Dynameomics: Data-driven methods and models for utilizing large-scale protein structure repositories for improving fragment-based loop prediction

Protein Science

Volumn 23, Issue 11, 2014, Pages 1584-1595

  Rysavy, Steven J ^a   Beck, David A C ^b   Daggett, Valerie ^a,c  

^a UNIVERSITY OF WASHINGTON   (United States)

^b University of Washington   (United States)

^c University of Washington   (United States)

Author keywords

backbone dynamics; dynamic fragments; loop ensemble; loop prediction; model building; structure prediction

Indexed keywords

ARTICLE; CRYSTAL STRUCTURE; DATA BASE; DYNAMEOMICS; HIGH TEMPERATURE; MOLECULAR DYNAMICS; NUCLEAR OVERHAUSER EFFECT; PREDICTION; PRIORITY JOURNAL; PROTEIN DATA BANK; PROTEIN FOLDING; PROTEIN STRUCTURE; SEQUENCE HOMOLOGY; BIOLOGY; CHEMISTRY; METABOLISM; PROCEDURES; PROTEIN CONFORMATION; PROTEIN DATABASE; SEQUENCE ANALYSIS;

PROTEIN;

COMPUTATIONAL BIOLOGY; DATABASES, PROTEIN; MOLECULAR DYNAMICS SIMULATION; PROTEIN CONFORMATION; PROTEINS; SEQUENCE ANALYSIS, PROTEIN;

EID: 84928955013     PISSN: 09618368     EISSN: 1469896X     Source Type: Journal    
DOI: 10.1002/pro.2537     Document Type: Article

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