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173 related items for PubMed ID: 33657798

  • 1. MSLDOCK: Multi-Swarm Optimization for Flexible Ligand Docking and Virtual Screening.
    Li C, Sun J, Palade V.
    J Chem Inf Model; 2021 Mar 22; 61(3):1500-1515. PubMed ID: 33657798
    [Abstract] [Full Text] [Related]

  • 2. Diversity-guided Lamarckian random drift particle swarm optimization for flexible ligand docking.
    Li C, Sun J, Palade V.
    BMC Bioinformatics; 2020 Jul 06; 21(1):286. PubMed ID: 32631216
    [Abstract] [Full Text] [Related]

  • 3. Entropy-based lamarckian quantum-behaved particle swarm optimization for flexible ligand docking.
    You Q, Li C, Sun J, Palade V, Pan F.
    Mol Inform; 2023 Mar 06; 42(3):e2200080. PubMed ID: 36720014
    [Abstract] [Full Text] [Related]

  • 4. Parallel multi-swarm cooperative particle swarm optimization for protein-ligand docking and virtual screening.
    Li C, Li J, Sun J, Mao L, Palade V, Ahmad B.
    BMC Bioinformatics; 2022 May 30; 23(1):201. PubMed ID: 35637537
    [Abstract] [Full Text] [Related]

  • 5. An Effective Swarm Intelligence Optimization Algorithm for Flexible Ligand Docking.
    Li C, Sun J, Li LW, Wu X, Palade V.
    IEEE/ACM Trans Comput Biol Bioinform; 2022 May 30; 19(5):2672-2684. PubMed ID: 34375285
    [Abstract] [Full Text] [Related]

  • 6. PSOVina: The hybrid particle swarm optimization algorithm for protein-ligand docking.
    Ng MC, Fong S, Siu SW.
    J Bioinform Comput Biol; 2015 Jun 30; 13(3):1541007. PubMed ID: 25800162
    [Abstract] [Full Text] [Related]

  • 7. Random drift particle swarm optimisation algorithm for highly flexible protein-ligand docking.
    Fu Y, Chen Z, Sun J.
    J Theor Biol; 2018 Nov 14; 457():180-189. PubMed ID: 30170044
    [Abstract] [Full Text] [Related]

  • 8. SODOCK: swarm optimization for highly flexible protein-ligand docking.
    Chen HM, Liu BF, Huang HL, Hwang SF, Ho SY.
    J Comput Chem; 2007 Jan 30; 28(2):612-23. PubMed ID: 17186483
    [Abstract] [Full Text] [Related]

  • 9. pso@autodock: a fast flexible molecular docking program based on Swarm intelligence.
    Namasivayam V, Günther R.
    Chem Biol Drug Des; 2007 Dec 30; 70(6):475-84. PubMed ID: 17986206
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  • 10. RDPSOVina: the random drift particle swarm optimization for protein-ligand docking.
    Li J, Li C, Sun J, Palade V.
    J Comput Aided Mol Des; 2022 Jun 30; 36(6):415-425. PubMed ID: 35532815
    [Abstract] [Full Text] [Related]

  • 11. FIPSDock: a new molecular docking technique driven by fully informed swarm optimization algorithm.
    Liu Y, Zhao L, Li W, Zhao D, Song M, Yang Y.
    J Comput Chem; 2013 Jan 05; 34(1):67-75. PubMed ID: 22961860
    [Abstract] [Full Text] [Related]

  • 12. FWAVina: A novel optimization algorithm for protein-ligand docking based on the fireworks algorithm.
    Li J, Song Y, Li F, Zhang H, Liu W.
    Comput Biol Chem; 2020 Oct 05; 88():107363. PubMed ID: 32861160
    [Abstract] [Full Text] [Related]

  • 13. 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]

  • 14. GWOVina: A grey wolf optimization approach to rigid and flexible receptor docking.
    Wong KM, Tai HK, Siu SWI.
    Chem Biol Drug Des; 2021 Jan 14; 97(1):97-110. PubMed ID: 32679606
    [Abstract] [Full Text] [Related]

  • 15. A comparison of various optimization algorithms of protein-ligand docking programs by fitness accuracy.
    Guo L, Yan Z, Zheng X, Hu L, Yang Y, Wang J.
    J Mol Model; 2014 Jul 14; 20(7):2251. PubMed ID: 24935106
    [Abstract] [Full Text] [Related]

  • 16. Advances in Docking.
    Sulimov VB, Kutov DC, Sulimov AV.
    Curr Med Chem; 2019 Jul 14; 26(42):7555-7580. PubMed ID: 30182836
    [Abstract] [Full Text] [Related]

  • 17. Comprehensive assessment of flexible-ligand docking algorithms: current effectiveness and challenges.
    Huang SY.
    Brief Bioinform; 2018 Sep 28; 19(5):982-994. PubMed ID: 28334282
    [Abstract] [Full Text] [Related]

  • 18. jMetalCpp: optimizing molecular docking problems with a C++ metaheuristic framework.
    López-Camacho E, García Godoy MJ, Nebro AJ, Aldana-Montes JF.
    Bioinformatics; 2014 Feb 01; 30(3):437-8. PubMed ID: 24273242
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  • 19. A Hybrid Cuckoo Search and Differential Evolution Approach to Protein⁻Ligand Docking.
    Lin H, Siu SWI.
    Int J Mol Sci; 2018 Oct 15; 19(10):. PubMed ID: 30326669
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  • 20. PepVis: An integrated peptide virtual screening pipeline for ensemble and flexible docking protocols.
    Ansar S, Vetrivel U.
    Chem Biol Drug Des; 2019 Dec 15; 94(6):2041-2050. PubMed ID: 31441995
    [Abstract] [Full Text] [Related]

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