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PUBMED FOR HANDHELDS

Journal Abstract Search


151 related items for PubMed ID: 31545095

  • 21. Improving performance of docking-based virtual screening by structural filtration.
    Novikov FN, Stroylov VS, Stroganov OV, Chilov GG.
    J Mol Model; 2010 Jul; 16(7):1223-30. PubMed ID: 20041273
    [Abstract] [Full Text] [Related]

  • 22. A D3R prospective evaluation of machine learning for protein-ligand scoring.
    Sunseri J, Ragoza M, Collins J, Koes DR.
    J Comput Aided Mol Des; 2016 Sep; 30(9):761-771. PubMed ID: 27592011
    [Abstract] [Full Text] [Related]

  • 23. Discovery of binding proteins for a protein target using protein-protein docking-based virtual screening.
    Zhang C, Tang B, Wang Q, Lai L.
    Proteins; 2014 Oct; 82(10):2472-82. PubMed ID: 24854898
    [Abstract] [Full Text] [Related]

  • 24. Scoring functions for prediction of protein-ligand interactions.
    Wang JC, Lin JH.
    Curr Pharm Des; 2013 Oct; 19(12):2174-82. PubMed ID: 23016847
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  • 27. Binding energy landscape analysis helps to discriminate true hits from high-scoring decoys in virtual screening.
    Wei D, Zheng H, Su N, Deng M, Lai L.
    J Chem Inf Model; 2010 Oct 25; 50(10):1855-64. PubMed ID: 20968314
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  • 29. Consensus scoring for enriching near-native structures from protein-protein docking decoys.
    Liang S, Meroueh SO, Wang G, Qiu C, Zhou Y.
    Proteins; 2009 May 01; 75(2):397-403. PubMed ID: 18831053
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  • 31. The consequences of scoring docked ligand conformations using free energy correlations.
    Spyrakis F, Amadasi A, Fornabaio M, Abraham DJ, Mozzarelli A, Kellogg GE, Cozzini P.
    Eur J Med Chem; 2007 Jul 01; 42(7):921-33. PubMed ID: 17346861
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  • 32. 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
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  • 33. Virtual Ligand Screening Using PL-PatchSurfer2, a Molecular Surface-Based Protein-Ligand Docking Method.
    Shin WH, Kihara D.
    Methods Mol Biol; 2018 May 14; 1762():105-121. PubMed ID: 29594770
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  • 34. Comparison of several molecular docking programs: pose prediction and virtual screening accuracy.
    Cross JB, Thompson DC, Rai BK, Baber JC, Fan KY, Hu Y, Humblet C.
    J Chem Inf Model; 2009 Jun 14; 49(6):1455-74. PubMed ID: 19476350
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  • 36. Distilling the essential features of a protein surface for improving protein-ligand docking, scoring, and virtual screening.
    Zavodszky MI, Sanschagrin PC, Korde RS, Kuhn LA.
    J Comput Aided Mol Des; 2002 Dec 14; 16(12):883-902. PubMed ID: 12825621
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  • 37. Boosted neural networks scoring functions for accurate ligand docking and ranking.
    Ashtawy HM, Mahapatra NR.
    J Bioinform Comput Biol; 2018 Apr 14; 16(2):1850004. PubMed ID: 29495922
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  • 38. Improving molecular docking through eHiTS' tunable scoring function.
    Ravitz O, Zsoldos Z, Simon A.
    J Comput Aided Mol Des; 2011 Nov 14; 25(11):1033-51. PubMed ID: 22076470
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  • 39. Improvements, trends, and new ideas in molecular docking: 2012-2013 in review.
    Yuriev E, Holien J, Ramsland PA.
    J Mol Recognit; 2015 Oct 14; 28(10):581-604. PubMed ID: 25808539
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  • 40. GEMDOCK: a generic evolutionary method for molecular docking.
    Yang JM, Chen CC.
    Proteins; 2004 May 01; 55(2):288-304. PubMed ID: 15048822
    [Abstract] [Full Text] [Related]


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