Journal of Computational Intelligence in Bioinformatics
  • Year: 2009
  • Volume: 2
  • Issue: 3

Structure Identification of Gp41 [HIV-1] Protein and Computational Analysis of its Binding Sites

  • Author:
  • Ashish Patel2, Uday Bhan Sharma1, Sheetal Khatri2, Vinod Rishi3, Shailendra Kr. Gupta4, M.K. Verma2
  • Total Page Count: 9
  • Page Number: 121 to 129

1Kanpur institute of Technology, UPSIDC, Rooma, Kanpur (U.P.) 208004, India.

2Sub-DIC Bioinformatics Centre, NIT Raipur, Raipur (CG) 492010, India.

3Brahmanand College, Kanpur (U.P.), India.

4Indian Institute of Toxicology Research, Lucknow (U.P.), India.

Abstract

HIV (Human Immunodeficiency Virus) is a virus that causes AIDS (Acquired Immunodeficiency Syndrome), a health condition in which a person is affected by a series of diseases because of poor immunity. HIV by itself is not an illness and does not instantly lead to AIDS. Gp41 (HIV-1) protein is a glycoprotein which make the envelope of HIV-1 virus. It is very important in the infection of virus in to human body cells. So the Structure Prediction of Gp41 (HIV-1) protein can be used in the analysis of HIV virus infection in Human. Modeler is used for structure prediction of Gp41 [HIV-1 protein]. Predicted & validated structure can be used in the analysis of drug against AIDS disease, because by the analysis of structure we analyze conserve regions of Gp41 (HIV-1) Protein. These conserve regions sometimes defines as Binding Sites where appropriate ligands bind and inhibits the functions of Gp41 [HIV-1] protein. CASTp can be used to study surface features and functional regions of proteins. CASTp is used to analyze the binding pockets of Gp41 [HIV-1] protein.

Keywords

Acquired Immunodeficiency Syndrome (AIDS), Domain, Infection, Glycoprotein, Binding pockets