and circular dichroism spectroscopy experiments.
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Hi everyone,
I'm looking for some open source software for molecular docking with constraints based on distances or interactions. Any recommendations would be greatly appreciated.
Thanks!
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You can use AutoDockTools for the same
Regards
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When I run autogrid4 it says: autogrid4: ERROR: Unknown receptor type: "Se" -- Add parameters for it to the parameter library first!
How do i handle it? Thanks
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Sorry my silly question, where should I add "atom_par Se 4.21 0.291 14.000 -0.00110 0.0 0.0 0 -1 -1 4 # Non H-bonding"?
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Hi
I am practicing molecular docking using PyRx software. In articles, mostly Gaussian software is used to publish the molecular docking of any compound. Can be publish any molecular docking using PyRx (studying docking) and Discovery studio (studying ligand protein interaction, etc). Infect I am a beginner, and it is difficult to use Gaussian.
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Yeah absolutely! Gaussian is used for optimizations and theoretical chemical reactivity parameters. As per your concern, you can publish an article using Pyrx-based docking with valid explanations.
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I have a glycosylated protein and i want to dock it to another protein through the glycans not the amino acids. I have tried HADDOCK but the glycans were broken from each other and from the protein.
Are there specific webservers for docking of glycosylated protein to another protein through the glycan molecules?
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You can use Zdock and ClusPro server as well to see if the results are useful.
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molecular docking, aptamer
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Hi all,
I am trying docking protein-protein interaction. Is it necessary that i should remove heteroatoms from the protein structure, since its making main bonds between the amino acids?pls let me know.
Its ending up with the results like non-resideus ACE, clean the structure and apply charmpolar force.
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It depends, if those het atoms are necessary for your proteins to interact, then nope, otherwise remove them. If these het atoms are part of crystallization process, you should remove them.
You need to prepare your system as well, make sure all atoms are present, geometry is optimized and protein is minimized. Pay attention to missing parts and secondary structure mismatch, just in case.
Once your proteins are ready, then go for docking.
Last point, avoid blind docking, search literature and see if binding residues are reported (if not for this protein, may be for homologous protein), and used them as starting point.
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What are some good journals to publish molecular docking studies with no article processing charges?
Thanks and Regards
Aaryan Gupta
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Dear Aaryan,
There are many journals that include docking studies as part of their aims and scope; however, some of them are certainly behind paywalls. Therefore, if you wish to find one without APCs, you must first eliminate some journals from these publishers, namely MDPI and Frontiers.
Some other journals, such as Elsevier, Taylor & Francis, and Wiley, may allow you to publish your paper without paying APCs. Here are a few examples:
- Journal of Molecular Graphics and Modelling (Elsevier, ISSN: 1093-3263)
- Journal of Molecular Structure (Elsevier, ISSN: 0022-2860)
- Journal of Biomolecular Structure and Dynamics (Taylor & Francis, ISSN: 0739-1102)
- Molecular Simulation (Taylor & Francis, ISSN: 0892-7022)
- Journal of Molecular Recognition (Wiley, ISSN: 0952-3499)
However, bear in mind that nowadays, conducting docking studies alone is not usually sufficient for publication, especially in these prominent publishers. Unless you add further validation to your results, such as performing in vitro experiments or carrying out MD simulations, your manuscript will most likely be rejected. Therefore, I suggest you consider employing these approaches or look for another journal (preferably Q3-Q4) that might be able to publish your work in its current state.
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What are the steps to implement Dynamic Molecule with GROMACS using the results of molecular docking, and what programs are used?
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Please follow this link: GROMACS Tutorials (mdtutorials.com)
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Hello,
What are the methods for validating the outcomes derived from molecular docking along with their associated protocols?
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Experimental Validation:
  • Method: Experimental techniques such as X-ray crystallography, NMR spectroscopy, or other biophysical methods can be used to validate the predicted binding modes and affinities.
  • Protocol: Obtain experimental data for the same protein-ligand complex and compare it with the docking results.
Redocking Studies:
  • Method: Redocking involves re-docking a ligand into its binding site using the same parameters as in the initial docking.
  • Protocol: Compare the redocked conformation with the crystallographic or experimental structure of the complex. A good docking program should reproduce the experimental binding mode.
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I am doing molecular docking of the molecules that I synthesize and I am wondering how many poses would be necessary. I am doing this in maestro with glide and in the beginning by default I put 10 poses, but why not 50 poses. What would be the reason to get 50 poses instead of 10 or to get 100 poses instead of 50 ?
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It probably mainly depends on the surface area of your substrate and/or how many ligand binding sites there are. Hopefully, literature can help you with this information. Either way, I suppose the aim is to obtain as many ligand conformations for each bound pose. After a generating a certain number of docked poses, you might notice that the ligand conformations and their binding energies start to appear similar. In my opinion, this is where you stop generating more poses.
If I were you, I would read the literature first. If that does not provide me with sufficient information, I would take an approximate guess on the number of poses (preferably a high number) by looking at the surface area and electrostatics of the substrate and ligand, and also the time / resources required to perform this calculation.
