Literature DB >> 33351206

The Perturbed Free-Energy Landscape: Linking Ligand Binding to Biomolecular Folding.

Abdallah S Abdelsattar1, Youssef Mansour1, Fareed Aboul-Ela1.   

Abstract

The effects of ligand binding on biomolecular conformation are crucial in drug design, enzyme mechanisms, the regulation of gene expression, and other biological processes. Descriptive models such as "lock and key", "induced fit", and "conformation selection" are common ways to interpret such interactions. Another historical model, linked equilibria, proposes that the free-energy landscape (FEL) is perturbed by the addition of ligand binding energy for the bound population of biomolecules. This principle leads to a unified, quantitative theory of ligand-induced conformation change, building upon the FEL concept. We call the map of binding free energy over biomolecular conformational space the "binding affinity landscape" (BAL). The perturbed FEL predicts/explains ligand-induced conformational changes conforming to all common descriptive models. We review recent experimental and computational studies that exemplify the perturbed FEL, with emphasis on RNA. This way of understanding ligand-induced conformation dynamics motivates new experimental and theoretical approaches to ligand design, structural biology and systems biology.
© 2020 Wiley-VCH GmbH.

Entities:  

Keywords:  free-energy landscape; linked equilibria; molecular recognition; network simulation; structural biology

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Year:  2021        PMID: 33351206     DOI: 10.1002/cbic.202000695

Source DB:  PubMed          Journal:  Chembiochem        ISSN: 1439-4227            Impact factor:   3.164


  2 in total

Review 1.  Analytical and functional aspects of protein-ligand interactions: Beyond induced fit and conformational selection.

Authors:  Michelle Redhair; William M Atkins
Journal:  Arch Biochem Biophys       Date:  2021-10-26       Impact factor: 4.013

2.  The Structural Effects of Phosphorylation of Protein Arginine Methyltransferase 5 on Its Binding to Histone H4.

Authors:  Rita Börzsei; Bayartsetseg Bayarsaikhan; Balázs Zoltán Zsidó; Beáta Lontay; Csaba Hetényi
Journal:  Int J Mol Sci       Date:  2022-09-26       Impact factor: 6.208

  2 in total

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