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Journal Abstract Search

129 related items for PubMed ID: 8674687

  • 21. X-SITE: use of empirically derived atomic packing preferences to identify favourable interaction regions in the binding sites of proteins.
    Laskowski RA, Thornton JM, Humblet C, Singh J.
    J Mol Biol; 1996 May 31; 259(1):175-201. PubMed ID: 8648645
    [Abstract] [Full Text] [Related]

  • 22. Improving homology models for protein-ligand binding sites.
    Kauffman C, Rangwala H, Karypis G.
    Comput Syst Bioinformatics Conf; 2008 May 31; 7():211-22. PubMed ID: 19642282
    [Abstract] [Full Text] [Related]

  • 23. Structural model and ligand interactions of the Xanthomonas axonopodis pv. citri oligopeptide-binding protein.
    Moutran A, Balan A, Ferreira LC, Giorgetti A, Tramontano A, Ferreira RC.
    Genet Mol Res; 2007 Dec 11; 6(4):1169-77. PubMed ID: 18273810
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  • 26. 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 Dec 11; 2018():3502514. PubMed ID: 30627209
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  • 28. Beyond structural genomics: computational approaches for the identification of ligand binding sites in protein structures.
    Ghersi D, Sanchez R.
    J Struct Funct Genomics; 2011 Jul 11; 12(2):109-17. PubMed ID: 21537951
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  • 29. The architecture of protein-ligand binding sites revealed through template-assisted intramolecular peptide-peptide interactions.
    Yu C, Malesevic M, Jahreis G, Schutkowski M, Fischer G, Schiene-Fischer C.
    Angew Chem Int Ed Engl; 2005 Feb 18; 44(9):1408-12. PubMed ID: 15666425
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  • 30. Specificity of trypsin and chymotrypsin: loop-motion-controlled dynamic correlation as a determinant.
    Ma W, Tang C, Lai L.
    Biophys J; 2005 Aug 18; 89(2):1183-93. PubMed ID: 15923233
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  • 31. Attempts to convert chymotrypsin to trypsin.
    Venekei I, Szilágyi L, Gráf L, Rutter WJ.
    FEBS Lett; 1996 Jan 29; 379(2):143-7. PubMed ID: 8635580
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  • 32. Stochastic roadmap simulation for the study of ligand-protein interactions.
    Apaydin MS, Guestrin CE, Varma C, Brutlag DL, Latombe JC.
    Bioinformatics; 2002 Jan 29; 18 Suppl 2():S18-26. PubMed ID: 12385979
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  • 33. EmPLiCS: an empirical approach for structure-based design of natural peptide drugs.
    Ishida H, Shirai T, Matsuda Y, Kato Y, Ohno M, Isaji T, Yamane T.
    J Biochem; 2000 Oct 29; 128(4):561-74. PubMed ID: 11011138
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  • 34. The impact of amino acid side chain mutations in conformational design of peptides and proteins.
    Laufer B, Frank AO, Chatterjee J, Neubauer T, Mas-Moruno C, Kummerlöwe G, Kessler H.
    Chemistry; 2010 May 10; 16(18):5385-90. PubMed ID: 20358563
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  • 36. FlexE: efficient molecular docking considering protein structure variations.
    Claussen H, Buning C, Rarey M, Lengauer T.
    J Mol Biol; 2001 Apr 27; 308(2):377-95. PubMed ID: 11327774
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  • 37. Essential motions and energetic contributions of individual residues in a peptide bound to an SH3 domain.
    Kolafa J, Perram JW, Bywater RP.
    Biophys J; 2000 Aug 27; 79(2):646-55. PubMed ID: 10919999
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  • 38. The use of protein-ligand interaction fingerprints in docking.
    Brewerton SC.
    Curr Opin Drug Discov Devel; 2008 May 27; 11(3):356-64. PubMed ID: 18428089
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  • 40. Flexible ligand docking with Glide.
    Repasky MP, Shelley M, Friesner RA.
    Curr Protoc Bioinformatics; 2007 Jun 27; Chapter 8():Unit 8.12. PubMed ID: 18428795
    [Abstract] [Full Text] [Related]

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