Blinded evaluation of farnesoid X receptor (FXR) ligands binding using molecular docking and free energy calculations

J Comput Aided Mol Des. 2018 Jan;32(1):273-286. doi: 10.1007/s10822-017-0054-1. Epub 2017 Sep 2.

Abstract

Our participation to the D3R Grand Challenge 2 involved a protocol in two steps, with an initial analysis of the available structural data from the PDB allowing the selection of the most appropriate combination of docking software and scoring function. Subsequent docking calculations showed that the pose prediction can be carried out with a certain precision, but this is dependent on the specific nature of the ligands. The correct ranking of docking poses is still a problem and cannot be successful in the absence of good pose predictions. Our free energy calculations on two different subsets provided contrasted results, which might have the origin in non-optimal force field parameters associated with the sulfonamide chemical moiety.

Keywords: Autodock; D3R; Docking; Drug design data resource; FXR; Farnesoid X receptor; Gold; Grand Challenge 2; Scoring function; Vina.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Benzimidazoles / chemistry
  • Benzimidazoles / pharmacology
  • Databases, Protein
  • Drug Design
  • Humans
  • Isoxazoles / chemistry
  • Isoxazoles / pharmacology
  • Ligands
  • Molecular Docking Simulation
  • Protein Binding
  • Protein Conformation
  • Receptors, Cytoplasmic and Nuclear / chemistry
  • Receptors, Cytoplasmic and Nuclear / metabolism*
  • Small Molecule Libraries / chemistry*
  • Small Molecule Libraries / pharmacology*
  • Software
  • Spiro Compounds / chemistry
  • Spiro Compounds / pharmacology
  • Sulfonamides / chemistry
  • Sulfonamides / pharmacology
  • Thermodynamics*

Substances

  • Benzimidazoles
  • Isoxazoles
  • Ligands
  • Receptors, Cytoplasmic and Nuclear
  • Small Molecule Libraries
  • Spiro Compounds
  • Sulfonamides
  • farnesoid X-activated receptor