Computational Tools for Accurate Binding Free-Energy Prediction

Maria M. Reif, Martin Zacharias

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

3 Scopus citations

Abstract

A quantitative thermodynamic understanding of the noncovalent association of (bio)molecules is of central importance in molecular life sciences. An important quantity characterizing (bio)molecular association is the binding affinity or absolute binding free energy. In recent years, the computational prediction of absolute binding free energies has evolved considerably in terms of accuracy, computational speed, and user-friendliness. In this chapter, we first give an overview of how absolute free energies are defined and how they can be determined with computational means. We proceed with an outline of the theoretical basis of the two most reliable methods, potential of mean force, and double decoupling calculations. In particular, we describe how the sampling problem can be alleviated by application of restraints. Finally, we provide step-by-step instructions of how to set up corresponding molecular simulations with a commonly employed molecular dynamics simulation engine.

Original languageEnglish
Title of host publicationMethods in Molecular Biology
PublisherHumana Press Inc.
Pages255-292
Number of pages38
DOIs
StatePublished - 2022
Externally publishedYes

Publication series

NameMethods in Molecular Biology
Volume2385
ISSN (Print)1064-3745
ISSN (Electronic)1940-6029

Keywords

  • Binding free energy
  • Double decoupling
  • Free-energy calculation
  • Molecular dynamics simulations
  • Potential of mean force

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