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

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: 2.98

Impact Factor Rankings

2015 Impact Factor Available summer 2015
2013/2014 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
Year

Additional details

5-year impact 1.15
Cited half-life 0.00
Immediacy index 0.25
Eigenfactor 0.00
Article influence 0.32
Website Journal of Biomolecular Structure & Dynamics website
Other titles Journal of biomolecular structure & dynamics, Journal of biomolecular structure and dynamics
ISSN 0739-1102
OCLC 9688706
Material type Periodical, Internet resource
Document type Journal / Magazine / Newspaper, Internet Resource

Publications in this journal

  • [Show abstract] [Hide abstract]
    ABSTRACT: Raman spectroscopy has been used to study the eigenvectors and eigenvalues of the vibrational modes of crystalline cytidine at 295 K and high pressures by evaluating the logarithmic derivative of the vibrational frequency ω with respect to pressure P: . Crystalline samples of molecular materials have strong intramolecular bonds and weak intermolecular bonds. This hierarchy of bonding strengths causes the vibrational optical modes localized within a molecular unit (“internal” modes) to be relatively high in frequency while the modes in which the molecular units vibrate against each other (“external” modes) have relatively low frequencies. The value of the logarithmic derivative is a useful diagnostic probe of the nature of the eigenvector of the vibrational modes because stretching modes (which are predominantly internal to the molecule) have low logarithmic derivatives while external modes have higher logarithmic derivatives. In crystalline cytidine, the modes at 85.8, 101.4, and 110.6 cm−1 are external in which the molecules of the unit cell vibrate against each other in either translational or librational motions (or some linear combination thereof). All of the modes above 320 cm−1 are predominantly internal stretching modes. The remaining modes below 320 cm−1 include external modes and internal modes, mostly involving either torsional or bending motions of groups of atoms within a molecule.
    Journal of biomolecular Structure & Dynamics 04/2015; 33(4).
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    ABSTRACT: In order to contribute to the structural basis for rational design of calmodulin (CaM) inhibitors, we analyzed the interaction of CaM with 14 classic antagonists and two compounds that do not affect CaM, using docking and molecular dynamics (MD) simulations, and the data were compared to available experimental data. The Ca(2+)-CaM-ligands complexes were simulated 20 ns, with CaM starting in the "open" and "closed" conformations. The analysis of the MD simulations provided insight intro the conformational changes undergone by CaM during its interaction with these ligands. Theses simulations were used to predict the binding free energies (∆G) from their ∆H and ∆S contributions, giving useful information about CaM-ligand binding thermodynamics. The ∆G predicted for the CaM's inhibitors correlated well with available experimental data as the r(2) obtained was 0.76 and 0.82 for the group of xanthones. Additionally, valuable information is presented here: I) CaM has two preferred ligand binding sites in the open conformation known as site 1 and 4, II) CaM can bind ligands of diverse structural nature, III) the flexibility of CaM is reduced by the union of its ligands, leading to a reduction in the Ca(2+)-CaM entropy, IV) enthalpy dominates the molecular recognition process in the system Ca(2+)-CaM-ligand, and V) the ligands making more extensive contact with the protein have higher affinity for Ca(2+)-CaM. Despite their limitations, docking and MD simulations in combination with experimental data, continue to be excellent tools for research in pharmacology, towards a rational design of new drugs.
