Literature DB >> 23102165

Water structure, dynamics, and spectral signatures: changes upon model cavity-ligand recognition.

Riccardo Baron1, Piotr Setny, Francesco Paesani.   

Abstract

It is becoming increasingly evident that water plays an active role in noncovalent receptor-ligand association. In this study, hydrophobic cavity-ligand association in a model system is characterized through the analysis of the structure, dynamics, and corresponding spectral signatures of water at different stages of the binding process. Molecular dynamics simulations reveal that the reorientation of the water molecules around the ligand becomes faster as the receptor-ligand distance reduces, which is correlated with the decrease in number of water-water hydrogen bonds within the ligand hydration shells. Prompted by the need for calculating physical quantities that can be amenable to experimental validation, the changes in the spectroscopic features upon cavity-ligand binding are investigated. The analysis of both linear and nonlinear infrared spectra allows direct insight into the evolution of water structure and dynamics around the ligand. In particular, characteristic spectroscopic features emerge at key stages of the binding process, which are related to changes in the hydrogen-bond topology of water around the ligand. This study demonstrates that computer simulations and vibrational spectroscopy could be integrated to facilitate the direct study of solvent effects in biomolecular association.

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Year:  2012        PMID: 23102165     DOI: 10.1021/jp309373q

Source DB:  PubMed          Journal:  J Phys Chem B        ISSN: 1520-5207            Impact factor:   2.991


  3 in total

1.  Solvent fluctuations in hydrophobic cavity-ligand binding kinetics.

Authors:  Piotr Setny; Riccardo Baron; Peter Michael Kekenes-Huskey; J Andrew McCammon; Joachim Dzubiella
Journal:  Proc Natl Acad Sci U S A       Date:  2013-01-07       Impact factor: 11.205

Review 2.  Molecular Shape and the Hydrophobic Effect.

Authors:  Matthew B Hillyer; Bruce C Gibb
Journal:  Annu Rev Phys Chem       Date:  2016-05-27       Impact factor: 12.703

3.  Analysis of factors influencing hydration site prediction based on molecular dynamics simulations.

Authors:  Ying Yang; Bingjie Hu; Markus A Lill
Journal:  J Chem Inf Model       Date:  2014-10-07       Impact factor: 4.956

  3 in total

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