Abstract
In pursuit of better anti-HIV drugs, quantitative structure-activity relationship (QSAR) studies were performed on a series of aryl sulfonamide HIV protease inhibitors using Win CAChe 6.1. Multiple linear regression analysis was performed to derive QSAR models, which were further evaluated for statistical significance and predictive power by internal and external validation. The QSAR model indicates that the thermodynamic descriptors (heat of formation, log P, and molar refractivity) and steric descriptor (solvent assessable surface area) play an important role for the anti-HIV activity. The results of the present study may be useful on the designing of more potent anti-HIV agents.
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