    Journal of biomolecular Structure & Dynamics 02/2015;
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    ABSTRACT: The combination of several drugs is necessary, especially during long-term therapy. A competitive binding of the drugs can cause a decrease in the amount of drugs actually bound to the protein and increase the biologically active fraction of the drug. Here, the interaction between 4,4'-Diisothiocyano-2,2'-stilbenedisulfonic acid (DIDS) and 2,4-Dinitrophenol (DNP) with Hemoglobin (Hb) was investigated by different spectroscopic and molecular modeling techniques. Fluorescence analysis was used to estimate the effect of the DIDS and DNP on Hb as well as to define the binding properties of binary and ternary complexes. The distance r between donor and acceptor was obtained by the FRET and found to be 2.25 and 2.13 nm for DIDS and DNP in binary and 2.08 and 2.07 nm for (Hb-DNP) DIDS and (Hb-DIDS) DNP complexes in ternary systems, respectively. Time-resolved fluorescence spectroscopy confirmed static quenching for Hb in the presence of DIDS and DNP in both systems. Furthermore, an increase in ellipticity values of Hb upon interaction with DIDS and DNP showed secondary structural changes of protein that determine to disrupt of hydrogen bonds and electrostatic interactions. Our results showed that the Hb destabilize in the presence of DIDS and DNP. Molecular modeling of the possible binding sites of DIDS and DNP in binary and ternary systems in Hb confirmed the experimental results.
    Journal of biomolecular Structure & Dynamics 02/2015;
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    ABSTRACT: Indoleamine 2,3-dioxygenase (IDO) is emerging as an important new therapeutic drug target for the treatment of cancer characterized by pathological immune suppression. IDO catalyzes the rate-limiting step of tryptophan degradation along the kynurenine pathway. Reduction in local tryptophan concentration and the production of immunomodulatory tryptophan metabolites contribute to the immunosuppressive effects of IDO. Presence of IDO on dentritic cells in tumor-draining lymph nodes leading to the activation of T cells toward forming immunosuppressive microenvironment for the survival of tumor cells has confirmed the importance of IDO as a promising novel anticancer immunotherapy drug target. On the other hand, Withaferin A (WA) - active constituent of Withania Somnifera ayurvedic herb has shown to be having a wide range of targeted anticancer properties. In the present study conducted here is an attempt to explore the potential of WA in attenuating IDO for immunotherapeutic tumor arresting activity and to elucidate the underlying mode of action in a computational approach. Our docking and molecular dynamic simulation results predict high binding affinity of the ligand to the receptor with up to -11.51 kcal/mol of energy and 3.63 nM of IC50 value. Further, de novo molecular dynamic simulations predicted stable ligand interactions with critically important residues SER167; ARG231; LYS377, and heme moiety involved in IDO's activity. Conclusively, our results strongly suggest WA as a valuable small ligand molecule with strong binding affinity toward IDO.
    Journal of biomolecular Structure & Dynamics 02/2015;
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    ABSTRACT: Sterol 24-C methyltransferase (SMT) plays a major role during the production of steroids, especially in the biosynthesis of ergosterol, which is the major membrane sterol in leishmania parasite, and the etiological basis of leishmaniasis. Mechanism-based inactivators bind irreversibly to SMT and interfere with its activity to provide leads for the design of antileishmanial inhibitors. In this study, computational methods are used for studying enzyme-inhibitor interactions. fifty-seven mechanism-based inactivators are docked using 3 docking/scoring approaches (FRED, GoldScore, and ChemScore). A consensus is generated from the results of different scoring functions which are also validated with already reported experimental values. The most active compound thus obtained is subjected to molecular dynamics simulation of length 20 ns. Stability of simulation is analyzed through root-mean-square deviation, beta factor (B-factor), and radius of gyration (Rg). Hydrogen bonds and their involvement in the structural stability of the enzyme are evaluated through radial distribution function. Newly developed application of axial frequency distribution that determines three-particle correlation on frequency distributions before and after simulation has provided a clear evidence for the movement of the inhibitor into active pocket of the enzyme. Results yielded strong interaction between enzyme and the inhibitor throughout the simulation. Binding of the inhibitor with enzyme has stabilized the enzyme structure; thus, the inhibitor has the potential to become a lead compound.
