Additivity in the Analysis and Design of HIV Protease Inhibitors

We explore the applicability of an additive treatment of substituent effects to the analysis and design of HIV protease inhibitors. Affinity data for a set of inhibitors with a common chemical framework were analyzed to provide estimates of the free energy contribution of each chemical substituent....

Full description

Bibliographic Details
Main Authors: Jorissen, Robert N. (Author), Kumar Reddy, G. S. Kiran (Author), Ali, Akbar (Author), Altman, Michael D. (Contributor), Chellappan, Sripriya (Author), Anjum, Saima G. (Author), Tidor, Bruce (Contributor), Schiffer, Celia A. (Author), Rana, Tariq M. (Author), Gilson, Michael K. (Author)
Other Authors: Massachusetts Institute of Technology. Department of Biological Engineering (Contributor), Massachusetts Institute of Technology. Department of Chemistry (Contributor), Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor)
Format: Article
Language:English
Published: American Chemical Society (ACS), 2012-10-02T15:07:59Z.
Subjects:
Online Access:Get fulltext
Description
Summary:We explore the applicability of an additive treatment of substituent effects to the analysis and design of HIV protease inhibitors. Affinity data for a set of inhibitors with a common chemical framework were analyzed to provide estimates of the free energy contribution of each chemical substituent. These estimates were then used to design new inhibitors whose high affinities were confirmed by synthesis and experimental testing. Derivations of additive models by least-squares and ridge-regression methods were found to yield statistically similar results. The additivity approach was also compared with standard molecular descriptor-based QSAR; the latter was not found to provide superior predictions. Crystallographic studies of HIV protease−inhibitor complexes help explain the perhaps surprisingly high degree of substituent additivity in this system, and allow some of the additivity coefficients to be rationalized on a structural basis.