Using Stochastic Roadmap Simulation to predict experimental quantities in protein folding kinetics: Folding rates and phi-values

Journal of Computational Biology

Volumn 14, Issue 5, 2007, Pages 578-593

  Chiang, Tsung Han ^a   Apaydin, Mehmet Serkan ^b   Brutlag, Douglas L ^c   Hsu, David ^a   Latombe, Jean Claude ^d  

^a NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

^b Duke University   (United States)

^c STANFORD UNIVERSITY   (United States)

^d Stanford University   (United States)

Author keywords

Folding rate; G model; Phi values; Protein folding kinetics; Transition state ensemble

Indexed keywords

ACCURACY; CHEMICAL REACTION KINETICS; COMPUTER PREDICTION; COMPUTER SIMULATION; CONFERENCE PAPER; MATHEMATICAL ANALYSIS; NONHUMAN; PRIORITY JOURNAL; PROTEIN FOLDING; QUANTITATIVE ANALYSIS; STOCHASTIC MODEL; STOCHASTIC ROADMAP SIMULATION METHOD; VALIDATION PROCESS;

COMPUTER SIMULATION; CRYSTALLOGRAPHY, X-RAY; KINETICS; MODELS, CHEMICAL; PREDICTIVE VALUE OF TESTS; PROTEIN CONFORMATION; PROTEIN FOLDING; STOCHASTIC PROCESSES;

EID: 34447281773     PISSN: 10665277     EISSN: None     Source Type: Journal    
DOI: 10.1089/cmb.2007.R004     Document Type: Conference Paper

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