Protein Modeling and Sequence Analysis Studies on Human Lung Cancer Potential Protein Target (Crp C-Reactive Protein, Pentraxin-Related) using Bioinformatics Protocols

International Journal of Novel Trends in Pharmaceutical Sciences,2012,2,4,166-173.
Published:October 2012
Type:Research Article
Authors:
Author(s) affiliations:

Vasiya Thanveer1, and Balaji. M2

1Department of Biotechnology, DKM college for Women, Vellore, Tamil Nadu, India.

2Director, Akshaya Neuroinformatics Research Center Pvt ltd., Chennai, Tamil Nadu, India.

Abstract:

Lung cancer is the second most commonly occurring form of cancer in most Western countries, and it is the leading cancer-related cause of death. In contrast to the mortality rate in men, which began declining more than 20 years ago, women's lung cancer mortality rates have been rising over the last decades, and are just recently beginning to stabilize. The evolution of "Big Tobacco" plays a significant role in the smoking culture. In this research study we found out the potential mutation gene involved in Human Lung cancer disease and to perform protein sequence analysis, protein modelling and ligand binding sites prediction using Bioinformatics tools. There are three steps involved in our present research investigation. The protein primary structure analysis, protein three dimensional structure prediction and drug binding sites identification. The identified drug binding sites of the (CRP C- REACTIVEPROTEIN, PENTRAXIN-RELATED) protein are the best potential inhibitors for drug docking studies. The identification of drug (ligand) binding sites is an important step in insilico structure based drug designing and `in the field of cheminformatics. The targets discovered by us would certainly prove to be useful in treating Lung cancer disease in Human beings.

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Dimensional structure of (CRP C- REACTIVEPROTEIN, PENTRAXIN-RELATED) protein MOLSOFT software