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 *

114 related articles for article (PubMed ID: 7662113)

  • 1. Monte Carlo simulation studies on the prediction of protein folding types from amino acid composition. II. Correlative effect.
    Zhang CT; Chou KC
    J Protein Chem; 1995 May; 14(4):251-8. PubMed ID: 7662113
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Monte Carlo simulation studies on the prediction of protein folding types from amino acid composition.
    Zhang CT; Chou KC
    Biophys J; 1992 Dec; 63(6):1523-9. PubMed ID: 1297323
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. Prediction of secondary structural content of proteins from their amino acid composition alone. II. The paradox with secondary structural class.
    Eisenhaber F; Frömmel C; Argos P
    Proteins; 1996 Jun; 25(2):169-79. PubMed ID: 8811733
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Predicting protein folding types by distance functions that make allowances for amino acid interactions.
    Chou KC; Zhang CT
    J Biol Chem; 1994 Sep; 269(35):22014-20. PubMed ID: 8071322
    [TBL] [Abstract][Full Text] [Related]  

  • 6. An analysis of protein folding type prediction by seed-propagated sampling and jackknife test.
    Zhang CT; Chou KC
    J Protein Chem; 1995 Oct; 14(7):583-93. PubMed ID: 8561854
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Monte Carlo simulations of protein folding. II. Application to protein A, ROP, and crambin.
    Kolinski A; Skolnick J
    Proteins; 1994 Apr; 18(4):353-66. PubMed ID: 8208727
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A Monte Carlo sampling method of amino acid sequences adaptable to given main-chain atoms in the proteins.
    Ogata K; Soejima K; Higo J
    J Biochem; 2006 Oct; 140(4):543-52. PubMed ID: 16945938
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Prediction of secondary structural content of proteins from their amino acid composition alone. I. New analytic vector decomposition methods.
    Eisenhaber F; Imperiale F; Argos P; Frömmel C
    Proteins; 1996 Jun; 25(2):157-68. PubMed ID: 8811732
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Biased fragment distribution in MC simulation of protein folding.
    Martineau E; L'Heureux PJ; Gunn JR
    J Comput Chem; 2004 Nov; 25(15):1895-903. PubMed ID: 15378533
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Improving protein structure prediction with model-based search.
    Brunette TJ; Brock O
    Bioinformatics; 2005 Jun; 21 Suppl 1():i66-74. PubMed ID: 15961500
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Computer simulations of protein folding with a small number of distance restraints.
    Sikorski A; Kolinski A; Skolnick J
    Acta Biochim Pol; 2002; 49(3):683-92. PubMed ID: 12422238
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A new computational approach for real protein folding prediction.
    Lu BZ; Wang BH; Chen WZ; Wang CX
    Protein Eng; 2003 Sep; 16(9):659-63. PubMed ID: 14560051
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Biopolymer structure simulation and optimization via fragment regrowth Monte Carlo.
    Zhang J; Kou SC; Liu JS
    J Chem Phys; 2007 Jun; 126(22):225101. PubMed ID: 17581081
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Fast protein structure prediction using Monte Carlo simulations with modal moves.
    Carnevali P; Tóth G; Toubassi G; Meshkat SN
    J Am Chem Soc; 2003 Nov; 125(47):14244-5. PubMed ID: 14624550
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Using robotics to fold proteins and dock ligands.
    Brutlag D; Apaydin S; Guestrin C; Hsu D; Varma C; Singh A; Latombe JC
    Bioinformatics; 2002; 18 Suppl 2():S74. PubMed ID: 12385986
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Folding small proteins via annealing stochastic approximation Monte Carlo.
    Cheon S; Liang F
    Biosystems; 2011 Sep; 105(3):243-9. PubMed ID: 21679746
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A new approach to predicting protein folding types.
    Chou KC; Zhang CT
    J Protein Chem; 1993 Apr; 12(2):169-78. PubMed ID: 8489703
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Significance of conformational biases in Monte Carlo simulations of protein folding: lessons from Metropolis-Hastings approach.
    Przytycka T
    Proteins; 2004 Nov; 57(2):338-44. PubMed ID: 15340921
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Prediction of protein homo-oligomer types by pseudo amino acid composition: Approached with an improved feature extraction and Naive Bayes Feature Fusion.
    Zhang SW; Pan Q; Zhang HC; Shao ZC; Shi JY
    Amino Acids; 2006 Jun; 30(4):461-8. PubMed ID: 16773245
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.