In silico modelling and validation of differential expressed proteins in lung cancer

Journal Title: Asian Pacific Journal of Tropical Disease - Year 2012, Vol 2, Issue 0

Abstract

Objective: The present study aims predict the three dimensional structure of three major proteins responsible for causing Lung cancer. Methods: These are the differentially expressed proteins in lung cancer dataset. Initially, the structural template for these proteins is identified from structural database using homology search and perform homology modelling approach to predict its native 3D structure. Three-dimensional model obtained was validated using Ramachandran plot analysis to find the reliability of the model. Results: Four proteins were differentially expressed and were significant proteins in causing lung cancer. Among the four proteins, Matrixmetallo proteinase (P39900) had a known 3D structure and hence was not considered for modelling. The remaining proteins Polo like kinase I Q58A51, Trophinin B1AKF1, Thrombomodulin P07204 were modelled and validated. Conclusions: The three dimensional structure of proteins provides insights about the functional aspect and regulatory aspect of the protein. Thus, this study will be a breakthrough for further lung cancer related studies.

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  • EP ID EP233742
  • DOI 10.1016/S2222-1808(12)60214-X
  • Views 83
  • Downloads 0

How To Cite

(2012). In silico modelling and validation of differential expressed proteins in lung cancer. Asian Pacific Journal of Tropical Disease, 2(0), 524-529. https://europub.co.uk/articles/-A-233742