Advanced Modeling Reconciles Counterintuitive Decisions in Lead Optimization

Advanced Modeling Reconciles Counterintuitive Decisions in Lead Optimization Lead optimization (LO) is essential to fulfill the efficacy and safety requirements of drug-based targeted therapy. The ease with which water may be locally removed from around the target protein crucially influences LO decisions. However, inferred binding sites often defy intuition and the resulting LO decisions are often counterintuitive, with nonpolar groups in the drug placed next to polar groups in the target. We first introduce biophysical advances to reconcile these apparent mismatches. We incorporate three-body energy terms that account for the net stabilization of preformed target structures upon removal of interfacial water concurrent with drug binding. These unexplored drug-induced environmental changes enhancing the target electrostatics are validated against drug–target affinity data, yielding superior computational accuracy required to improve drug design. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Trends in Biotechnology Elsevier

Advanced Modeling Reconciles Counterintuitive Decisions in Lead Optimization

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Publisher
Elsevier Current Trends
Copyright
Copyright © 2016 Elsevier Ltd
ISSN
0167-7799
D.O.I.
10.1016/j.tibtech.2016.12.003
Publisher site
See Article on Publisher Site

Abstract

Lead optimization (LO) is essential to fulfill the efficacy and safety requirements of drug-based targeted therapy. The ease with which water may be locally removed from around the target protein crucially influences LO decisions. However, inferred binding sites often defy intuition and the resulting LO decisions are often counterintuitive, with nonpolar groups in the drug placed next to polar groups in the target. We first introduce biophysical advances to reconcile these apparent mismatches. We incorporate three-body energy terms that account for the net stabilization of preformed target structures upon removal of interfacial water concurrent with drug binding. These unexplored drug-induced environmental changes enhancing the target electrostatics are validated against drug–target affinity data, yielding superior computational accuracy required to improve drug design.

Journal

Trends in BiotechnologyElsevier

Published: Jun 1, 2017

References

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