Cryptic binding sites on proteins: definition, detection, and druggability

Curr Opin Chem Biol. 2018 Jun:44:1-8. doi: 10.1016/j.cbpa.2018.05.003. Epub 2018 May 23.

Abstract

Many proteins in their unbound structures lack surface pockets appropriately sized for drug binding. Hence, a variety of experimental and computational tools have been developed for the identification of cryptic sites that are not evident in the unbound protein but form upon ligand binding, and can provide tractable drug target sites. The goal of this review is to discuss the definition, detection, and druggability of such sites, and their potential value for drug discovery. Novel methods based on molecular dynamics simulations are particularly promising and yield a large number of transient pockets, but it has been shown that only a minority of such sites are generally capable of binding ligands with substantial affinity. Based on recent studies, current methodology can be improved by combining molecular dynamics with fragment docking and machine learning approaches.

Publication types

  • Research Support, N.I.H., Extramural
  • Review

MeSH terms

  • Animals
  • Binding Sites / drug effects*
  • Computer-Aided Design
  • Drug Discovery / methods*
  • Humans
  • Ligands
  • Machine Learning
  • Molecular Docking Simulation
  • Molecular Dynamics Simulation
  • Proteins / chemistry*
  • Proteins / metabolism

Substances

  • Ligands
  • Proteins