Journal of biomolecular Structure & Dynamics (J BIOMOL STRUCT DYN)

Publisher: Taylor & Francis

Journal description

The Journal of Biomolecular Structure and Dynamics cordially welcomes manuscripts from active investigators in biological structure, dynamics, interactions and expression. The Journal will cover both experimental and theoretical investigations in the area of nucleic acids, nucleotides, proteins, peptides, membranes, polysaccharides and all their components, metal complexes and model systems. The Journal publishes original articles, communications a la express and timely reviews.

Current impact factor: 2.92

Impact Factor Rankings

2016 Impact Factor Available summer 2017
2014 / 2015 Impact Factor 2.919
2013 Impact Factor 2.983
2010 Impact Factor 4.986
2009 Impact Factor 1.124
2008 Impact Factor 1.289
2007 Impact Factor 1.413
2006 Impact Factor 1.299
2005 Impact Factor 1.43
2004 Impact Factor 1.113
2003 Impact Factor 1.131
2002 Impact Factor 1.009
2001 Impact Factor 1.243
2000 Impact Factor 1.826
1999 Impact Factor 1.407
1998 Impact Factor 1.643
1997 Impact Factor 1.283

Impact factor over time

Impact factor

Additional details

5-year impact 2.42
Cited half-life 4.60
Immediacy index 0.94
Eigenfactor 0.00
Article influence 0.53
Website Journal of Biomolecular Structure & Dynamics website
Other titles Journal of biomolecular structure & dynamics, Journal of biomolecular structure and dynamics
ISSN 1538-0254
OCLC 9688706
Material type Periodical, Internet resource
Document type Journal / Magazine / Newspaper, Internet Resource

Publisher details

Taylor & Francis

  • Pre-print
    • Author can archive a pre-print version
  • Post-print
    • Author can archive a post-print version
  • Conditions
    • Some individual journals may have policies prohibiting pre-print archiving
    • On author's personal website or departmental website immediately
    • On institutional repository or subject-based repository after either 12 months embargo
    • Publisher's version/PDF cannot be used
    • On a non-profit server
    • Published source must be acknowledged
    • Must link to publisher version
    • Set statements to accompany deposits (see policy)
    • The publisher will deposit in on behalf of authors to a designated institutional repository including PubMed Central, where a deposit agreement exists with the repository
    • STM: Science, Technology and Medicine
    • Publisher last contacted on 25/03/2014
    • This policy is an exception to the default policies of 'Taylor & Francis'
  • Classification