All the best.
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I have designed 100 derivatives of indole and conducted molecular docking, MD simulation studies, ADMET analysis, and physicochemical analysis. Can this data be published as a research article? I would appreciate your suggestions on this matter.
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Dear Dr. Punet Kumar , You can use network pharmacological analysis to get your target protein.
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I have docked some chemical probes into my enzyme of interest Using CB-Dock2 services. I get multiple cavities detected but i know the one i want to dock in so only select 1 cavity. then it produces a protein-ligand complex when docking is complete.
However it only shows me one possible pose for the docked ligand in each cavity. Is there a way to be able to view multiple binding modes/poses in the same cavity? I tried downloading the protein-ligand complex pub and the ligand mol2 file but cant seem to find where to see other options for the same cavity? I was told there were multiple options for each cavity and it is possible to view them but i am unsure.
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Few ligand docking software allows you to explore multiple poses for a given ligand in a specific binding site. While CB-Dock2 might not provide this feature directly, you can try other docking tools like AutoDock or GOLD, which allow for flexible ligand docking and can provide multiple poses.
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I am currently looking for any tools to analyze the probable docking sites intead of going for blind docking. Is there any bio-informatics tools or webserver that can help me further analyze the pockets present in my protein of interest and export the co-ordinates.
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Here are some popular tools you can consider:
  1. CASTp (Computed Atlas of Surface Topography of proteins):Website: http://sts.bioe.uic.edu/castp/ CASTp is a web server that calculates and analyzes pockets on the protein surface. It provides information about the volume, area, and coordinates of the pockets.
  2. SiteMap:Website: https://www.schrodinger.com/sitemap SiteMap is a part of the Schrödinger Suite and is widely used for predicting binding sites on proteins. It analyzes the electrostatic and hydrophobic properties of the protein surface.
  3. PocketPicker:Website: https://www.pkoukos.gr/?page_id=15 PocketPicker is a standalone software for identifying ligand-binding sites on protein surfaces. It employs a geometric algorithm to identify potential binding pockets.
  4. DoGSiteScorer:Website: https://dogsite.zbh.uni-hamburg.de/ DoGSiteScorer predicts ligand-binding sites based on conservation, geometry, and hydrophobicity. It provides a score for each predicted site.
  5. Fpocket:Website: http://fpocket.sourceforge.net/ Fpocket is an open-source tool that identifies and characterizes binding pockets in proteins. It uses Voronoi tessellation and alpha spheres for pocket detection.
  6. MetaPocket:Website: http://projects.biotec.tu-dresden.de/metapocket/ MetaPocket is a meta server that combines the prediction results from multiple pocket prediction methods to improve accuracy.
It is important to carefully analyze the results from these tools and consider using multiple tools to cross-validate the predicted binding sites.
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What to do if ChimeraX software doesn't recognise the .chimerax file downloaded from SwissDock after docking?
Besides, the zip file of prediction done was empty.
Thank you.
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I had this issue - I used 7-zip to unpack teh folder instead and then it was fine
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Hi, how can one achieve protein-protein interaction through molecular docking, in brief?
Should I prepare both my molecule and my receptor in advance of using the Cluspro server, or should I use the protein's PDB format directly?
With gratitude
My best wishes.
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To achieve protein-protein interaction through molecular docking, the following steps are involved:
1.Preparation: Prepare the protein structures to be docked by removing water molecules, adding any missing atoms, and optimizing the structures.
2.Selection of Docking Software: Choose appropriate molecular docking software or tools that utilize algorithms to predict the best possible binding conformations between the proteins.
3.Docking Algorithm: Apply the selected docking algorithm, often based on scoring functions and search algorithms. These algorithms explore the possible orientations of the proteins and evaluate their compatibility based on various criteria, such as shape complementarity, electrostatic interactions, and hydrogen bonding.
4.Binding Site Identification: Identify the binding sites or regions on the proteins where interaction is likely to occur. These sites can be determined through experimental data, protein structures, or predictive algorithms.
5.Docking Simulation: Run the docking simulation by allowing the proteins to move and explore different conformations to find the most energetically favorable or probable binding configuration.
6.Scoring and Analysis: Evaluate and score the generated docking poses to identify the most promising protein-protein interaction models. Higher scores typically indicate better binding affinity and stability.
7.Validation: Validate the predicted protein-protein interactions using experimental techniques like biochemical assays, mutagenesis studies, or structural analysis (e.g., X-ray crystallography, NMR) to confirm the accuracy of the predicted complexes.
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I need a help regarding the molecular docking of a ligand which contains Ag or Fe as an atom, as I use Autodock vina and Autodock 1.5.7 and it doesn't contain their parameters. If someone knows the solution please can you explain me that.
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In autodock you have to change the parameter file and add the metal and its coordinate in parameter .dat file, I've attached below the parameter link for metals.
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I have a 3D-structure of a protein, but it is an apoprotein. I am using Maestro for molecular docking. I want to find out the protein binding site in my protein.
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