Optimal water networks in protein cavities with GAsol and 3D-RISM

Bioinformatics. 2018 Jun 1;34(11):1947-1948. doi: 10.1093/bioinformatics/bty024.

Abstract

Motivation: Water molecules in protein binding sites play essential roles in biological processes. The popular 3D-RISM prediction method can calculate the solvent density distribution within minutes, but is difficult to convert it into explicit water molecules.

Results: We present GAsol, a tool that is capable of finding the network of water molecules that best fits a particular 3D-RISM density distribution in a fast and accurate manner and that outperforms other available tools by finding the globally optimal solution thanks to its genetic algorithm.

Availability and implementation: https://github.com/accsc/GAsol. BSD 3-clauses license.

Contact: alvaro.x.cortes@gsk.com.

Supplementary information: Supplementary data are available at Bioinformatics online.

MeSH terms

  • Binding Sites
  • Computational Biology / methods*
  • Models, Molecular*
  • Protein Conformation
  • Proteins / chemistry*
  • Proteins / metabolism
  • Software*
  • Water / chemistry*

Substances

  • Proteins
  • Water