Mixture-of-Experts Based Dissociation Kinetic Model for Design of HSP90 Inhibitors with Prolonged Residence Time.

J Chem Inf Model

State Key Laboratory of Fine Chemicals, Frontiers Science Center for Smart Materials Oriented Chemical Engineering, Department of Pharmaceutical Sciences, Institute of Chemical Process Systems Engineering, School of Chemical Engineering, Dalian University of Technology, Dalian 116024, China.

Published: November 2024

AI Article Synopsis

  • The dissociation rate constant is crucial for determining how potent a drug is and how often it needs to be administered.
  • A new optimization-based framework for drug design was developed, utilizing a comprehensive database of dissociation values and a novel kinetic model for accurate predictions.
  • In a case study, this framework was effective in identifying new potential HSP90 inhibitors, improving drug residence time significantly compared to existing options.

Article Abstract

The dissociation rate constant () significantly impacts the drug potency and dosing frequency. This work proposes a powerful optimization-based framework for drug design guided by . First, a comprehensive database containing 2,773 unique values is created. Based on the database, a novel generic dissociation kinetic model is developed with a mixture-of-experts architecture, enabling high-throughput predictions of with high accuracy. The developed model is then integrated with an optimization-based mathematical programming approach to design drug candidates with low . Finally, the τ-RAMD method is utilized to rigorously verify the designed potential drug candidates. In a case study, the framework successfully identified numerous new potential HSP90 inhibitor candidates, achieving a maximum 45.7% improvement in residence time (τ = 1/) compared to that of a known exceptional HSP90 inhibitor. These findings demonstrate the feasibility and effectiveness of the kinetics-guided optimization-based drug design framework in designing drug candidates with prolonged τ.

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Source
http://dx.doi.org/10.1021/acs.jcim.4c00726DOI Listing

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