Abstract
Small molecule docking remains one of the most valuable computational techniques for the structure prediction of protein-small molecule complexes. It allows us to study the interactions between compounds and the protein receptors they target at atomic detail, in a timely and efficient manner. Here we present a new protocol in HADDOCK, our integrative modelling platform, which incorporates homology information for both receptor and compounds. It makes use of HADDOCK’s unique ability to integrate information in the simulation to drive it toward conformations which agree with the provided data. The focal point is the use of shape restraints derived from homologous compounds bound to the target receptors. We have developed two protocols: In the first, the shape is composed of fake atom beads based on the position of the heavy atoms of the homologous template compound, whereas in the second the shape is additionally annotated with pharmacophore data, for some or all beads. For both protocols, ambiguous distance restraints are subsequently defined between those beads and the heavy atoms of the ligand to be docked. We have benchmarked the performance of these protocols with a fully unbound version of the widely used DUD-E dataset. In this unbound docking scenario, our template/shape-based docking protocol reaches an overall success rate of 81% on 99 complexes, which is close to the best results reported for bound docking on the DUD-E dataset.
Competing Interest Statement
The authors have declared no competing interest.
Abbreviations Used
- HADDOCK
- High Ambiguity Driven DOCKing
- DUD-E
- Database of Useful Decoys: Enhanced
- GC
- Grand Challenge
- D3R
- Drug Design Data Resource
- CSAR
- Community Structure-Activity Resource
- IL-RMSD
- Interface Ligand-RMSD
- ΔIL-RMSD
- delta IL-RMSD
- MCS
- Maximum Common Substructure
