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 *

84 related articles for article (PubMed ID: 15139043)

  • 1. Cluster distance geometry of polypeptide chains.
    Crippen GM
    J Comput Chem; 2004 Jul; 25(10):1305-12. PubMed ID: 15139043
    [TBL] [Abstract][Full Text] [Related]  

  • 2. The sampling properties of some distance geometry algorithms applied to unconstrained polypeptide chains: a study of 1830 independently computed conformations.
    Havel TF
    Biopolymers; 1990; 29(12-13):1565-85. PubMed ID: 2386807
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Statistical studies of flexible nonhomogeneous polypeptide chains.
    Kundrotas PJ
    Biomacromolecules; 2005; 6(6):3010-7. PubMed ID: 16283721
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Statistical mechanics of protein folding by cluster distance geometry.
    Crippen GM
    Biopolymers; 2004 Oct; 75(3):278-89. PubMed ID: 15378485
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Recognizing protein folds by cluster distance geometry.
    Crippen GM
    Proteins; 2005 Jul; 60(1):82-9. PubMed ID: 15861390
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Native atomic burials, supplemented by physically motivated hydrogen bond constraints, contain sufficient information to determine the tertiary structure of small globular proteins.
    Pereira de Araújo AF; Gomes AL; Bursztyn AA; Shakhnovich EI
    Proteins; 2008 Feb; 70(3):971-83. PubMed ID: 17847091
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A distance geometry heuristic for expanding the range of geometries sampled during conformational search.
    Izrailev S; Zhu F; Agrafiotis DK
    J Comput Chem; 2006 Dec; 27(16):1962-9. PubMed ID: 17031897
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Separation of time scale and coupling in the motion governed by the coarse-grained and fine degrees of freedom in a polypeptide backbone.
    Murarka RK; Liwo A; Scheraga HA
    J Chem Phys; 2007 Oct; 127(15):155103. PubMed ID: 17949219
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Quantifying polypeptide conformational space: sensitivity to conformation and ensemble definition.
    Sullivan DC; Lim C
    J Phys Chem B; 2006 Aug; 110(33):16707-17. PubMed ID: 16913810
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Conformational sampling by self-organization.
    Xu H; Izrailev S; Agrafiotis DK
    J Chem Inf Comput Sci; 2003; 43(4):1186-91. PubMed ID: 12870910
    [TBL] [Abstract][Full Text] [Related]  

  • 11. The packing density in proteins: standard radii and volumes.
    Tsai J; Taylor R; Chothia C; Gerstein M
    J Mol Biol; 1999 Jul; 290(1):253-66. PubMed ID: 10388571
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Calculated chemical shifts as a fine tool of conformational analysis: an unambiguous solution for haouamine alkaloids.
    Belostotskii AM
    J Org Chem; 2008 Aug; 73(15):5723-31. PubMed ID: 18597531
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A statistical measure of association and a series expansion of chain conformations.
    Crippen GM
    Comput Biol Chem; 2009 Oct; 33(5):357-60. PubMed ID: 19699687
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Protein structure prediction aided by geometrical and probabilistic constraints.
    Porwal G; Jain S; Babu SD; Singh D; Nanavati H; Noronha S
    J Comput Chem; 2007 Sep; 28(12):1943-52. PubMed ID: 17450548
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Protein refolding in silico with atom-based statistical potentials and conformational search using a simple genetic algorithm.
    Fang Q; Shortle D
    J Mol Biol; 2006 Jun; 359(5):1456-67. PubMed ID: 16678202
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Methods of translating NMR proton distances into their corresponding heavy atom distances for protein structure prediction with limited experimental data.
    Hur O; Karplus K
    Protein Eng Des Sel; 2005 Dec; 18(12):597-605. PubMed ID: 16246822
    [TBL] [Abstract][Full Text] [Related]  

  • 17. PepDist: a new framework for protein-peptide binding prediction based on learning peptide distance functions.
    Hertz T; Yanover C
    BMC Bioinformatics; 2006 Mar; 7 Suppl 1(Suppl 1):S3. PubMed ID: 16723006
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Prediction of protein loop conformations using multiscale modeling methods with physical energy scoring functions.
    Olson MA; Feig M; Brooks CL
    J Comput Chem; 2008 Apr; 29(5):820-31. PubMed ID: 17876760
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Comparing atomistic simulation data with the NMR experiment: how much can NOEs actually tell us?
    Zagrovic B; van Gunsteren WF
    Proteins; 2006 Apr; 63(1):210-8. PubMed ID: 16425239
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Secondary structure inducing potential of beta-amino acids: torsion angle clustering facilitates comparison and analysis of the conformation during MD trajectories.
    Guthöhrlein EW; Malesević M; Majer Z; Sewald N
    Biopolymers; 2007; 88(6):829-39. PubMed ID: 17922495
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 5.