Open AccessIn silico modelling and validation of differential expressed proteins in lung cancer
Author(s) -
Sharathkumar Bhagavathi,
Gulshan Wadhwa,
Anil Prakash
Publication year - 2012
Publication title -
asian pacific journal of tropical disease
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.208
H-Index - 33
ISSN - 2222-1808
DOI - 10.1016/s2222-1808(12)60214-x
Subject(s) - ramachandran plot , in silico , computational biology , lung cancer , homology modeling , homology (biology) , biology , protein structure , bioinformatics , biochemistry , amino acid , medicine , pathology , gene , enzyme
Objective: The present study aims predict the three dimensional structure of three major\udproteins responsible for causing Lung cancer. Methods: These are the differentially expressed\udproteins in lung cancer dataset. Initially, the structural template for these proteins is identified\udfrom structural database using homology search and perform homology modelling approach\udto predict its native 3D structure. Three-dimensional model obtained was validated using\udRamachandran plot analysis to find the reliability of the model. Results: Four proteins were\uddifferentially expressed and were significant proteins in causing lung cancer. Among the\udfour proteins, Matrixmetallo proteinase (P39900) had a known 3D structure and hence was not\udconsidered for modelling. The remaining proteins Polo like kinase I Q58A51, Trophinin B1AKF1,\udThrombomodulin P07204 were modelled and validated. Conclusions: The three dimensional\udstructure of proteins provides insights about the functional aspect and regulatory aspect of the\udprotein. Thus, this study will be a breakthrough for further lung cancer related studies