Surflex: Fully Automatic Flexible Molecular Docking Using a Molecular Similarity-Based Search Engine
University of California, San Francisco · Cancer Research Institute
Abstract
Surflex is a fully automatic flexible molecular docking algorithm that combines the scoring function from the Hammerhead docking system with a search engine that relies on a surface-based molecular similarity method as a means to rapidly generate suitable putative poses for molecular fragments. Results are presented evaluating reliability and accuracy of dockings compared with crystallographic experimental results on 81 protein/ligand pairs of substantial structural diversity. In over 80% of the complexes, Surflex's highest scoring docked pose was within 2.5 A root-mean-square deviation (rmsd), with over 90% of the complexes having one of the top ranked poses within 2.5 A rmsd. Results are also presented…
Citation impact
- FWCI
- 17.11
- Percentile
- 100%
- References
- 11
Authors
1Topics & keywords
- Docking (animal)
- Chemistry
- Searching the conformational space for docking
- Computational biology
- Algorithm
- Computer science
- Binding site
- Biochemistry