Journal of Biomolecular Structure and Dynamics

Journal of Biomolecular Structure and Dynamics

Published by Taylor & Francis

Online ISSN: 1538-0254

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Top-read articles

72 reads in the past 30 days

The evaluation of Hertia cheirifolia L. extract by GC-MS coupled with in silico study as potent inhibitors of human pancreatic lipase

December 2024

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122 Reads

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Neşet Neşetoğlu

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[...]

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Hertia cheirifolia L. leaves have a long history of traditional use in treating hemorrhoids, diarrhea, rheumatic discomfort, and stomachaches. The aerial part of this plant is extracted using hexane after hydroalcoholic maceration. Analysis of the crude extract by GC-MS revealed the presence of 34 compounds, which were further investigated using in silico techniques. Notably, ligularenolide demonstrated promising cytotoxicity profiles without any indication of carcinogenic activity or cardiovascular risks. In contrast, other compounds exhibited moderate enzyme inhibition alongside notable levels of toxicity. Interestingly, our dynamic studies highlighted the stability of the ligularenolide-human pancreatic lipase (HPL) complex, showcasing its potential as an anti-obesity agent. Importantly, ligularenolide exhibited significant inhibition of HPL, (Predicted biological activities 1115 PBA) compared to orlistat, as confirmed by PASS predictions and docking results. These findings underscore the potential of Hertia cheirifolia L. extract as a natural source of anti-obesity agents, warranting further investigation into its therapeutic applications.

65 reads in the past 30 days

Integrating machine learning and high throughput screening for the discovery of allosteric AKT1 inhibitors

December 2023

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143 Reads

Evidence from clinical and experimental investigations reveals the role of AKT in oral cancer, which has led to the development of therapeutic and pharmacological medications for inhibiting AKT protein. Despite prodigious effort, researchers are searching for new allosteric inhibitors as orthosteric inhibitors are non-selective and exert off-target effects. In the current study, we proposed an integrated computational workflow for identifying allosteric AKT1 inhibitors as this isoform is highly correlated with poor prognosis and survival. To achieve this objective, 84 classification QSAR models with six different machine learning algorithms were developed. The models created with RDKit_RF and RDKit_kstar outperformed internal and test set validation with an ROC of 0.98. The outperformed models were then used to screen Chembl, which contains over a million compounds, for AKT1 inhibitors. The Tanimoto similarity search approach identified the compounds structurally resembling AKT allosteric inhibitors. The filtered compounds were further subjected to docking phases, molecular dynamic simulation and mmpbsa to verify the binding mode of selected ones. All these analyses suggested hit 5 (CHEMBL3948083) as the potential allosteric inhibitor of AKT1 as the stability parameters, favourable binding affinity (-107.78 ± 11.56 KJ/mol) and ligand interaction were better in comparison to other compounds and reference compound. The residual analysis demonstrated that allosteric and isoform-specific residues such as Trp80 and Val270 contributed the larger energy for ligand binding. The proposed integrated approach in this study might achieve a futuristic outcome when employed in a pharmaceutical scheme different from the conventional method.

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Aims and scope


Publishes international research on biological structure and dynamics, including atomic structural biology, bioinformatics, genomics and biological networks.

  • The Journal of Biomolecular Structure and Dynamics welcomes manuscripts on biological structure, dynamics, interactions and expression.
  • The Journal is one of the leading publications in high end computational science, atomic structural biology, bioinformatics, virtual drug design, genomics and biological networks.
  • The Journal publishes original articles and timely reviews. If an author wishes to write a review, please obtain clearance from any one of the Editors.
  • The Journal of Biomolecular Structure and Dynamics is an international, peer-reviewed journal which publishes high quality, original research contributions to scientific knowledge.

For a full list of the subject areas this journal covers, please visit the journal website.

