Toward the Design of Allosteric Effectors: Gaining Comprehensive Control of Drug Properties and Actions.

J Med Chem

Bioinformatics Institute (BII), Agency for Science, Technology and Research (A*STAR), 30 Biopolis Street, #07-01, Matrix, Singapore 138671, Singapore.

Published: October 2024

AI Article Synopsis

  • The therapeutic potential of allosteric drugs is being recognized, but finding effective allosteric effectors has mostly been accidental rather than strategic.
  • A new computational framework has been developed to systematically identify and design allosteric sites and effectors, enabling precise regulation of specific functional sites.
  • This framework was validated with key proteins like the SARS-CoV-2 protease and K-Ras oncoprotein, showing potential for creating targeted allosteric therapies in the context of precision medicine.

Article Abstract

While the therapeutic potential of allosteric drugs is increasingly realized, the discovery of effectors is largely incidental. The rational design of allosteric effectors requires new state-of-the-art approaches to account for the distinct characteristics of allosteric ligands and their modes of action. We present a broadly applicable computational framework for obtaining allosteric site-effector pairs, providing targeted, highly specific, and tunable regulation to any functional site. We validated the framework using the main protease from SARS-CoV-2 and the K-Ras oncoprotein. High-throughput per-residue quantification of the energetics of allosteric signaling and effector binding revealed known drugs capable of inducing the required modulation upon binding. Starting from fragments of known well-characterized drugs, allosteric effectors and binding sites were designed and optimized simultaneously to achieve targeted and specific signaling to distinct functional sites, such as, for example, the switch regions of K-Ras. The generic framework proposed in this work will be instrumental in developing allosteric therapies aligned with a precision medicine approach.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11472305PMC
http://dx.doi.org/10.1021/acs.jmedchem.4c01043DOI Listing

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