Publications in this journal

  • [Show abstract] [Hide abstract]
    ABSTRACT: Lung cancer, characterized by uncontrolled cell growth in the lung tissue, is the leading cause of global cancer deaths. Until now, effective treatment of this disease is limited. Many synthetic compounds have emerged with the advancement of combinatorial chemistry. Identification of effective lung cancer candidate drug compounds among them is a great challenge. Thus, it is necessary to build effective computational methods that can assist us in selecting for potential lung cancer drug compounds. In this study, a computational method was proposed to tackle this problem. The chemical-chemical interactions and chemical-protein interactions were utilized to select candidate drug compounds that have close associations with approved lung cancer drugs and lung cancer-related genes. A permutation test and K-means clustering algorithm were employed to exclude candidate drugs with low possibilities to treat lung cancer. The final analysis suggests that the remaining drug compounds have potential anti-lung cancer activities and most of them have structural dissimilarity with approved drugs for lung cancer.
    No preview · Article · Feb 2016 · Journal of biomolecular Structure & Dynamics
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    ABSTRACT: Nanoparticle -albumin complexes are being designed for targeted drug delivery and imaging. However the changes in the functional properties of albumin due to adsorption on nanoparticles remain elusive. Thus the objective of this work was to elucidate the structural and functional properties of human and bovine serum albumin bound to negatively charged gold nanoparticles (GNPs). Fluorescence data demonstrated static quenching of albumin by GNP with the quenching of buried as well as surface tryptophan in BSA. The binding process was enthalpy and entropy driven in HSA and BSA respectively. At lower concentrations of GNP there was a higher affinity for tryptophan whereas at higher concentrations both tryptophan and tyrosine participated in the interaction. Synchronous fluorescence spectra revealed that the microenvironment of tryptophan in HSA turned more hydrophilic upon exposure to GNP. The α-helical content of albumin was unaltered by GNP. Approximately 37% and 23% reduction in specific activity of HSA and BSA was observed due to GNP binding. In presence of warfarin and ibuprofen the binding constants of albumin-GNP complexes were altered. A very interesting observation not reported so far is the retained antioxidant activity of albumin in presence of GNP i.e we believe that GNPs did not bind to the free sulfhydryl groups of albumin. However enhanced levels of copper binding were observed. We have also highlighted the differential response in albumin due to gold and silver nanoparticles which could be attributed to differences in the charge of the nanoparticle.
    No preview · Article · Jan 2016 · Journal of biomolecular Structure & Dynamics
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    ABSTRACT: The voltage gated Kv1.5 channels conduct the ultrarapid delayed rectifier current (IKur) and play critical role in repolarization of action potential duration. It is the most rapidly activated channel and has very little or no inactivated states. In human cardiac cells, these channels are expressed more extensively in atrial myocytes than ventricle. From the evidences of its localization and functions, Kv1.5 has been declared a selective drug target for the treatment of atrial fibrillation (AF). In this present study, we have tried to identify the rapidly activating property of Kv1.5 and studied its mode of inhibition using molecular modeling, docking and simulation techniques. Channel in open conformation is found to be stabilized quickly within the DPPC membrane, whereas most of the secondary structure elements were lost in closed state conformation. The obvious reason behind its ultra-rapid property is possibly due to the amino acid alteration in S4-S5 linker; the replacement of Lysine by Glutamine and vice versa. The popular published drugs as well as newly identified lead molecules were able to inhibit the Kv1.5 in a very similar pattern, mainly through the nonpolar interactions, and formed sable complexes. V512 is found as the main contributor for the interaction along with the other important residues such as V505, I508, A509, V512, P513, and V516. Furthermore, two screened novel compounds show surprisingly better inhibitory potency and can be considered for the future perspective of antiarrhythmic survey.
    No preview · Article · Jan 2016 · Journal of biomolecular Structure & Dynamics
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    ABSTRACT: Phosphotriesterase-like lactonases (PLLs) have received much attention because of their physical and chemical properties. They may have widespread applications in various fields. For example, they show potential for quorum sensing signaling pathways and organophosphorus (OP) detoxification in agricultural science. However, the mechanism by which PLLs hydrolyzing, which involves OP compounds and lactones and a variety of distinct catalytic efficiencies, has only rarely been explored. In the present study, molecular dynamics (MD) simulations were performed to characterize and contrast the structural dynamics of DrPLL, a member of the PLL superfamily in Deinococcus radiodurans, bound to two substrates, δ-nonanoic lactone and paraoxon. It has been observed that there is a 16-fold increase in the catalytic efficiency of the two mutant strains of DrPLL (F26G/C72I) versus the wild-type enzyme toward the hydrolysis of paraoxon, but an explanation for this behavior is currently lacking. The analysis of the molecular trajectories of DrPLL bound to δ-nonanoic lactone indicated that lactone-induced conformational changes take place in loop 8, which is near the active site. Binding to paraoxon may lead to conformational displacement of loop 1 residues, which could lead to the deformation of the active site and so trigger the entry of the paraoxon into the active site. The efficiency of the F26G/C72I mutant was increased by decreasing the displacement of loop 1 residues and increasing the flexibility of loop 8 residues. These results provide a molecular-level explanation for the experimental behavior.
