HOMOLOGY MODELING AND DOCKING STUDIES ON HIV REVERSE TRANSRIPTASE INHIBITORS

The usefulness of computational methods in drug design process is no longer a point of debate. The contributions from this evolving field have become apparent to both pharmaceutical scientists and academic biomedical researchers. As all the computational drug design are based on statistical and mathematical calculations there is strong evidences present for each and every step, thus research by chance is no longer exist. From statistical analysis of large data set, up to quantitative prediction, one can get simply by seating in front of graphical terminal and using this technique. Success stories from these endeavors are appearing in the literature at an impressive rate. Since the search for new antiviral drugs with reduced toxicity and lower side-effect is continues. Antiviral of class HIV reverse transcriptase are found to have wide range of activities but still this drugs are not very effective in curing HIV infected persons. So this drugs study is carried out and will show more biological and therapeutic activity by performing work of homology modeling and docking study of HIV reverse transcriptase as this work study has not been done earlier by following literature review This is an attempted with docking studies that would be helpful in guiding further development of more active and selective HIV reverse transcriptase inhibitors with more affinity towards receptor with less binding energy.