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Journal Abstract Search

245 related items for PubMed ID: 30170044

  • 1. 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]

  • 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. pso@autodock: a fast flexible molecular docking program based on Swarm intelligence.
    Namasivayam V, Günther R.
    Chem Biol Drug Des; 2007 Dec 06; 70(6):475-84. PubMed ID: 17986206
    [Abstract] [Full Text] [Related]

  • 4. 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]

  • 5. Insights into the Molecular Mechanisms of Protein-Ligand Interactions by Molecular Docking and Molecular Dynamics Simulation: A Case of Oligopeptide Binding Protein.
    Fu Y, Zhao J, Chen Z.
    Comput Math Methods Med; 2018 Jan 30; 2018():3502514. PubMed ID: 30627209
    [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. 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]

  • 8. 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 Jan 05; 19(5):2672-2684. PubMed ID: 34375285
    [Abstract] [Full Text] [Related]

  • 9. 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]

  • 10. 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 22; 42(3):e2200080. PubMed ID: 36720014
    [Abstract] [Full Text] [Related]

  • 11. 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 22; 20(7):2251. PubMed ID: 24935106
    [Abstract] [Full Text] [Related]

  • 12. Advances in Docking.
    Sulimov VB, Kutov DC, Sulimov AV.
    Curr Med Chem; 2019 Jul 22; 26(42):7555-7580. PubMed ID: 30182836
    [Abstract] [Full Text] [Related]

  • 13. 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 22; 36(6):415-425. PubMed ID: 35532815
    [Abstract] [Full Text] [Related]

  • 14. A new Lamarckian genetic algorithm for flexible ligand-receptor docking.
    Fuhrmann J, Rurainski A, Lenhof HP, Neumann D.
    J Comput Chem; 2010 Jul 15; 31(9):1911-8. PubMed ID: 20082382
    [Abstract] [Full Text] [Related]

  • 15. Flexible ligand docking using evolutionary algorithms: investigating the effects of variation operators and local search hybrids.
    Thomsen R.
    Biosystems; 2003 Nov 15; 72(1-2):57-73. PubMed ID: 14642659
    [Abstract] [Full Text] [Related]

  • 16. AutoDockFR: Advances in Protein-Ligand Docking with Explicitly Specified Binding Site Flexibility.
    Ravindranath PA, Forli S, Goodsell DS, Olson AJ, Sanner MF.
    PLoS Comput Biol; 2015 Dec 15; 11(12):e1004586. PubMed ID: 26629955
    [Abstract] [Full Text] [Related]

  • 17. An Efficient ABC_DE_Based Hybrid Algorithm for Protein-Ligand Docking.
    Guan B, Zhang C, Zhao Y.
    Int J Mol Sci; 2018 Apr 13; 19(4):. PubMed ID: 29652791
    [Abstract] [Full Text] [Related]

  • 18. 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
    [Abstract] [Full Text] [Related]

  • 19. Comprehensive evaluation of ten docking programs on a diverse set of protein-ligand complexes: the prediction accuracy of sampling power and scoring power.
    Wang Z, Sun H, Yao X, Li D, Xu L, Li Y, Tian S, Hou T.
    Phys Chem Chem Phys; 2016 May 14; 18(18):12964-75. PubMed ID: 27108770
    [Abstract] [Full Text] [Related]

  • 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 14; 97(1):97-110. PubMed ID: 32679606
    [Abstract] [Full Text] [Related]

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