The s2D method: Simultaneous sequence-based prediction of the statistical populations of ordered and disordered regions in proteins

Journal of Molecular Biology

Volumn 427, Issue 4, 2015, Pages 982-996

  Sormanni, Pietro ^a   Camilloni, Carlo ^a   Fariselli, Piero ^b   Vendruscolo, Michele ^a  

^a UNIVERSITY OF CAMBRIDGE   (United Kingdom)

^b UNIVERSITY OF BOLOGNA   (Italy)

Author keywords

alpha helix; beta sheet; intrinsically disordered proteins; random coil

Indexed keywords

PROTEOME;

AMINO ACID SEQUENCE; ARTICLE; MATHEMATICAL COMPUTING; MOLECULAR DYNAMICS; PREDICTION; PRIORITY JOURNAL; PROTEIN SECONDARY STRUCTURE; PROTON NUCLEAR MAGNETIC RESONANCE; QUANTITATIVE ANALYSIS; STATISTICAL ANALYSIS; VALIDATION STUDY; ALGORITHM; BIOLOGY; CHEMICAL STRUCTURE; EVALUATION STUDY; NUCLEAR MAGNETIC RESONANCE; PROCEDURES; PROTEIN DATABASE; PROTEIN FOLDING; PROTEIN TERTIARY STRUCTURE; SEQUENCE ANALYSIS;

ALGORITHMS; AMINO ACID SEQUENCE; COMPUTATIONAL BIOLOGY; DATABASES, PROTEIN; MODELS, MOLECULAR; NUCLEAR MAGNETIC RESONANCE, BIOMOLECULAR; PROTEIN FOLDING; PROTEIN STRUCTURE, SECONDARY; PROTEIN STRUCTURE, TERTIARY; SEQUENCE ANALYSIS, PROTEIN;

EID: 84922341947     PISSN: 00222836     EISSN: 10898638     Source Type: Journal    
DOI: 10.1016/j.jmb.2014.12.007     Document Type: Article

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