Literature DB >> 34241173

Building intuition for binding free energy calculations: Bound state definition, restraints, and symmetry.

E Duboué-Dijon1, J Hénin1.   

Abstract

The theory behind computation of absolute binding free energies using explicit-solvent molecular simulations is well-established, yet somewhat complex, with counter-intuitive aspects. This leads to frequent frustration, common misconceptions, and sometimes erroneous numerical treatment. To improve this, we present the main practically relevant segments of the theory with constant reference to physical intuition. We pinpoint the role of the implicit or explicit definition of the bound state (or the binding site) to make a robust link between an experimental measurement and a computational result. We clarify the role of symmetry and discuss cases where symmetry number corrections have been misinterpreted. In particular, we argue that symmetry corrections as classically presented are a source of confusion and could be advantageously replaced by restraint free energy contributions. We establish that contrary to a common intuition, partial or missing sampling of some modes of symmetric bound states does not affect the calculated decoupling free energies. Finally, we review these questions and pitfalls in the context of a few common practical situations: binding to a symmetric receptor (equivalent binding sites), binding of a symmetric ligand (equivalent poses), and formation of a symmetric complex, in the case of homodimerization.

Entities:  

Year:  2021        PMID: 34241173     DOI: 10.1063/5.0046853

Source DB:  PubMed          Journal:  J Chem Phys        ISSN: 0021-9606            Impact factor:   3.488


  2 in total

1.  Membrane-binding mechanism of the EEA1 FYVE domain revealed by multi-scale molecular dynamics simulations.

Authors:  Andreas Haahr Larsen; Lilya Tata; Laura H John; Mark S P Sansom
Journal:  PLoS Comput Biol       Date:  2021-09-23       Impact factor: 4.475

2.  On the NS-DSSB unidirectional estimates in the SAMPL6 SAMPLing challenge.

Authors:  Piero Procacci; Marina Macchiagodena
Journal:  J Comput Aided Mol Des       Date:  2021-10-09       Impact factor: 3.686

  2 in total

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