    No preview · Article · Jan 2016 · Journal of biomolecular Structure & Dynamics
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    ABSTRACT: Transient interactions between Cancer Stem cells (CSCs) and components of the tumor microenvironment initiate various signaling pathways crucial for carcinogenesis. Predominant hyaluronan (HA) receptor, CD44 is structurally and functionally one of the most variable cell surface receptors having the potential to generate a diverse repertory of CD44 isoforms by alternative splicing of variant exons and posttranslational modifications. A structurally distinctive variant of CD44, CD44v10 has an inevitable role in malignant progression, invasion and metastasis. This can be attributed to the binding of HA with CD44v10, which demonstrates a completely different behavioural pattern as compared to the other spliced variants of CD44 molecule. Absence of a comprehensively predicted crystal structure of human CD44s and CD44v10 is an impediment in understanding the resultant structural alterations caused by the binding of HA. Thus, in this study we aim to predict the CD44s & CD44v10 structures to their closest native confirmation and study the HA binding induced structural perturbations by using homology modeling, molecular docking and MD simulation approach. The results depicted that modeled 3D structures of CD44s and CD44v10 isoforms were found to be stable throughout MD simulations, however, a substantial decrease was observed in binding affinity of HA with CD44v10 (-5.355 kcal/mol) as compared to CD44s. Furthermore, loss & gain of several H-bonds and hydrophobic interactions in CD44v10-HA complex during the simulation process not only elucidated the reason for decreased binding affinity for HA but also prompted towards the plausible role of HA induced structural perturbations in occurrence and progression of carcinogenesis.
    No preview · Article · Jan 2016 · Journal of biomolecular Structure & Dynamics
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    ABSTRACT: Drug-drug interaction (DDI) defines a situation in which one drug affects the activity of another when both are administered together. DDI is a common cause of adverse drug reactions and sometimes also leads to improved therapeutic effects. Therefore, it is of great interest to discover novel DDIs according to their molecular properties and mechanisms in a robust and rigorous way. This paper attempts to predict effective DDIs using the following properties: (1) chemical interaction between drugs; (2) protein interactions between the targets of drugs; and (3) target enrichment of KEGG pathways. The data consisted of 7,323 pairs of DDIs collected from the DrugBank and 36,615 pairs of drugs constructed by randomly combining two drugs. Each drug pair was represented by 465 features derived from the aforementioned three categories of properties. The random forest algorithm was adopted to train the prediction model. Some feature selection techniques, including minimum redundancy maximum relevance (mRMR) and incremental feature selection (IFS), were used to extract key features as the optimal input for the prediction model. The extracted key features may help to gain insights into the mechanisms of DDIs and provide some guidelines for the relevant clinical medication developments, and the prediction model can give new clues for identification of novel DDIs.
    No preview · Article · Jan 2016 · Journal of biomolecular Structure & Dynamics
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    ABSTRACT: Cholera is an infectious disease caused by cholera toxin (CT) protein of bacterium Vibrio cholerae. A sequence of Sialic acid (N-acetylneuraminic acid, NeuNAc or Neu5Ac) analogues modified in its C-5 position is modeled using molecular modeling techniques and docked against the CT followed by molecular dynamics simulations. Docking results suggest better binding affinity of NeuNAc analogue towards the binding site of CT. The NeuNAc analogues interact with the active site residues GLU:11, TYR:12, HIS:13, GLY:33, LYS:34, GLU:51, GLN:56, HIE:57, ILE:58, GLN:61, TRP:88, ASN:90 and LYS:91 through intermolecular hydrogen bonding. Analogues N-glycolyl-NeuNAc, N- Pentanoyl- NeuNAc and N- Propanoyl- NeuNAc show the least XPGscore (docking score) of -9.90, -9.16, and -8.91respectively and glide energy of -45.99, -42.14 and -41.66 kcal/mol respectively. Stable nature of CT- N-glycolyl-NeuNAc, CT- N- Pentanoyl- NeuNAc and CT- N- Propanoyl- NeuNAc complexes were verified through molecular dynamic simulations each for 40ns using the software Desmond. All the nine NeuNAc analogues show better score for drug-like properties, so it could be considered as suitable candidates for drug development for cholera infection. To improve the enhanced binding mode of NeuNAc analogues towards CT, the nine NeuNAc analogues are conjugated with Zn nano clusters through ethylene glycol (EG) as carriers. The NeuNAc analogues conjugated with EG-Zn nano clusters show better binding energy towards CT than the unconjugated nine NeuNAc analogues. The electronic structural optimization of EG-Zn nanoclusters were carried out for optimizing their performance as better delivery vehicles for NeuNAc analogues through density functional theory (DFT) calculations. These sialic acid analogues may be considered as novel leads for the design of drug against cholera and the EG-Zn nanocluster may be a suitable carrier for sialic acid analogues.
