title: QSAR modelling of HIV-1 reverse transcriptase inhibition by benzoxazinones using a combination of P_VSA and pharmacophore feature descriptors.
abstract: In pursuit of better anti-HIV drugs, a quantitative structure-activity relationship analysis using a novel set of 2D descriptors was performed on a series of HIV-1 reverse transcriptase inhibitory benzoxazinones. The QSAR models derived from the above mentioned descriptors were found to be statistically significant and exhibited superior predictive power. The results of the study justify the application of the descriptors for exploring the binding mode of the benzoxazinones to the enzyme.
authors.affiliation: Department of Pharmacy, S.G.S.I.T.S., Indore 452003, Madhya Pradesh, India.
authors.forename: S
authors.initials: S
authors.lastname: Balaji
authors.forename: C
authors.initials: C
authors.lastname: Karthikeyan
authors.forename: N S Hari Narayana
authors.initials: NS
authors.lastname: Moorthy
authors.forename: Piyush
authors.initials: P
authors.lastname: Trivedi
mesh_terms: D020650:Combinatorial Chemistry Techniques; D015195:Drug Design; D004353:Drug Evaluation, Preclinical / Q000379:methods; D054303:HIV Reverse Transcriptase / Q000037:antagonists & inhibitors*; D015394:Molecular Structure; D010078:Oxazines / Q000737:chemistry / Q000494:pharmacology*; D021281:Quantitative Structure-Activity Relationship
chemical_list: D010078:Oxazines; D054303:HIV Reverse Transcriptase