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Journal Abstract Search

154 related items for PubMed ID: 15217818

  • 1. Developing optimal non-linear scoring function for protein design.
    Hu C, Li X, Liang J.
    Bioinformatics; 2004 Nov 22; 20(17):3080-98. PubMed ID: 15217818
    [Abstract] [Full Text] [Related]

  • 2. Optimal nonlinear scoring function for global fitness landscape of protein design.
    Hu C, Li X, Liang J.
    Conf Proc IEEE Eng Med Biol Soc; 2004 Nov 22; 2004():2828-31. PubMed ID: 17270866
    [Abstract] [Full Text] [Related]

  • 3. Solving and analyzing side-chain positioning problems using linear and integer programming.
    Kingsford CL, Chazelle B, Singh M.
    Bioinformatics; 2005 Apr 01; 21(7):1028-36. PubMed ID: 15546935
    [Abstract] [Full Text] [Related]

  • 4. The family feud: do proteins with similar structures fold via the same pathway?
    Zarrine-Afsar A, Larson SM, Davidson AR.
    Curr Opin Struct Biol; 2005 Feb 01; 15(1):42-9. PubMed ID: 15718132
    [Abstract] [Full Text] [Related]

  • 5. Comparison of probabilistic combination methods for protein secondary structure prediction.
    Liu Y, Carbonell J, Klein-Seetharaman J, Gopalakrishnan V.
    Bioinformatics; 2004 Nov 22; 20(17):3099-107. PubMed ID: 15217817
    [Abstract] [Full Text] [Related]

  • 6. RONN: the bio-basis function neural network technique applied to the detection of natively disordered regions in proteins.
    Yang ZR, Thomson R, McNeil P, Esnouf RM.
    Bioinformatics; 2005 Aug 15; 21(16):3369-76. PubMed ID: 15947016
    [Abstract] [Full Text] [Related]

  • 7. Identification of function-associated loop motifs and application to protein function prediction.
    Espadaler J, Querol E, Aviles FX, Oliva B.
    Bioinformatics; 2006 Sep 15; 22(18):2237-43. PubMed ID: 16870939
    [Abstract] [Full Text] [Related]

  • 8. Application of a simple likelihood ratio approximant to protein sequence classification.
    Kaján L, Kertész-Farkas A, Franklin D, Ivanova N, Kocsor A, Pongor S.
    Bioinformatics; 2006 Dec 01; 22(23):2865-9. PubMed ID: 17090576
    [Abstract] [Full Text] [Related]

  • 9. FSSA: a novel method for identifying functional signatures from structural alignments.
    Wang K, Samudrala R.
    Bioinformatics; 2005 Jul 01; 21(13):2969-77. PubMed ID: 15860561
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  • 13. A new approach to prediction of short-range conformational propensities in proteins.
    Gront D, Kolinski A.
    Bioinformatics; 2005 Apr 01; 21(7):981-7. PubMed ID: 15509604
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  • 14. On simplified global nonlinear function for fitness landscape: a case study of inverse protein folding.
    Xu Y, Hu C, Dai Y, Liang J.
    PLoS One; 2014 Apr 01; 9(8):e104403. PubMed ID: 25110986
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  • 16. Less is more: towards an optimal universal description of protein folds.
    Szustakowski JD, Kasif S, Weng Z.
    Bioinformatics; 2005 Sep 01; 21 Suppl 2():ii66-71. PubMed ID: 16204127
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  • 17. Distinguishing native conformations of proteins from decoys with an effective free energy estimator based on the OPLS all-atom force field and the Surface Generalized Born solvent model.
    Felts AK, Gallicchio E, Wallqvist A, Levy RM.
    Proteins; 2002 Aug 01; 48(2):404-22. PubMed ID: 12112706
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  • 20. Comparative assessment of scoring functions on a diverse test set.
    Cheng T, Li X, Li Y, Liu Z, Wang R.
    J Chem Inf Model; 2009 Apr 01; 49(4):1079-93. PubMed ID: 19358517
    [Abstract] [Full Text] [Related]

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