    Journal of biomolecular Structure & Dynamics 02/2015;
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    ABSTRACT: The PR20 HIV-1 protease, a variant with 20 mutations, exhibits high levels of multi-drug resistance, however, to date, there has been no report detailing the impact of these 20 mutations on the conformational and drug binding landscape at a molecular level. In this report, we demonstrate the first account of a comprehensive study designed to elaborate on the impact of these mutations on the dynamic features as well as drug binding and resistance profile, using extensive molecular dynamics analyses. Comparative MD simulations for the wild type and PR20 HIV proteases, starting from bound and unbound conformations in each case were performed. Results showed that the apo conformation of the PR20 variant of the HIV protease displayed a tendency to remain in the open conformation for a longer period of time when compared to the wild type. This led to a phenomena in which the inhibitor seated at the active site of PR20, tends to diffuse away from the binding site leading to a significant change in inhibitor-protein association. Calculating the per-residue fluctuation (RMSF) and radius of gyration further validated these findings. MM/GBSA showed that the occurrence of 20 mutations led to a drop in the calculated binding free energies (ΔGbind) by ~25.17 kcal/mol and ~5 kcal/mol for p2-NC, a natural peptide substrate, and darunavir, respectively, when compared to wild type. Furthermore, the residue interaction network showed a diminished inter-residue hydrogen bond network and changes in inter-residue connections as a result of these mutations. The increased conformational flexibility in PR20 as a result of loss of intra and inter molecular hydrogen bond interactions and other prominent binding forces led to a loss of protease grip on ligand. It is interesting to note that the difference in conformational flexibility between PR20 and WT conformations were much higher in case of substrate bound conformation as compared to DRV which is also evident from the MM/GBSA profile. Thus developing analogs of DRV by retaining its key pharmacophore features will be the way forward in the search for novel protease inhibitors against multidrug resistant strains.
    Journal of biomolecular Structure & Dynamics 02/2015;
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    ABSTRACT: Modularity is known as one of the most important features of protein's robust and efficient design. The architecture and topology of proteins play a vital role by providing necessary robust scaffolds to support organism's growth and survival in constant evolutionary pressure. These complex biomolecules can be represented by several layers of modular architecture, but it is pivotal to understand and explore the smallest biologically relevant structural component. In the present study, we have developed a component-based method, using protein's secondary structures and their arrangements (i.e. patterns) in order to investigate its structural space. Our result on all-alpha protein shows that the known structural space is highly populated with limited set of structural patterns. We have also noticed that these frequently observed structural patterns are present as modules or "building blocks" in large proteins (i.e. higher secondary structure content). From structural descriptor analysis, observed patterns are found to be within similar deviation; however, frequent patterns are found to be distinctly occurring in diverse functions e.g. in enzymatic classes and reactions. In this study, we are introducing a simple approach to explore protein structural space using combinatorial- and graph-based geometry methods, which can be used to describe modularity in protein structures. Moreover, analysis indicates that protein function seems to be the driving force that shapes the known structure space.
    Journal of biomolecular Structure & Dynamics 02/2015;
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    ABSTRACT: Abstract A micro RNA (abbreviated miRNA) is a small non-coding RNA molecule, functioning in transcriptional and post-transcriptional regulation of gene expression. The human genome may encode over 1000 miRNAs. Albeit poorly characterized, miRNAs are widely deemed as important regulators of biological processes. Aberrant expression of miRNAs has been observed in many cancers and other disease states, indicating they are deeply implicated with these diseases, particularly in carcinogenesis. Therefore, it is important for both basic research and miRNA-based therapy to discriminate the real pre-miRNAs from the false ones (such as hairpin sequences with similar stem-loops). Particularly, with the avalanche of RNA sequences generated in the postgenomic age, it is highly desired to develop computational sequence-based methods for effectively identifying the human pre-microRNAs. Here we propose a predictor called "iMiRNA-PseDPC", in which the RNA sequences are formulated by a novel feature vector called "pseudo distance-pair composition" (PseDPC) with 10 types of structure statuses. Rigorous cross-validations on a much larger and more stringent newly constructed benchmark dataset showed that our approach has remarkably outperformed the existing ones in either prediction accuracy or efficiency, indicating the new predictor is quite promising or at least may become a complementary tool to the existing predictors in this area. For the convenience of most experimental scientists, a user-friendly web-server for the new predictor has been established at http://bioinformatics.hitsz.edu.cn/iMiRNA-PseDPC/, by which users can easily get their desired results without the need to go through the mathematical details. It is anticipated that the new predictor may become a useful high throughput tool for genome analysis particularly in dealing with large-scale data.
