These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

131 related articles for article (PubMed ID: 20658338)

  • 41. Accurate prediction for atomic-level protein design and its application in diversifying the near-optimal sequence space.
    Fromer M; Yanover C
    Proteins; 2009 May; 75(3):682-705. PubMed ID: 19003998
    [TBL] [Abstract][Full Text] [Related]  

  • 42. Global and local prediction of protein folding rates based on sequence autocorrelation information.
    Xi L; Li S; Liu H; Li J; Lei B; Yao X
    J Theor Biol; 2010 Jun; 264(4):1159-68. PubMed ID: 20362588
    [TBL] [Abstract][Full Text] [Related]  

  • 43. On lattice protein structure prediction revisited.
    Dotu I; Cebrián M; Van Hentenryck P; Clote P
    IEEE/ACM Trans Comput Biol Bioinform; 2011; 8(6):1620-32. PubMed ID: 21358007
    [TBL] [Abstract][Full Text] [Related]  

  • 44. Lattice and off-lattice side chain models of protein folding: linear time structure prediction better than 86% of optimal.
    Hart WE; Istrail S
    J Comput Biol; 1997; 4(3):241-59. PubMed ID: 9278058
    [TBL] [Abstract][Full Text] [Related]  

  • 45. Energy optimization for off-lattice protein folding.
    Huang W; Chen M; Lü Z
    Phys Rev E Stat Nonlin Soft Matter Phys; 2006 Oct; 74(4 Pt 1):041907. PubMed ID: 17155096
    [TBL] [Abstract][Full Text] [Related]  

  • 46. Lattices for ab initio protein structure prediction.
    Pierri CL; De Grassi A; Turi A
    Proteins; 2008 Nov; 73(2):351-61. PubMed ID: 18433064
    [TBL] [Abstract][Full Text] [Related]  

  • 47. Effective hybrid approach for protein structure prediction in a two-dimensional Hydrophobic-Polar model.
    Yang CH; Lin YS; Chuang LY; Lin YD
    Comput Biol Med; 2019 Oct; 113():103397. PubMed ID: 31494431
    [TBL] [Abstract][Full Text] [Related]  

  • 48. Ab initio protein fold prediction using evolutionary algorithms: influence of design and control parameters on performance.
    Djurdjevic DP; Biggs MJ
    J Comput Chem; 2006 Aug; 27(11):1177-95. PubMed ID: 16752367
    [TBL] [Abstract][Full Text] [Related]  

  • 49. A quasi-physical algorithm for the structure optimization in an off-lattice protein model.
    Liu JF; Huang WQ
    Genomics Proteomics Bioinformatics; 2006 Feb; 4(1):61-6. PubMed ID: 16689704
    [TBL] [Abstract][Full Text] [Related]  

  • 50. Using multiple structure alignments, fast model building, and energetic analysis in fold recognition and homology modeling.
    Petrey D; Xiang Z; Tang CL; Xie L; Gimpelev M; Mitros T; Soto CS; Goldsmith-Fischman S; Kernytsky A; Schlessinger A; Koh IY; Alexov E; Honig B
    Proteins; 2003; 53 Suppl 6():430-5. PubMed ID: 14579332
    [TBL] [Abstract][Full Text] [Related]  

  • 51. A hybrid genetic-neural system for predicting protein secondary structure.
    Armano G; Mancosu G; Milanesi L; Orro A; Saba M; Vargiu E
    BMC Bioinformatics; 2005 Dec; 6 Suppl 4(Suppl 4):S3. PubMed ID: 16351752
    [TBL] [Abstract][Full Text] [Related]  

  • 52. Global stability of protein folding from an empirical free energy function.
    Ruiz-Blanco YB; Marrero-Ponce Y; Paz W; García Y; Salgado J
    J Theor Biol; 2013 Mar; 321():44-53. PubMed ID: 23313334
    [TBL] [Abstract][Full Text] [Related]  

  • 53. Lattice models for proteins reveal multiple folding nuclei for nucleation-collapse mechanism.
    Klimov DK; Thirumalai D
    J Mol Biol; 1998 Sep; 282(2):471-92. PubMed ID: 9735420
    [TBL] [Abstract][Full Text] [Related]  

  • 54. Novel use of a genetic algorithm for protein structure prediction: searching template and sequence alignment space.
    Contreras-Moreira B; Fitzjohn PW; Offman M; Smith GR; Bates PA
    Proteins; 2003; 53 Suppl 6():424-9. PubMed ID: 14579331
    [TBL] [Abstract][Full Text] [Related]  

  • 55. Protein folding: optimized sequences obtained by simulated breeding in a minimalist model.
    Ebeling M; Nadler W
    Biopolymers; 1997 Feb; 41(2):165-80. PubMed ID: 9004551
    [TBL] [Abstract][Full Text] [Related]  

  • 56. Computational design of a single amino acid sequence that can switch between two distinct protein folds.
    Ambroggio XI; Kuhlman B
    J Am Chem Soc; 2006 Feb; 128(4):1154-61. PubMed ID: 16433531
    [TBL] [Abstract][Full Text] [Related]  

  • 57. Protein threading by linear programming.
    Xu J; Li M; Lin G; Kim D; Xu Y
    Pac Symp Biocomput; 2003; ():264-75. PubMed ID: 12603034
    [TBL] [Abstract][Full Text] [Related]  

  • 58. Ab-initio prediction and reliability of protein structural genomics by PROPAINOR algorithm.
    Joshi RR; Jyothi S
    Comput Biol Chem; 2003 Jul; 27(3):241-52. PubMed ID: 12927100
    [TBL] [Abstract][Full Text] [Related]  

  • 59. Minimizing and learning energy functions for side-chain prediction.
    Yanover C; Schueler-Furman O; Weiss Y
    J Comput Biol; 2008 Sep; 15(7):899-911. PubMed ID: 18707538
    [TBL] [Abstract][Full Text] [Related]  

  • 60. Prelude and Fugue, predicting local protein structure, early folding regions and structural weaknesses.
    Kwasigroch JM; Rooman M
    Bioinformatics; 2006 Jul; 22(14):1800-2. PubMed ID: 16682423
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 7.