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 *

184 related articles for article (PubMed ID: 23045636)

  • 1. De novo prediction of protein folding pathways and structure using the principle of sequential stabilization.
    Adhikari AN; Freed KF; Sosnick TR
    Proc Natl Acad Sci U S A; 2012 Oct; 109(43):17442-7. PubMed ID: 23045636
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A hybrid MD-kMC algorithm for folding proteins in explicit solvent.
    Peter EK; Shea JE
    Phys Chem Chem Phys; 2014 Apr; 16(14):6430-40. PubMed ID: 24499973
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Mimicking the folding pathway to improve homology-free protein structure prediction.
    DeBartolo J; Colubri A; Jha AK; Fitzgerald JE; Freed KF; Sosnick TR
    Proc Natl Acad Sci U S A; 2009 Mar; 106(10):3734-9. PubMed ID: 19237560
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Dynamic Monte Carlo simulations of a new lattice model of globular protein folding, structure and dynamics.
    Skolnick J; Kolinski A
    J Mol Biol; 1991 Sep; 221(2):499-531. PubMed ID: 1920430
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Nativelike topology assembly of small proteins using predicted restraints in Monte Carlo folding simulations.
    Ortiz AR; Kolinski A; Skolnick J
    Proc Natl Acad Sci U S A; 1998 Feb; 95(3):1020-5. PubMed ID: 9448278
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Contact order and ab initio protein structure prediction.
    Bonneau R; Ruczinski I; Tsai J; Baker D
    Protein Sci; 2002 Aug; 11(8):1937-44. PubMed ID: 12142448
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Simplified protein models: predicting folding pathways and structure using amino acid sequences.
    Adhikari AN; Freed KF; Sosnick TR
    Phys Rev Lett; 2013 Jul; 111(2):028103. PubMed ID: 23889448
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Efficient traversal of beta-sheet protein folding pathways using ensemble models.
    Shenker S; O'Donnell CW; Devadas S; Berger B; Waldispühl J
    J Comput Biol; 2011 Nov; 18(11):1635-47. PubMed ID: 21958108
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Validation of DBFOLD: An efficient algorithm for computing folding pathways of complex proteins.
    Bitran A; Jacobs WM; Shakhnovich E
    PLoS Comput Biol; 2020 Nov; 16(11):e1008323. PubMed ID: 33196646
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Protein conformational transitions coupled to binding in molecular recognition of unstructured proteins: deciphering the effect of intermolecular interactions on computational structure prediction of the p27Kip1 protein bound to the cyclin A-cyclin-dependent kinase 2 complex.
    Verkhivker GM
    Proteins; 2005 Feb; 58(3):706-16. PubMed ID: 15609350
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Non-native interactions play an effective role in protein folding dynamics.
    Faísca PF; Nunes A; Travasso RD; Shakhnovich EI
    Protein Sci; 2010 Nov; 19(11):2196-209. PubMed ID: 20836137
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Constrained proper sampling of conformations of transition state ensemble of protein folding.
    Lin M; Zhang J; Lu HM; Chen R; Liang J
    J Chem Phys; 2011 Feb; 134(7):075103. PubMed ID: 21341875
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Factors governing the foldability of proteins.
    Klimov DK; Thirumalai D
    Proteins; 1996 Dec; 26(4):411-41. PubMed ID: 8990496
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Kinetics of protein folding. A lattice model study of the requirements for folding to the native state.
    Sali A; Shakhnovich E; Karplus M
    J Mol Biol; 1994 Feb; 235(5):1614-36. PubMed ID: 8107095
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Monte Carlo simulations of protein folding. I. Lattice model and interaction scheme.
    Kolinski A; Skolnick J
    Proteins; 1994 Apr; 18(4):338-52. PubMed ID: 8208726
    [TBL] [Abstract][Full Text] [Related]  

  • 16. De novo and inverse folding predictions of protein structure and dynamics.
    Godzik A; Kolinski A; Skolnick J
    J Comput Aided Mol Des; 1993 Aug; 7(4):397-438. PubMed ID: 8229093
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A kMC-MD method with generalized move-sets for the simulation of folding of α-helical and β-stranded peptides.
    Peter EK; Pivkin IV; Shea JE
    J Chem Phys; 2015 Apr; 142(14):144903. PubMed ID: 25877593
    [TBL] [Abstract][Full Text] [Related]  

  • 18. How robust are protein folding simulations with respect to force field parameterization?
    Piana S; Lindorff-Larsen K; Shaw DE
    Biophys J; 2011 May; 100(9):L47-9. PubMed ID: 21539772
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Combined multiple sequence reduced protein model approach to predict the tertiary structure of small proteins.
    Ortiz AR; Kolinski A; Skolnick J
    Pac Symp Biocomput; 1998; ():377-88. PubMed ID: 9697197
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Use of quantitative structure-property relationships to predict the folding ability of model proteins.
    Dinner AR; So SS; Karplus M
    Proteins; 1998 Nov; 33(2):177-203. PubMed ID: 9779787
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.