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PUBMED FOR HANDHELDS

Journal Abstract Search


1412 related items for PubMed ID: 24358939

  • 1.
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  • 2. Investigation of MM-PBSA rescoring of docking poses.
    Thompson DC, Humblet C, Joseph-McCarthy D.
    J Chem Inf Model; 2008 May; 48(5):1081-91. PubMed ID: 18465849
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  • 3. Message passing interface and multithreading hybrid for parallel molecular docking of large databases on petascale high performance computing machines.
    Zhang X, Wong SE, Lightstone FC.
    J Comput Chem; 2013 Apr 30; 34(11):915-27. PubMed ID: 23345155
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  • 6. 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 30; 49(6):1455-74. PubMed ID: 19476350
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  • 7. A Comprehensive Docking and MM/GBSA Rescoring Study of Ligand Recognition upon Binding Antithrombin.
    Zhang X, Perez-Sanchez H, Lightstone FC.
    Curr Top Med Chem; 2017 Jun 30; 17(14):1631-1639. PubMed ID: 27852201
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  • 9. Virtual screening of PRK1 inhibitors: ensemble docking, rescoring using binding free energy calculation and QSAR model development.
    Slynko I, Scharfe M, Rumpf T, Eib J, Metzger E, Schüle R, Jung M, Sippl W.
    J Chem Inf Model; 2014 Jan 27; 54(1):138-50. PubMed ID: 24377786
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  • 10. Lead finder: an approach to improve accuracy of protein-ligand docking, binding energy estimation, and virtual screening.
    Stroganov OV, Novikov FN, Stroylov VS, Kulkov V, Chilov GG.
    J Chem Inf Model; 2008 Dec 27; 48(12):2371-85. PubMed ID: 19007114
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  • 11. Rescoring ligand docking poses.
    Zhong S, Zhang Y, Xiu Z.
    Curr Opin Drug Discov Devel; 2010 May 27; 13(3):326-34. PubMed ID: 20443166
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  • 12. Improving virtual screening results with MM/GBSA and MM/PBSA rescoring.
    Sahakyan H.
    J Comput Aided Mol Des; 2021 Jun 27; 35(6):731-736. PubMed ID: 33983518
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  • 13. Assessing the performance of the MM/PBSA and MM/GBSA methods. 6. Capability to predict protein-protein binding free energies and re-rank binding poses generated by protein-protein docking.
    Chen F, Liu H, Sun H, Pan P, Li Y, Li D, Hou T.
    Phys Chem Chem Phys; 2016 Aug 10; 18(32):22129-39. PubMed ID: 27444142
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  • 14. Comparison of virtual high-throughput screening methods for the identification of phosphodiesterase-5 inhibitors.
    Niinivehmas SP, Virtanen SI, Lehtonen JV, Postila PA, Pentikäinen OT.
    J Chem Inf Model; 2011 Jun 27; 51(6):1353-63. PubMed ID: 21591817
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  • 15. Assessing the performance of MM/PBSA and MM/GBSA methods. 5. Improved docking performance using high solute dielectric constant MM/GBSA and MM/PBSA rescoring.
    Sun H, Li Y, Shen M, Tian S, Xu L, Pan P, Guan Y, Hou T.
    Phys Chem Chem Phys; 2014 Oct 28; 16(40):22035-45. PubMed ID: 25205360
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  • 16. Rescoring docking hit lists for model cavity sites: predictions and experimental testing.
    Graves AP, Shivakumar DM, Boyce SE, Jacobson MP, Case DA, Shoichet BK.
    J Mol Biol; 2008 Mar 28; 377(3):914-34. PubMed ID: 18280498
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  • 17. Molecular dynamics-based virtual screening: accelerating the drug discovery process by high-performance computing.
    Ge H, Wang Y, Li C, Chen N, Xie Y, Xu M, He Y, Gu X, Wu R, Gu Q, Zeng L, Xu J.
    J Chem Inf Model; 2013 Oct 28; 53(10):2757-64. PubMed ID: 24001302
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  • 18. Binding estimation after refinement, a new automated procedure for the refinement and rescoring of docked ligands in virtual screening.
    Rastelli G, Degliesposti G, Del Rio A, Sgobba M.
    Chem Biol Drug Des; 2009 Mar 28; 73(3):283-6. PubMed ID: 19207463
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  • 20. Structure-based virtual screening approach for discovery of covalently bound ligands.
    Toledo Warshaviak D, Golan G, Borrelli KW, Zhu K, Kalid O.
    J Chem Inf Model; 2014 Jul 28; 54(7):1941-50. PubMed ID: 24932913
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