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Paper Details

QSAR MODELING FOR INHIBITORY ACTIVITY OF NON-PEPTIDE HIV-1 PROTEASE INHIBITORS: A MLR APPROACH

Mithlesh Kumar Dwivedi, Purushottam Das Soni, Shailaja Sachan*, Santosh Tiwari

Journal Title:World Journal of Pharmaceutical Research
Abstract


The multiple linear regression (MLR) methods were used to develop quantitative structure activity relationships (QSAR) models for inhibitory activity of non-peptide HIV-1 protease inhibitors. The results revealed the significant roles of topological, g eometrical and substituent electronic descriptor parameters on the inhibitory activity of non-peptide HIV-I protease inhibitors of the studied molecules. The most significant quantitative structure activity relationship model, obtained by MLR could explain and predict 80% of variance in the pIC50 data, respectively.

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