    Journal of biomolecular Structure & Dynamics 02/2015;
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    ABSTRACT: The effects of salt on the stability of globular proteins have been known for a long time. In the present investigations, we shall focus on the effect of the salt ions upon the structure and the activity of the endonuclease I enzyme. In the present work, we shall focus on the relationship between ion position and the structural features of the Vibrio salmonicida (VsEndA) enzyme. We will concentrate on major questions such as: how can salt ions affect the molecular structure? What is the activity of the enzyme and which specific regions are directly involved? For that purpose, we will study the behaviour of the VsEndA over different salt concentrations using molecular dynamics (MD) simulations. We report the results of MD simulations of the endonuclease I enzyme at five different salt concentrations. Analysis of trajectories in terms of the root mean square fluctuation (RMSF), radial distribution function, contact numbers and hydrogen bonding lifetimes, indicate distinct differences when changing the concentration of NaCl. Results are found to be in good agreement with experimental data, where we have noted an optimum salt concentration for activity equal to 425 mM. Under this salt concentration, the VsEndA exhibits two more flexible loop regions, compared to the other salt concentrations. When analysing the RMSF of these two specific regions, three residues were selected for their higher mobility. We find a correlation between the structural properties studied here such as the radial distribution function, the contact numbers and the hydrogen bonding lifetimes, and the structural flexibility of only two polar residues. Finally, in the light of the present work, the molecular basis of the salt adaptation of VsEndA enzyme has been explored by mean of explicit solvent and salt treatment. Our results reveal that modulation of the sodium/chloride ions interaction with some specific loop regions of the protein is the strategy followed by this type of psychrophilic enzyme to enhance catalytic activity at the physiological conditions.
    Journal of biomolecular Structure & Dynamics 02/2015;
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    ABSTRACT: Abstract Camels bear unique genotypes and phenotypes for adaptation of their harsh environment. They have unique visual systems, sniffing, water metabolism, heat control mechanisms that are different from other creatures. The recent announcement for the complete sequence of camel genome will allow for discovery of many secrets of camel life. In this context, the genetic bases of camel drug metabolizing enzymes are still unknown. Furthermore, the genomic content of camel that rendered it highly susceptible to some drug (as monensin and salinomycin) and became easily intoxicated needs to be investigated. The objectives of this work are annotation of camel genome and retrieval of camel for cytochrome P450 1A1, 2C and 3A enzymes. This is followed by comprehensive phyolgentic, evolution, molecular modeling and docking studies. In comparison with the human enzymes, camel CYPs showed lower evolution rate especially CYP1A1. Furthermore, the binding of monensin, salinomycin, alfanaphthoflavone, felodepine and ritonavir was weaker in camel enzymes. Interestingly, rerank score indicated instable binding of monensin and salinomycin with camel CYP1A1 as well as salinomycin with camel CYP2C. The results of this work suggest that camels are more susceptible to toxicity with compounds undergoing metabolic oxidation. This conclusion was based on lower evolution rate and lower binding potency of camel s compared with the human enzymes.
    Journal of biomolecular Structure & Dynamics 02/2015;
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    ABSTRACT: Benzo[a]pyrene-7,8-dione (BPQ) is formed by the activation of benzo[a]pyrene(B[a]P), which is an environmental toxic substance that is easily exposed in daily life, due to P450/epoxide hydrolase, and is a substance that induces DNA deformation by forming adducts with DNA. In this study, to investigate the form of bonding between BPQ and DNA, the structures of adducts between BPQ and 2'-deoxycytidine were examined. To examine BPQ-dC adduct conformation, geometry optimization of a total of 16 structural isomers was performed using the density functional theory method. In the structures of BPQ-dC adducts, for the cis-form, the angle between BPQ and dC is nearly perpendicular; but for the trans-form, the bending angle is small. The trans-form had a larger energy gap between ground state and excited state than the cis-form, and had a smaller HOMO-LUMO gap than the cis-form. Therefore, it was found that the trans-form absorbs stronger light and has higher reactivity than the cis-form. Molecular electrostatic potential was calculated and analyzed. The calculated ESP contour map shows the electrophilic and nucleophilic regions of the molecule.
