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Journal Abstract Search

299 related items for PubMed ID: 12112688

  • 1. Local energy landscape flattening: parallel hyperbolic Monte Carlo sampling of protein folding.
    Zhang Y, Kihara D, Skolnick J.
    Proteins; 2002 Aug 01; 48(2):192-201. PubMed ID: 12112688
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  • 2. SPICKER: a clustering approach to identify near-native protein folds.
    Zhang Y, Skolnick J.
    J Comput Chem; 2004 Apr 30; 25(6):865-71. PubMed ID: 15011258
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  • 3. Lattice neural network minimization. Application of neural network optimization for locating the global-minimum conformations of proteins.
    Rabow AA, Scheraga HA.
    J Mol Biol; 1993 Aug 20; 232(4):1157-68. PubMed ID: 8371272
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  • 5. Use of residual dipolar couplings as restraints in ab initio protein structure prediction.
    Haliloglu T, Kolinski A, Skolnick J.
    Biopolymers; 2003 Dec 20; 70(4):548-62. PubMed ID: 14648765
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  • 9. A knowledge-based move set for protein folding.
    Chen WW, Yang JS, Shakhnovich EI.
    Proteins; 2007 Feb 15; 66(3):682-8. PubMed ID: 17143895
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  • 11. Ab initio computational modeling of loops in G-protein-coupled receptors: lessons from the crystal structure of rhodopsin.
    Mehler EL, Hassan SA, Kortagere S, Weinstein H.
    Proteins; 2006 Aug 15; 64(3):673-90. PubMed ID: 16729264
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  • 12. Progress in protein-protein docking: atomic resolution predictions in the CAPRI experiment using RosettaDock with an improved treatment of side-chain flexibility.
    Schueler-Furman O, Wang C, Baker D.
    Proteins; 2005 Aug 01; 60(2):187-94. PubMed ID: 15981249
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  • 13. TOUCHSTONE II: a new approach to ab initio protein structure prediction.
    Zhang Y, Kolinski A, Skolnick J.
    Biophys J; 2003 Aug 01; 85(2):1145-64. PubMed ID: 12885659
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  • 17. Local moves: an efficient algorithm for simulation of protein folding.
    Elofsson A, Le Grand SM, Eisenberg D.
    Proteins; 1995 Sep 01; 23(1):73-82. PubMed ID: 8539252
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