Recent articles


Exploring the conformational space of ROS1 kinase domain and the impact of allosteric mutations
  • Article

January 2025

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4 Reads

Farhan Ul Haq

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Juliana Fatima Vilachã

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Ken Op de Beeck

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Geert Vandeweyer


Profiling the antidiabetic potential of GC-MS compounds identified from the methanolic extract of Spilanthes filicaulis: experimental and computational insight

January 2025

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88 Reads

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5 Citations

This study examines the nutritional composition, phytochemical profiling, and antioxidant, antidiabetic, and anti-inflammatory potential of a methanolic extract of Spilanthes filicaulis leaves (MESFL) via in vitro, ex vivo, and in silico studies. In vitro antioxidant, antidiabetic, and anti-inflammatory activities were examined. In the ex vivo study, liver tissues were subjected to FeSO 4-induced oxidative damage and treated with varying concentrations of MESFL. MESFL contains a reasonable amount of nitrogen-free extract, moisture, ash content, crude protein, and fat, with a lesser amount of crude fiber. According to GC-MS analysis, MESFL contains ten compounds, the most abundant of which are 13-octadecenal and Ar-tumerone. In this study, MESFL demonstrated anti-inflammatory activities via membrane stabilizing properties, proteinase inhibition, and inhibition of protein denaturation (IC 50 ¼ 72.75 ± 11.06 mg/mL). MESFL also strongly inhibited both a-amylase (IC 50 ¼ 307.02 ± 4.25 mg/mL) and a-glucosidase (IC 50 ¼ 215.51 ± 0.47 mg/mL) activities. Our findings also showed that FeSO 4-induced tissue damage decreased the levels of GSH, SOD, and CAT activities while increasing the levels of MDA. In contrast, treatment with MESFL helped to restore these parameters to near-normal levels, which signifies that MESFL has great potential to address complications from oxidative stress. Furthermore, the in silico interaction of the GCMS-identified phytochemicals with the active sites of a-amylase and a-glucosidase via molecular and ensembled-based docking displayed strong binding affinities of Ar-tumerone and 4-hydroxy-3-methylacetophenone to a-amylase and a-glucosidase, respectively. Taken together, the biological activities of MESFL might be a result of the effects of these secondary metabolites. ARTICLE HISTORY




Conformational dynamics of the membrane protein of MERS-CoV in comparison with SARS-CoV-2 in ERGIC complex

January 2025

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18 Reads

The present study explores the conformational dynamics of the membrane protein of Middle East Respiratory Syndrome Coronavirus (MERS-CoV) within the Endoplasmic Reticulum-Golgi Intermediate Compartment (ERGIC) complex using an all-atomistic molecular dynamics simulation approach. Significant structural changes were observed in the N-terminal, C-terminal, transmembrane, and beta-sheet sandwich domains of the MERS-CoV membrane protein. This study also highlights the structural similarities between the MERS-CoV and the SARS-CoV-2 membrane proteins, particularly in how both exhibit a distinct kink in the transmembrane helix caused by aromatic residue-lipid interactions. A structural expansion below the transmembrane and above the beta-sheet sandwich domain within the dimer was observed in all the M-proteins. This site on the beta-sheet sandwich domains near the C-terminal end could serve as a potential drug-binding site. Notably, a stable helical structure was identified in the C-terminal domain of the MERS-CoV membrane protein, whereas a proper secondary structural conformation was not observed in the SARS-CoV-2 membrane protein. Further, the SARS-CoV-2 membrane protein exhibited stronger binding to the lipid bilayer than the MERS-CoV, indicating its greater structural stability within the ERGIC complex. The structural similarity between the membrane protein of MERS-CoV and SARS-CoV-2 suggests the feasibility of employing a common inhibitor against these beta-coronaviruses. Furthermore, this analysis enhances our understanding of the membrane protein’s interactions with proteins and lipids, paving the way for therapeutic developments against these viruses.