    Journal of biomolecular Structure & Dynamics 01/2015;
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    ABSTRACT: In this work, docking tools were utilized in order to study the binding properties of more than five hundred of proline-based 2,5-diketopiperazine in the binding site of αβ-tubulin. Results revealed that 20 compounds among them showed lower binding energies in comparison with Tryprostatin-A, a well known tubulin inhibitor and therefore could be potential inhibitors of tubulin. However, the precise evaluation of binding poses represents the similar binding modes for all of these compounds and Tryprostatin-A. Finally, the best docked complex was subjected to a 25 ns molecular dynamics simulation to further validate the proposed binding mode of this compound.
    Journal of biomolecular Structure & Dynamics 01/2015;
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    ABSTRACT: Human CC-chemokine receptor 8 (CCR8) is a crucial drug target in asthma that belongs to G-protein-coupled receptor superfamily, which is characterized by seven transmembrane helices. To date, there is no X-ray crystal structure available for CCR8; this hampers active research on the target. Molecular basis of interaction mechanism of antagonist with CCR8 remains unclear. In order to provide binding site information and stable binding mode, we performed modeling, docking and molecular dynamics (MD) simulation of CCR8. Docking study of biaryl-ether-piperidine derivative (13C) was performed inside predefined CCR8 binding site to get the representative conformation of 13C. Further, MD simulations of receptor and complex (13C-CCR8) inside dipalmitoylphosphatidylcholine lipid bilayers were performed to explore the effect of lipids. Results analyses showed that the Gln91, Tyr94, Cys106, Val109, Tyr113, Cys183, Tyr184, Ser185, Lys195, Thr198, Asn199, Met202, Phe254, and Glu286 were conserved in both docking and MD simulations. This indicated possible role of these residues in CCR8 antagonism. However, experimental mutational studies on these identified residues could be effective to confirm their importance in CCR8 antagonism. Furthermore, calculated Coulombic interactions represented the crucial roles of Glu286, Lys195, and Tyr113 in CCR8 antagonism. Important residues identified in this study overlap with the previous non-peptide agonist (LMD-009) binding site. Though, the non-peptide agonist and currently studied inhibitor (13C) share common substructure, but they differ in their effects on CCR8. So, to get more insight into their agonist and antagonist effects, further side-by-side experimental studies on both agonist (LMD-009) and antagonist (13C) are suggested.
    Journal of biomolecular Structure & Dynamics 01/2015;
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    ABSTRACT: The most studied function of BRCA1 is that of tumor suppression through its role in DNA repair and transcription regulation. Germline mutations discovered in a larger cohort of patients, abrogate BRCA1 interactions with reported cellular partners, and are responsible for breast and ovarian cancer. The different functional regions of BRCA1 interact with nearly 30 different cellular partners. Thus, it becomes clinically significant to understand the detailed protein-protein interactions associated with functional regions of BRCA1. Different overlapping central domains of BRCA1 have been characterized using in silico, in vitro and biophysical approaches. To our conclusions, it has been observed that central domains of BRCA1 are intrinsically disordered and has large hydrodynamic radius with random coil like structures.
