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Pubmed for Handhelds

PUBMED FOR HANDHELDS

Journal Abstract Search

230 related items for PubMed ID: 35566391

  • 1.
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  • 2. Vina-GPU 2.0: Further Accelerating AutoDock Vina and Its Derivatives with Graphics Processing Units.
    Ding J, Tang S, Mei Z, Wang L, Huang Q, Hu H, Ling M, Wu J.
    J Chem Inf Model; 2023 Apr 10; 63(7):1982-1998. PubMed ID: 36941232
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  • 3. Vina-GPU 2.1: Towards Further Optimizing Docking Speed and Precision of AutoDock Vina and Its Derivatives.
    Tang S, Ding J, Zhu X, Wang Z, Zhao H, Wu J.
    IEEE/ACM Trans Comput Biol Bioinform; 2024 Sep 25; PP():. PubMed ID: 39320991
    [Abstract] [Full Text] [Related]

  • 4. Evaluation of AutoDock and AutoDock Vina on the CASF-2013 Benchmark.
    Gaillard T.
    J Chem Inf Model; 2018 Aug 27; 58(8):1697-1706. PubMed ID: 29989806
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  • 5. Uni-Dock: GPU-Accelerated Docking Enables Ultralarge Virtual Screening.
    Yu Y, Cai C, Wang J, Bo Z, Zhu Z, Zheng H.
    J Chem Theory Comput; 2023 Jun 13; 19(11):3336-3345. PubMed ID: 37125970
    [Abstract] [Full Text] [Related]

  • 6. DockingApp RF: A State-of-the-Art Novel Scoring Function for Molecular Docking in a User-Friendly Interface to AutoDock Vina.
    Macari G, Toti D, Pasquadibisceglie A, Polticelli F.
    Int J Mol Sci; 2020 Dec 15; 21(24):. PubMed ID: 33333976
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  • 9. Accelerating AutoDock4 with GPUs and Gradient-Based Local Search.
    Santos-Martins D, Solis-Vasquez L, Tillack AF, Sanner MF, Koch A, Forli S.
    J Chem Theory Comput; 2021 Feb 09; 17(2):1060-1073. PubMed ID: 33403848
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  • 11. Chaos-embedded particle swarm optimization approach for protein-ligand docking and virtual screening.
    Tai HK, Jusoh SA, Siu SWI.
    J Cheminform; 2018 Dec 14; 10(1):62. PubMed ID: 30552524
    [Abstract] [Full Text] [Related]

  • 12. Vinardo: A Scoring Function Based on Autodock Vina Improves Scoring, Docking, and Virtual Screening.
    Quiroga R, Villarreal MA.
    PLoS One; 2016 Dec 14; 11(5):e0155183. PubMed ID: 27171006
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  • 13. Ringtail: A Python Tool for Efficient Management and Storage of Virtual Screening Results.
    Hansel-Harris AT, Santos-Martins D, Bruciaferri N, Tillack AF, Holcomb M, Forli S.
    J Chem Inf Model; 2023 Apr 10; 63(7):1858-1864. PubMed ID: 36976961
    [Abstract] [Full Text] [Related]

  • 14. Accounting of Receptor Flexibility in Ultra-Large Virtual Screens with VirtualFlow Using a Grey Wolf Optimization Method.
    Gorgulla C, Fackeldey K, Wagner G, Arthanari H.
    Supercomput Front Innov; 2020 Nov 07; 7(3):4-12. PubMed ID: 34693068
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  • 16. 1001 Ways to run AutoDock Vina for virtual screening.
    Jaghoori MM, Bleijlevens B, Olabarriaga SD.
    J Comput Aided Mol Des; 2016 Mar 07; 30(3):237-49. PubMed ID: 26897747
    [Abstract] [Full Text] [Related]

  • 17. PSOVina: The hybrid particle swarm optimization algorithm for protein-ligand docking.
    Ng MC, Fong S, Siu SW.
    J Bioinform Comput Biol; 2015 Jun 07; 13(3):1541007. PubMed ID: 25800162
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  • 20. GWOVina: A grey wolf optimization approach to rigid and flexible receptor docking.
    Wong KM, Tai HK, Siu SWI.
    Chem Biol Drug Des; 2021 Jan 07; 97(1):97-110. PubMed ID: 32679606
    [Abstract] [Full Text] [Related]

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