    No preview · Article · Jan 2016 · Journal of biomolecular Structure & Dynamics
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    ABSTRACT: Azadirachtin(A) (AZA) a potential insecticide from neem binds to actin and induces depolymerization in Drosophila. AZA binds to the pocket same as that of Latrunculin A (LAT) but LAT inhibits actin polymerization by stiffening the actin structure and affects the ADP-ATP exchange. The mechanism by which AZA induces actin depolymerization is not clearly understood. Therefore, different computational experiments were conducted to delineate the precise mechanism of AZA induced actin depolymerization. Molecular dynamics studies showed that AZA strongly interacted with subdomain 2 and destabilised the interactions between subdomain 2 of one actin and subdomain 1 & 4 of the adjacent actin, causing the separation of actin subunits. The separation was observed between subdomain 3 of subunit n and subdomain 4 of subunit n+2. However, the specific triggering point for the separation of the subunits was the destabilisation of direct interactions between subdomain 2 of subunit n (Arg39, Val45, Gly46 and Arg62) and subdomain 4 of subunit n+2 (Asp286, Ile287, Asp288, Ile289, Asp244 and Lys291). These results reveal a unique mechanism of an actin filament modulator that induces depolymerization. This mechanism of AZA can be used to design similar molecules against mammalian actins for cancer therapy.
    No preview · Article · Dec 2015 · Journal of biomolecular Structure & Dynamics
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    ABSTRACT: Nowadays, biomedicine is characterized by a growing need for processing of large amounts of data in real time. This leads to new requirements for information and communication technologies (ICT). Cloud computing offers a solution to these requirements and provides many advantages, such as cost savings, elasticity and scalability of using ICT. The aim of this paper is to explore the concept of cloud computing and the related use of this concept in the area of Biomedicine. Authors offer a comprehensive analysis of the implementation of the cloud computing approach in biomedical research, decomposed into infrastructure, platform and service layer, and a recommendation for processing large amounts of data in Biomedicine. Firstly, the paper describes the appropriate forms and technological solutions of cloud computing. Secondly, the high end computing paradigm of cloud computing aspects is analysed. Finally, the potential and current use of applications in scientific research of this technology in biomedicine is discussed.
    No preview · Article · Dec 2015 · Journal of biomolecular Structure & Dynamics
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    ABSTRACT: DNA-protein interactions, including DNA-antibody complexes, have both fundamental and practical significance. In particular, antibodies against double-stranded DNA play an important role in the pathogenesis of autoimmune diseases. Elucidation of structural mechanisms of an antigen recognition and interaction of anti-DNA antibodies provides a basis for understanding the role of DNA-containing immune complexes in human pathologies and for new treatments. Here we used Molecular Dynamic simulations of bimolecular complexes of a segment of dsDNA with a monoclonal anti-DNA antibody's Fab-fragment to obtain detailed structural and physical characteristics of the dynamic intermolecular interactions. Using a computationally modified crystal structure of a Fab-DNA complex (PDB: 3VW3), we studied in silico equilibrium Molecular Dynamics of the Fab-fragment associated with two homologous dsDNA fragments, containing or not containing dimerized thymine, a product of DNA photodamage. The Fab-fragment interactions with the thymine dimer-containing DNA was thermodynamically more stable than with the native DNA. The amino acid residues constituting a paratope and the complementary nucleotide epitopes for both Fab-DNA constructs were identified. Stacking and electrostatic interactions were shown to play the main role in the antibody-dsDNA contacts, while hydrogen bonds were less significant. The aggregate of data show that the chemically modified dsDNA (containing a covalent thymine dimer) has a higher affinity towards the antibody and forms a stronger immune complex. These findings provide a mechanistic insight into formation and properties of the pathogenic anti-DNA antibodies in autoimmune diseases, such as systemic lupus erythematosus, associated with skin photosensibilisation and DNA photodamage.
    No preview · Article · Dec 2015 · Journal of biomolecular Structure & Dynamics
