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Journal Abstract Search

238 related items for PubMed ID: 11948589

  • 21.
    ; . PubMed ID:
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  • 22. Biased probability Monte Carlo conformational searches and electrostatic calculations for peptides and proteins.
    Abagyan R, Totrov M.
    J Mol Biol; 1994 Jan 21; 235(3):983-1002. PubMed ID: 8289329
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  • 23.
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  • 24. Free energy determinants of secondary structure formation: I. alpha-Helices.
    Yang AS, Honig B.
    J Mol Biol; 1995 Sep 22; 252(3):351-65. PubMed ID: 7563056
    [Abstract] [Full Text] [Related]

  • 25. Database algorithm for generating protein backbone and side-chain co-ordinates from a C alpha trace application to model building and detection of co-ordinate errors.
    Holm L, Sander C.
    J Mol Biol; 1991 Mar 05; 218(1):183-94. PubMed ID: 2002501
    [Abstract] [Full Text] [Related]

  • 26. 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
    [Abstract] [Full Text] [Related]

  • 27. On the multiple-minima problem in the conformational analysis of polypeptides. IV. Application of the electrostatically driven Monte Carlo method to the 20-residue membrane-bound portion of melittin.
    Ripoll DR, Scheraga HA.
    Biopolymers; 1990 Aug 20; 30(1-2):165-76. PubMed ID: 2224048
    [Abstract] [Full Text] [Related]

  • 28. Monte Carlo studies of folding, dynamics, and stability in alpha-helices.
    Shental-Bechor D, Kirca S, Ben-Tal N, Haliloglu T.
    Biophys J; 2005 Apr 20; 88(4):2391-402. PubMed ID: 15653741
    [Abstract] [Full Text] [Related]

  • 29. On the multiple-minima problem in the conformational analysis of polypeptides. V. Application of the self-consistent electrostatic field and the electrostatically driven Monte Carlo methods to bovine pancreatic trypsin inhibitor.
    Ripoll DR, Piela L, Vásquez M, Scheraga HA.
    Proteins; 1991 Apr 20; 10(3):188-98. PubMed ID: 1715563
    [Abstract] [Full Text] [Related]

  • 30. A simplified amino acid potential for use in structure predictions of proteins.
    Wallqvist A, Ullner M.
    Proteins; 1994 Mar 20; 18(3):267-80. PubMed ID: 8202468
    [Abstract] [Full Text] [Related]

  • 31. Algorithmic approach to quantifying the hydrophobic force contribution in protein folding.
    Backofen R, Will S, Clote P.
    Pac Symp Biocomput; 2000 Mar 20; ():95-106. PubMed ID: 10902160
    [Abstract] [Full Text] [Related]

  • 32. Monte Carlo minimization with thermalization for global optimization of polypeptide conformations in cartesian coordinate space.
    Caflisch A, Niederer P, Anliker M.
    Proteins; 1992 Sep 20; 14(1):102-9. PubMed ID: 1409559
    [Abstract] [Full Text] [Related]

  • 33. Structural mining: self-consistent design on flexible protein-peptide docking and transferable binding affinity potential.
    Liu Z, Dominy BN, Shakhnovich EI.
    J Am Chem Soc; 2004 Jul 14; 126(27):8515-28. PubMed ID: 15238009
    [Abstract] [Full Text] [Related]

  • 34. Proteins wriggle.
    Cahill M, Cahill S, Cahill K.
    Biophys J; 2002 May 14; 82(5):2665-70. PubMed ID: 11964253
    [Abstract] [Full Text] [Related]

  • 35.
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  • 36.
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  • 37. A refined model of the thyrotropin-releasing hormone (TRH) receptor binding pocket. Novel mixed mode Monte Carlo/stochastic dynamics simulations of the complex between TRH and TRH receptor.
    Laakkonen LJ, Guarnieri F, Perlman JH, Gershengorn MC, Osman R.
    Biochemistry; 1996 Jun 18; 35(24):7651-63. PubMed ID: 8672466
    [Abstract] [Full Text] [Related]

  • 38.
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  • 39. Physics-based protein-structure prediction using a hierarchical protocol based on the UNRES force field: assessment in two blind tests.
    Ołdziej S, Czaplewski C, Liwo A, Chinchio M, Nanias M, Vila JA, Khalili M, Arnautova YA, Jagielska A, Makowski M, Schafroth HD, Kaźmierkiewicz R, Ripoll DR, Pillardy J, Saunders JA, Kang YK, Gibson KD, Scheraga HA.
    Proc Natl Acad Sci U S A; 2005 May 24; 102(21):7547-52. PubMed ID: 15894609
    [Abstract] [Full Text] [Related]

  • 40. 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
    [Abstract] [Full Text] [Related]

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