QSAR modeling of anti-HIV activity for DAPY-like derivatives using the mixture of ligand-receptor binding information and functional group features as a new class of descriptors. - Mozhgan Beglari; Nasser Goudarzi; Davood Shahsavani; Mansour Arab Chamjangali; Rahele Dousti (Netw. Model. Anal. Health Informatics Bioinform., 2020)

LM-ANN-based QSAR model for the prediction of pEC50 for a set of potent NNRTI using the mixture of ligand-receptor interaction information and drug-like indexes. - Mozhgan Beglari; Nasser Goudarzi; Davood Shahsavani; Mansour Arab Chamjangali; Zeinab Mozafari (Netw. Model. Anal. Health Informatics Bioinform., 2020)