Literature DB >> 28959320

Variability of the Cyclin-Dependent Kinase 2 Flexibility Without Significant Change in the Initial Conformation of the Protein or Its Environment; a Computational Study.

Mohammad Taghizadeh1, Bahram Goliaei1, Armin Madadkar-Sobhani2.   

Abstract

BACKGROUND: Protein flexibility, which has been referred as a dynamic behavior has various roles in proteins' functions. Furthermore, for some developed tools in bioinformatics, such as protein-protein docking software, considering the protein flexibility, causes a higher degree of accuracy. Through undertaking the present work, we have accomplished the quantification plus analysis of the variations in the human Cyclin Dependent Kinase 2 (hCDK2) protein flexibility without affecting a significant change in its initial environment or the protein per se.
OBJECTIVES: The main goal of the present research was to calculate variations in the flexibility for each residue of the hCDK2, analysis of their flexibility variations through clustering, and to investigate the functional aspects of the residues with high flexibility variations.
MATERIALS AND METHODS: Using Gromacs package (version 4.5.4), three independent molecular dynamics (MD) simulations of the hCDK2 protein (PDB ID: 1HCL) was accomplished with no significant changes in their initial environments, structures, or conformations, followed by Root Mean Square Fluctuations (RMSF) calculation of these MD trajectories. The amount of variations in these three curves of RMSF was calculated using two formulas.
RESULTS: More than 50% of the variation in the flexibility (the distance between the maximum and the minimum amount of the RMSF) was found at the region of Val-154. As well, there are other major flexibility fluctuations in other residues. These residues were mostly positioned in the vicinity of the functional residues. The subsequent works were done, as followed by clustering all hCDK2 residues into four groups considering the amount of their variability with respect to flexibility and their position in the RMSF curves.
CONCLUSIONS: This work has introduced a new class of flexibility aspect of the proteins' residues. It could also help designing and engineering proteins, with introducing a new dynamic aspect of hCDK2, and accordingly, for the other similar globular proteins. In addition, it could provide a better computational calculation of the protein flexibility, which is, especially important in the comparative studies of the proteins' flexibility.

Entities:  

Keywords:  Flexibility fluctuation; Human CDK2 (hCDK2) protein; Molecular Dynamics-Root Mean Square Fluctuation (MD-RMSF); Molecular dynamics simulation; Protein flexibility; RMSF Standard Deviation (RMSF-SD)

Year:  2016        PMID: 28959320      PMCID: PMC5435026          DOI: 10.15171/ijb.1419

Source DB:  PubMed          Journal:  Iran J Biotechnol        ISSN: 1728-3043            Impact factor:   1.671


  50 in total

1.  The Protein Data Bank.

Authors:  H M Berman; J Westbrook; Z Feng; G Gilliland; T N Bhat; H Weissig; I N Shindyalov; P E Bourne
Journal:  Nucleic Acids Res       Date:  2000-01-01       Impact factor: 16.971

2.  Do monovalent mobile ions affect DNA's flexibility at high salt content?

Authors:  Alexey Savelyev
Journal:  Phys Chem Chem Phys       Date:  2012-01-13       Impact factor: 3.676

Review 3.  Studying functional dynamics in bio-molecules using accelerated molecular dynamics.

Authors:  Phineus R L Markwick; J Andrew McCammon
Journal:  Phys Chem Chem Phys       Date:  2011-10-21       Impact factor: 3.676

4.  Further evidence that interfacial water is the main "driving force" of protein dynamics: a neutron scattering study on perdeuterated C-phycocyanin.

Authors:  Sophie Combet; Jean-Marc Zanotti
Journal:  Phys Chem Chem Phys       Date:  2012-03-05       Impact factor: 3.676

5.  Prediction of protein B-factor profiles.

Authors:  Zheng Yuan; Timothy L Bailey; Rohan D Teasdale
Journal:  Proteins       Date:  2005-03-01

6.  Comparison of multiple Amber force fields and development of improved protein backbone parameters.

Authors:  Viktor Hornak; Robert Abel; Asim Okur; Bentley Strockbine; Adrian Roitberg; Carlos Simmerling
Journal:  Proteins       Date:  2006-11-15

7.  Procrustean rotation in concert with principal component analysis of molecular dynamics trajectories: Quantifying global and local differences between conformational samples.

Authors:  Daniel G Oblinsky; Bryan M B Vanschouwen; Heather L Gordon; Stuart M Rothstein
Journal:  J Chem Phys       Date:  2009-12-14       Impact factor: 3.488

8.  Simple, yet powerful methodologies for conformational sampling of proteins.

Authors:  Ryuhei Harada; Yu Takano; Takeshi Baba; Yasuteru Shigeta
Journal:  Phys Chem Chem Phys       Date:  2015-03-07       Impact factor: 3.676

9.  GROMACS 4.5: a high-throughput and highly parallel open source molecular simulation toolkit.

Authors:  Sander Pronk; Szilárd Páll; Roland Schulz; Per Larsson; Pär Bjelkmar; Rossen Apostolov; Michael R Shirts; Jeremy C Smith; Peter M Kasson; David van der Spoel; Berk Hess; Erik Lindahl
Journal:  Bioinformatics       Date:  2013-02-13       Impact factor: 6.937

10.  Salt effects on the conformational stability of the visual G-protein-coupled receptor rhodopsin.

Authors:  Arfaxad Reyes-Alcaraz; Marlet Martínez-Archundia; Eva Ramon; Pere Garriga
Journal:  Biophys J       Date:  2011-12-07       Impact factor: 4.033

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.