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    ABSTRACT: The interaction of Pyronin Y with human serum albumin (HSA) has been investigated systematically by fluorescence, absorption, fluorescence decay lifetime measurements, FTIR, synchronous fluorescence spectroscopy and molecular modeling method. The spectroscopic and fluorescence quenching experiments show that Pyronin Y may show a static quenching mechanism with HSA. The specific binding distance of 1.96 nm between HSA and Pyronin Y was obtained via Förster non-radiation energy transfer method. The thermodynamic parameters indicate that the electrostatic interactions play a significant role during the binding process. In addition, synchronous fluorescence and FT-IR spectra indicated that the conformation and microenvironment of HSA was not influenced with the addition of Pyronin Y. The obtained results can be of biological significance in photodynamic therapy.
    No preview · Article · Dec 2015 · Journal of biomolecular Structure & Dynamics
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    ABSTRACT: Genetic variations in oncogenes can often promote uncontrolled cell proliferation by altering the structure of the encoded protein, thereby altering its function. The PI3KCA oncogene that encodes for p110α, the catalytic subunit of phosphatidylinositol 3-kinase (PI3K), is one the most frequently mutated oncogenes in humans. PI3K plays a pivotal role in cell division. PI3K consists of two subunits: the catalytic (p110α) and regulatory (p85α). The regulatory subunit usually controls the catalytic subunit and switches off the enzyme when not required. It is believed that mutations in PI3KCA gene can alter the control of p85α over p110α and can sustain p110α in a prolonged active state. This in turn results in uncontrolled cell division. In this study, we investigate the pathogenic role of two point mutations: E542K and E545K on p110α subunit and how they alter its binding with the regulatory subunit. Molecular interaction and molecular dynamic (MD) simulation analysis are performed to study the dynamic behaviour of native and mutant structures at atomic level. Mutant p110α showed less interaction with its regulatory partner p85α than the native did, due to its expanded and rigid structure. Our analysis clearly points out that the structural and functional consequences of the mutations could promote tumour proliferation.
    No preview · Article · Dec 2015 · Journal of biomolecular Structure & Dynamics
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    ABSTRACT: Human cystatin C (HCC) amyloid angiopathy (HCCAA) is characterized by tissue deposition of amyloid fibrils in blood vessels, which can lead to recurrent hemorrhagic stroke. Wild-type (WT) HCC forms part of the amyloid deposits in brain arteries of elderly people with amyloid angiopathy. A point mutation causing a glutamine to a leucine substitution at residue 68 in the HCC polypeptide chain greatly increases the amyloidogenic propensity of HCC and causes a more severe cerebral hemorrhage and premature death in young adults. In this study we used molecular dynamics simulations to assess the importance of disulfide bridge formation upon the stability of chicken cystatin (cC) and how this may influence the propensity for amyloid formation. We found that disulfide bridge formation between Cys95 and Cys115 in human cystatin played a critical role in overall protein stability. Importantly Cys95-Cys115 influenced cystatin structure in regions of the protein that play key roles in the protein-folding transitions that occur, which enable amyloid fibril formation. We hypothesized that correct disulfide bridge formation is a critical step in stabilizing cystatin towards its native conformation. Disrupting Cys95-Cys115 disulfide bridge formation within cystatin appears to significantly enhance the amyloidogenic properties of this protein. In addition, by combining in silico studies with our previous experimental results on Eps1, a molecular chaperone of the PDI family, we proposed that age-related HCCAA, may possess a different pathogenic mechanism compared with its amyloidogenic counterpart, the early-onset amyloidogenic cystatin related CAA.
    No preview · Article · Dec 2015 · Journal of biomolecular Structure & Dynamics
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    ABSTRACT: In order to explore the structure-activity correlation of a series of β-aminoketone analogs as inhibitors of thyroid hormone receptor (TR), a set of three-dimensional quantitative structure-activity relationship (3D-QSAR) models based on comparative molecular field analysis (CoMFA) and comparative molecular similarity analysis (CoMSIA), for the first time, were developed in the present work. The best CoMFA model with steric and electrostatic fields exhibited R(2)cv 0.604, R(2)pred 0.5580 for TRβ, and R(2)cv 0.526, R(2)pred 0.6983 for TRα. 3D contour maps produced from the optimal models were further analyzed individually, which provide the areas in space where interactive fields would affect the inhibitory activity. In addition, the binding modes of inhibitors at the active site of TRs were examined using molecular docking, the results indicated that this series of inhibitors fit into the active site of TRs by forming hydrogen bonding and electrostatic interactions. The docking studies also revealed that Leu305, Val458 for TRβ and Asp407 for TRα are showing hydrogen bonds with the most active inhibitors. In any case, the 3D-QSAR models combined with the binding information will serve as a useful approach to explore the chemical space for improving the activity of TRβ and TRα inhibitors.
    No preview · Article · Nov 2015 · Journal of biomolecular Structure & Dynamics