Journal of Proteomics & Bioinformatics
Open Access
ISSN: 0974-276X
+44 1223 790975
ISSN: 0974-276X
+44 1223 790975
Shah Faisal Mohammad
State Key Laboratory of Microbial Metabolism, School of Life Sciences and Biotechnology,
Shanghai
China
Research Article
Normal Mode Analysis of Thermophilic Cellulase FnCel5A Using Elastic Network Models
Author(s): Shah Faisal Mohammad, Fawad Ali, Mueed Ur Rahman and Asim MuhammadShah Faisal Mohammad, Fawad Ali, Mueed Ur Rahman and Asim Muhammad
Normal mode analysis (NMA) based on elastic network models is an efficient, cost-effective and powerful, computational approach for characterizing protein flexibility and the resulting dynamics. In this study, we have analyzed a single protein structure, a hyperthermophylic enzyme (FnCel5A) with a given PDB ID: 3rjy, in order to calculate deformation energies, Eigenvalues, atomic fluctuations and displacements, and overlap and correlation matrices that display correlations among all of the C-alpha-atom motions in the FnCel5A structure. The WEBnm@ server was used to provide a quick automated computational low-frequency normal protein structure mode analysis. Single mode analysis using NMA has been applied on the web server, which can provide recently improved functionality for the single protein structures. This includes new visualization of protein motions, inter-amino acids correlati.. View More»
DOI:
10.4172/jpb.1000475