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CRDOCK: an ultrafast multipurpose protein-ligand docking tool
- Source :
- Digital.CSIC. Repositorio Institucional del CSIC, instname
- Publication Year :
- 2012
-
Abstract
- An ultrafast docking and virtual screening program, CRDOCK, is presented that contains (1) a search engine that can use a variety of sampling methods and an initial energy evaluation function, (2) several energy minimization algorithms for fine tuning the binding poses, and (3) different scoring functions. This modularity ensures the easy configuration of custom-made protocols that can be optimized depending on the problem in hand. CRDOCK employs a precomputed library of ligand conformations that are initially generated from one-dimensional SMILES strings. Testing CRDOCK on two widely used benchmarks, the ASTEX diverse set and the Directory of Useful Decoys, yielded a success rate of ∼75% in pose prediction and an average AUC of 0.66. A typical ligand can be docked, on average, in just ∼13 s. Extension to a representative group of pharmacologically relevant G protein-coupled receptors that have been recently cocrystallized with some selective ligands allowed us to demonstrate the utility of this tool and also highlight some current limitations. CRDOCK is now included within VSDMIP, our integrated platform for drug discovery. © 2012 American Chemical Society.<br />CICYT (SAF2009-13914-C02-02); Comunidad Autónoma de Madrid; AMAROUTO; Ministerio de Economia y Competitividad
- Subjects :
- Fine-tuning
Time Factors
Computer science
Protein Conformation
General Chemical Engineering
Drug Evaluation, Preclinical
Library and Information Sciences
Energy minimization
Machine learning
computer.software_genre
Ligands
Receptors, G-Protein-Coupled
Search engine
User-Computer Interface
Humans
Virtual screening
business.industry
Proteins
General Chemistry
Evaluation function
Computer Science Applications
Molecular Docking Simulation
Protein–ligand docking
Docking (molecular)
Thermodynamics
Artificial intelligence
business
Ultrashort pulse
computer
Algorithm
Subjects
Details
- ISSN :
- 1549960X
- Volume :
- 52
- Issue :
- 8
- Database :
- OpenAIRE
- Journal :
- Journal of chemical information and modeling
- Accession number :
- edsair.doi.dedup.....dfb1b2043b6395f16a7a95dd4e508cd2