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Automated Docking Screens: A Feasibility Study

[Image: see text] Molecular docking is the most practical approach to leverage protein structure for ligand discovery, but the technique retains important liabilities that make it challenging to deploy on a large scale. We have therefore created an expert system, DOCK Blaster, to investigate the fea...

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Detalles Bibliográficos
Autores principales: Irwin, John J., Shoichet, Brian K., Mysinger, Michael M., Huang, Niu, Colizzi, Francesco, Wassam, Pascal, Cao, Yiqun
Formato: Texto
Lenguaje:English
Publicado: American Chemical Society 2009
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2745826/
https://www.ncbi.nlm.nih.gov/pubmed/19719084
http://dx.doi.org/10.1021/jm9006966
Descripción
Sumario:[Image: see text] Molecular docking is the most practical approach to leverage protein structure for ligand discovery, but the technique retains important liabilities that make it challenging to deploy on a large scale. We have therefore created an expert system, DOCK Blaster, to investigate the feasibility of full automation. The method requires a PDB code, sometimes with a ligand structure, and from that alone can launch a full screen of large libraries. A critical feature is self-assessment, which estimates the anticipated reliability of the automated screening results using pose fidelity and enrichment. Against common benchmarks, DOCK Blaster recapitulates the crystal ligand pose within 2 Å rmsd 50−60% of the time; inferior to an expert, but respectrable. Half the time the ligand also ranked among the top 5% of 100 physically matched decoys chosen on the fly. Further tests were undertaken culminating in a study of 7755 eligible PDB structures. In 1398 cases, the redocked ligand ranked in the top 5% of 100 property-matched decoys while also posing within 2 Å rmsd, suggesting that unsupervised prospective docking is viable. DOCK Blaster is available at http://blaster.docking.org.