Genomic profiling and molecular dynamics analysis of parDEPa toxin-antitoxin homologs targeting DNA gyrase in Pseudomonas aeruginosa: insights from computational investigations

January 2025

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47 Reads

In the realm of hospital-acquired and chronic infections, Pseudomonas aeruginosa stands out, demonstrating significant associations with increased morbidity, mortality, and antibiotic resistance. Antibiotic-resistant strains are believed to contribute to thousands of deaths each year. Chronic and latent infections are associated with the bacterial toxin-antitoxin (TA) system, although the mechanisms involved are poorly understood. This study focuses on a novel type II TA system, parDEPa, identified in the genome of P. aeruginosa ATCC 27853. We explored its structural features, functional relationships, and genetic configurations. Our research identified parDEPa homologs in P. aeruginosa, clarified their interactions, and highlighted connections to essential cellular metabolic processes. Notably, homologs of the ParDPa antitoxin were found to be more conserved than the ParEPa toxin. Structural models of the ParEPa toxin and ParDPa antitoxin confirmed their integrity. Through docking and molecular dynamics simulations, we showed that the ParEPa toxin binds to DNA gyrase, inhibiting replication. The stability of the ParDPa-ParEPa complex is primarily driven by hydrophobic interactions (−1763.2 kcal/mol), while the ParEPa-GyrAPa interaction is sustained by strong electrostatic forces (−1294.9 kcal/mol). The RMSD scores indicated greater stability for the ParDPa-ParEPa complex (1.11 Å) than the ParEPa-GyrAPa complex (1.16 Å). RMSF analysis identified key residues involved in the ParDPa-ParEPa complex (Leu59, Gly60, Arg115, Asn116, Arg117) and the ParEPa-GyrAPa complex (Pro48, Gln49, Ser55, Asp94, Gln95). These findings significantly enhance our understanding of the structural and metabolic roles of the chromosomally encoded parDEPa TA module in P. aeruginosa.













Journal of Biomolecular Structure and Dynamics ISSN: (Print) ( Investigation of bioremediation for glyphosate and its metabolite in soil using arbuscular mycorrhizal GmHsp60 protein: a molecular docking and molecular dynamics simulations approach
  • Article
  • Full-text available

December 2024

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25 Reads




Immunoinformatics-based design of a multi-epitope vaccine for Marburg virus

December 2024

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55 Reads

Marburg viruses (MARV) are negative-stranded RNA viruses belonging to filoviridae family. This virus causes severe haemorrhagic fever in humans and non-human primates, with a high fatality rate. Currently, there are no vaccines or drugs have been approved to induce productive immunity or control viral infection. As a result, vaccination against this virus is essential for reducing mortality rates. The current study aimed to identify CTL (cytotoxic T lymphocytes) and B-cell epitopes of MARV using in silico tools. A total of 3697 CTL epito-pes and 4577 B-cell epitopes were predicted in the viral proteome of MARV. A reverse vaccinology approach was used to reduce the predicted CTL epitopes by adjusting MHC class I processing, immunogenicity, and other parameters. Finally, epitopes that are non-toxic, antigenic, non-allergenic, and non-homologous to the human proteome were chosen. Among these, 29 novel immunodominant MARV CTL epitopes were docked to their respective HLA alleles and the stability of the interaction was assessed using molecular dynamics simulation. All HLA-epitope complexes were found to be stable indicating that the predicted epitopes are binding with good affinity. Finally, a multi-epitope vaccine with three B-cell epitopes and ten CTL epitopes was designed. The secondary and tertiary structures of the vaccine construct were predicted, refined, and validated. The vaccine construct's codons were then optimized for maximum protein expression. In silico cloning was used to insert the gene construct into the pcDNA 3.1 (þ) vector. This final construct can be used to develop an effective epitope-based MARV vaccine. ARTICLE HISTORY


Journal metrics


4.4 (2022)

Journal Impact Factor™


33%

Acceptance rate


9.1 (2022)

CiteScore™


21 days

Submission to first decision

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