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PUBMED FOR HANDHELDS

Journal Abstract Search


3223 related items for PubMed ID: 19003998

  • 1. Accurate prediction for atomic-level protein design and its application in diversifying the near-optimal sequence space.
    Fromer M, Yanover C.
    Proteins; 2009 May 15; 75(3):682-705. PubMed ID: 19003998
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  • 2. Analysis of sequence-reactivity space for protein-protein interactions.
    Li J, Yi Z, Laskowski MC, Laskowski M, Bailey-Kellogg C.
    Proteins; 2005 Feb 15; 58(3):661-71. PubMed ID: 15624216
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  • 3. Automated design of specificity in molecular recognition.
    Havranek JJ, Harbury PB.
    Nat Struct Biol; 2003 Jan 15; 10(1):45-52. PubMed ID: 12459719
    [Abstract] [Full Text] [Related]

  • 4. Ab initio prediction of the three-dimensional structure of a de novo designed protein: a double-blind case study.
    Klepeis JL, Wei Y, Hecht MH, Floudas CA.
    Proteins; 2005 Feb 15; 58(3):560-70. PubMed ID: 15609306
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  • 5. Automatic protein design with all atom force-fields by exact and heuristic optimization.
    Wernisch L, Hery S, Wodak SJ.
    J Mol Biol; 2000 Aug 18; 301(3):713-36. PubMed ID: 10966779
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  • 8. Another look at the conditions for the extraction of protein knowledge-based potentials.
    Betancourt MR.
    Proteins; 2009 Jul 18; 76(1):72-85. PubMed ID: 19089977
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  • 9. Estimating quality of template-based protein models by alignment stability.
    Chen H, Kihara D.
    Proteins; 2008 May 15; 71(3):1255-74. PubMed ID: 18041762
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  • 10. Protein structure prediction based on sequence similarity.
    Jaroszewski L.
    Methods Mol Biol; 2009 May 15; 569():129-56. PubMed ID: 19623489
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  • 11. Accurate prediction of stability changes in protein mutants by combining machine learning with structure based computational mutagenesis.
    Masso M, Vaisman II.
    Bioinformatics; 2008 Sep 15; 24(18):2002-9. PubMed ID: 18632749
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  • 14. Improving protein structure prediction with model-based search.
    Brunette TJ, Brock O.
    Bioinformatics; 2005 Jun 15; 21 Suppl 1():i66-74. PubMed ID: 15961500
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  • 15. Improved Pruning algorithms and Divide-and-Conquer strategies for Dead-End Elimination, with application to protein design.
    Georgiev I, Lilien RH, Donald BR.
    Bioinformatics; 2006 Jul 15; 22(14):e174-83. PubMed ID: 16873469
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  • 16. A new approach to protein fold recognition.
    Jones DT, Taylor WR, Thornton JM.
    Nature; 1992 Jul 02; 358(6381):86-9. PubMed ID: 1614539
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  • 20. Selecting sequences that fold into a defined 3D structure: A new approach for protein design based on molecular dynamics and energetics.
    Morra G, Baragli C, Colombo G.
    Biophys Chem; 2010 Feb 02; 146(2-3):76-84. PubMed ID: 19926206
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