Associate Professor of Computer Science, Department of Biological and Environmental Studies
University of Sannio
QSAR has established itself as an important means of virtual screening. Computational analysis of numerous drug molecules aided the facility to meaningfully screen specific ones for further use and experimentation. In this study, three-dimensional quantitative structure-activity relationship (3D-QSAR) associated simulations were done and stochastic models were developed considering 55 molecules of hydroxyflavanone, thaizolidene2, 4-dione, pyridone derivatives against proviral insertion site of moloney murine leukemia virus. As part of the study, molecular field analysis (MFA) was done along with receptor surface analysis (RSA).