Automated Docking Screens: A Feasibility Study

被引:218
作者
Irwin, John J. [1 ]
Shoichet, Brian K. [1 ]
Mysinger, Michael M. [1 ]
Huang, Niti [2 ]
Colizzi, Francesco [3 ]
Wassam, Pascal [1 ]
Cao, Yiqun [4 ]
机构
[1] Univ Calif San Francisco, Dept Pharmaceut Chem, San Francisco, CA 94158 USA
[2] NIBS, Beijing 102206, Peoples R China
[3] Univ Bologna, Dipartimento Sci Farmaceut, I-40126 Bologna, Italy
[4] Univ Calif Riverside, Dept Comp Sci & Engn, Riverside, CA 92521 USA
关键词
STRUCTURE-BASED DISCOVERY; PROTEIN-LIGAND DOCKING; MOLECULAR DOCKING; SCORING FUNCTIONS; RECEPTOR LIGANDS; FLEXIBLE DOCKING; HIGH-THROUGHPUT; BETA-LACTAMASE; LEAD DISCOVERY; DRUG DESIGN;
D O I
10.1021/jm9006966
中图分类号
R914 [药物化学];
学科分类号
100705 [微生物与生化药学];
摘要
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 angstrom 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 angstrom rmsd, suggesting that unsupervised prospective docking is viable. DOCK Blaster is available at http://blaster.docking.org.
引用
收藏
页码:5712 / 5720
页数:9
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