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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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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
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author Irwin, John J.
Shoichet, Brian K.
Mysinger, Michael M.
Huang, Niu
Colizzi, Francesco
Wassam, Pascal
Cao, Yiqun
author_facet Irwin, John J.
Shoichet, Brian K.
Mysinger, Michael M.
Huang, Niu
Colizzi, Francesco
Wassam, Pascal
Cao, Yiqun
author_sort Irwin, John J.
collection PubMed
description [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.
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spelling pubmed-27458262009-09-17 Automated Docking Screens: A Feasibility Study Irwin, John J. Shoichet, Brian K. Mysinger, Michael M. Huang, Niu Colizzi, Francesco Wassam, Pascal Cao, Yiqun J Med Chem [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. American Chemical Society 2009-08-31 2009-09-24 /pmc/articles/PMC2745826/ /pubmed/19719084 http://dx.doi.org/10.1021/jm9006966 Text en Copyright © 2009 American Chemical Society http://pubs.acs.org This is an open-access article distributed under the ACS AuthorChoice Terms & Conditions. Any use of this article, must conform to the terms of that license which are available at http://pubs.acs.org.
spellingShingle Irwin, John J.
Shoichet, Brian K.
Mysinger, Michael M.
Huang, Niu
Colizzi, Francesco
Wassam, Pascal
Cao, Yiqun
Automated Docking Screens: A Feasibility Study
title Automated Docking Screens: A Feasibility Study
title_full Automated Docking Screens: A Feasibility Study
title_fullStr Automated Docking Screens: A Feasibility Study
title_full_unstemmed Automated Docking Screens: A Feasibility Study
title_short Automated Docking Screens: A Feasibility Study
title_sort automated docking screens: a feasibility study
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2745826/
https://www.ncbi.nlm.nih.gov/pubmed/19719084
http://dx.doi.org/10.1021/jm9006966
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