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A practical guide to large-scale docking

Bender, Brian J. (författare)
Univ Calif San Francisco, Dept Pharmaceut Chem, San Francisco, CA 94143 USA.
Gahbauer, Stefan (författare)
Univ Calif San Francisco, Dept Pharmaceut Chem, San Francisco, CA 94143 USA.
Luttens, Andreas (författare)
Uppsala universitet,Beräkningsbiologi och bioinformatik,Science for Life Laboratory, SciLifeLab
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Lyu, Jiankun (författare)
Univ Calif San Francisco, Dept Pharmaceut Chem, San Francisco, CA 94143 USA.
Webb, Chase M. (författare)
Univ Calif San Francisco, Dept Pharmaceut Chem, San Francisco, CA 94143 USA.
Stein, Reed M. (författare)
Univ Calif San Francisco, Dept Pharmaceut Chem, San Francisco, CA 94143 USA.
Fink, Elissa A. (författare)
Univ Calif San Francisco, Dept Pharmaceut Chem, San Francisco, CA 94143 USA.
Balius, Trent E. (författare)
Leidos Biomed Res Inc, Frederick Natl Lab Canc Res, Canc Res Technol Program, NCI RAS Initiat, Frederick, MD USA.
Carlsson, Jens (författare)
Uppsala universitet,Science for Life Laboratory, SciLifeLab,Beräkningsbiologi och bioinformatik
Irwin, John J. (författare)
Univ Calif San Francisco, Dept Pharmaceut Chem, San Francisco, CA 94143 USA.
Shoichet, Brian K. (författare)
Univ Calif San Francisco, Dept Pharmaceut Chem, San Francisco, CA 94143 USA.
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Univ Calif San Francisco, Dept Pharmaceut Chem, San Francisco, CA 94143 USA Beräkningsbiologi och bioinformatik (creator_code:org_t)
2021-09-24
2021
Engelska.
Ingår i: Nature Protocols. - : Springer Nature. - 1754-2189 .- 1750-2799. ; 16:10, s. 4799-4832
  • Tidskriftsartikel (refereegranskat)
Abstract Ämnesord
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  • Structure-based docking screens of large compound libraries have become common in early drug and probe discovery. As computer efficiency has improved and compound libraries have grown, the ability to screen hundreds of millions, and even billions, of compounds has become feasible for modest-sized computer clusters. This allows the rapid and cost-effective exploration and categorization of vast chemical space into a subset enriched with potential hits for a given target. To accomplish this goal at speed, approximations are used that result in undersampling of possible configurations and inaccurate predictions of absolute binding energies. Accordingly, it is important to establish controls, as are common in other fields, to enhance the likelihood of success in spite of these challenges. Here we outline best practices and control docking calculations that help evaluate docking parameters for a given target prior to undertaking a large-scale prospective screen, with exemplification in one particular target, the melatonin receptor, where following this procedure led to direct docking hits with activities in the subnanomolar range. Additional controls are suggested to ensure specific activity for experimentally validated hit compounds. These guidelines should be useful regardless of the docking software used. Docking software described in the outlined protocol (DOCK3.7) is made freely available for academic research to explore new hits for a range of targets. Structure-based docking screens of compound libraries are common in early drug and probe discovery. This protocol outlines best practices and control calculations to evaluate docking parameters prior to undertaking a large-scale prospective screen.

Ämnesord

NATURVETENSKAP  -- Biologi -- Biokemi och molekylärbiologi (hsv//swe)
NATURAL SCIENCES  -- Biological Sciences -- Biochemistry and Molecular Biology (hsv//eng)

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