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DOCK 6: Incorporating hierarchical traversal through precomputed ligand conformations to enable large-scale docking

  1. Author:
    Balius,Trent [ORCID]
    Tan, Y Stanley [ORCID]
    Chakrabarti,Mayukh [ORCID]
  2. Author Address

    NCI RAS Initiative, Cancer Research Technology Program, Frederick National Laboratory for Cancer Research, Leidos Biomedical Research, Inc., Frederick, Maryland, USA.,
    1. Year: 2023
    2. Date: Sep 25
    3. Epub Date: 2023 09 25
  1. Journal: Journal of Computational Chemistry
  2. Type of Article: Article
  1. Abstract:

    To allow DOCK 6 access to unprecedented chemical space for screening billions of small molecules, we have implemented features from DOCK 3.7 into DOCK 6, including a search routine that traverses precomputed ligand conformations stored in a hierarchical database. We tested them on the DUDE-Z and SB2012 test sets. The hierarchical database search routine is 16 times faster than anchor-and-grow. However, the ability of hierarchical database search to reproduce the experimental pose is 16% worse than that of anchor-and-grow. The enrichment performance is on average similar, but DOCK 3.7 has better enrichment than DOCK 6, and DOCK 6 is on average 1.7 times slower. However, with post-docking torsion minimization, DOCK 6 surpasses DOCK 3.7. A large-scale virtual screen is performed with DOCK 6 on 23 million fragment molecules. We use current features in DOCK 6 to complement hierarchical database calculations, including torsion minimization, which is not available in DOCK 3.7. © 2023 The Authors. Journal of Computational Chemistry published by Wiley Periodicals LLC.

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External Sources

  1. DOI: 10.1002/jcc.27218
  2. PMID: 37743732

Library Notes

  1. Fiscal Year: FY2023-2024
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