    Journal of biomolecular Structure & Dynamics 01/2015;
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    ABSTRACT: Lysine acetylation and ubiquitination are two primary post-translational modifications (PTMs) in most eukaryotic proteins. Lysine residues are targets for both types of PTMs, resulting in different cellular roles. With the increasing availability of protein sequences and PTM data, it is challenging to distinguish the two types of PTMs on lysine residues. Experimental approaches are often laborious and time consuming. There is an urgent need for computational tools to distinguish between lysine acetylation and ubiquitination. In this study, we developed a novel method, called DAUFSA (distinguish between lysine acetylation and lysine ubiquitination with feature selection and analysis), to discriminate ubiquitinated and acetylated lysine residues. The method incorporated several types of features: PSSM (position-specific scoring matrix) conservation scores, amino acid factors, secondary structures, solvent accessibilities, and disorder scores. By using the mRMR (maximum relevance minimum redundancy) method and the IFS (incremental feature selection) method, an optimal feature set containing 290 features was selected from all incorporated features. A dagging-based classifier constructed by the optimal features achieved a classification accuracy of 69.53%, with an MCC of .3853. An optimal feature set analysis showed that the PSSM conservation score features and the amino acid factor features were the most important attributes, suggesting differences between acetylation and ubiquitination. Our study results also supported previous findings that different motifs were employed by acetylation and ubiquitination. The feature differences between the two modifications revealed in this study are worthy of experimental validation and further investigation.
    Journal of biomolecular Structure & Dynamics 01/2015;
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    ABSTRACT: The structural change of M. tuberculosis MPT63, which is predominantly a β-sheet protein having an immunoglobulin like fold, has been investigated in the pH range 7.5-1.5 using various biophysical techniques along with low-temperature phosphorescence (LTP) spectroscopy. MPT63 contains four Tryptophan (Trp) residues at 26, 48, 82, and 129. Although circular dichroism, steady-state and time-resolved fluorescence, time-resolved anisotropy, 1-aniline-8-naphthalene sulfonic (ANS) acid binding, and analytical ultracentrifuge depict more open largely unfolded structure of MPT63 at pH 1.5 and also more accessible nature of Trp residues to neutral quencher at pH 1.5, it is, however, not possible to assign the specific Trp residue/residues being perturbed. This problem has been resolved using LTP of MPT63, which shows optically resolved four distinct (0, 0) bands corresponding to four Trp residues in the pH range 7.5-3.0. LTP at pH 1.5 clearly reveals that the solvent-exposed Trp 82 and the almost buried Trp 129 are specifically affected compared with Trp 48 and Trp 26. Lys 8 and Lys 27 are predicted to affect Trp 129. Tyrosine residues are found to be silent even at pH 1.5. This type of specific perturbation in a multi-Trp protein has not been addressed before. LTP further indicates that partially exposed Trp 48 is preferentially quenched by acrylamide compared with other Trp residues at both pH 7.5 and 1.5. The solvent-exposed Trp 82 is surprisingly found to be not quenched by acrylamide at pH 7.5. All the results are obtained using micromolar concentration of protein and without using any Trp-substituted mutant.
    Journal of biomolecular Structure & Dynamics 01/2015;
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    ABSTRACT: We examined 25 breast tumor samples for somatic mutations in exon 20 and exon 9 of PIK3CA gene in South Indian population. Genomic DNA was isolated and amplified for PIK3CA gene, followed by direct sequencing of purified polymerase chain reaction products. We identified PI3K3CA mutations in 5 of 25 (20%), including four of the mutations in p.H1047R and one in p.H1047L. Nucleotide base substitution A to G (c.3140A > G) and A to T (c.3140A > T) results in p.H1047R and p.H1047L mutation in exon 20 of PIK3CA gene. We did not observe any mutation in exon 9 of PIK3CA gene. Furthermore, we investigated the effect of mutations on protein structure and function by the combination of sequence and structure-based in silico prediction methods. This determined the underlying relationship between the mutation and its phenotypic effects. Next step, we complemented by molecular dynamics simulation analysis (30 ns) of native and mutant structures that measured the effect of mutation on protein structure. The obtained results support that the application of computational methods helps predict the biological significance of mutations.
    Journal of biomolecular Structure & Dynamics 01/2015;