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Allosteric inhibition explained through conformational ensembles sampling distinct “mixed” states

Jung Ah Byun, Bryan VanSchouwen, Madoka Akimoto, Giuseppe Melacini

2020Computational and Structural Biotechnology Journal47 citationsDOIOpen Access PDF

Abstract

partial agonism and allosteric pluripotency, as well as in maximizing inhibition while minimizing potency losses. In addition, by combining Nuclear Magnetic Resonance (NMR), Molecular Dynamics (MD) simulations and Ensemble Allosteric Modeling (EAM), we also show how to map the free-energy landscape of conformational ensembles containing "mixed" states. By discussing selected case studies, we illustrate how MD simulations and EAM complement NMR to quantitatively relate protein dynamics to function. The resulting NMR- and MD-based EAMs are anticipated to inform not only the design of new generations of highly selective allosteric inhibitors, but also the choice of multidrug combinations.

Topics & Concepts

Allosteric regulationAllosteric enzymeChemistryProtein dynamicsMolecular dynamicsProtein kinase ABiophysicsComputational biologyEnzymeBiochemistryBiologyComputational chemistryReceptor Mechanisms and SignalingMass Spectrometry Techniques and ApplicationsChemical Synthesis and Analysis
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