Protein structure prediction: Combining de novo modeling with sparse experimental data

Journal of Computational Chemistry

Volumn 28, Issue 10, 2007, Pages 1668-1676

  Latek, Dorota ^a   Ekonomiuk, Dariusz ^a,b   Kolinski, Andrzej ^a  

^a UNIVERSITY OF WARSAW   (Poland)

^b UNIVERSITY OF ZURICH   (Switzerland)

Author keywords

Chemical shifts; De novo protein folding; Monte Carlo simulations; Protein structure prediction; Reduced models

Indexed keywords

CHEMICAL SHIFT; COMPUTER SIMULATION; MOLECULAR BIOLOGY; MOLECULAR STRUCTURE; MONTE CARLO METHODS;

DE NOVO PROTEIN FOLDING; PROTEIN STRUCTURE PREDICTION; REDUCED MODELS;

PROTEIN FOLDING;

PROTEIN;

ALGORITHM; ARTICLE; CHEMICAL STRUCTURE; CHEMISTRY; COMPUTER PROGRAM; COMPUTER SIMULATION; NUCLEAR MAGNETIC RESONANCE SPECTROSCOPY; PROTEIN FOLDING; PROTEIN SECONDARY STRUCTURE;

ALGORITHMS; COMPUTER SIMULATION; MAGNETIC RESONANCE SPECTROSCOPY; MODELS, MOLECULAR; PROTEIN FOLDING; PROTEIN STRUCTURE, SECONDARY; PROTEINS; SOFTWARE;

EID: 34547359723     PISSN: 01928651     EISSN: 1096987X     Source Type: Journal    
DOI: 10.1002/jcc.20657     Document Type: Article

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