Modeling intrinsically disordered proteins with Bayesian statistics

Journal of the American Chemical Society

Volumn 132, Issue 42, 2010, Pages 14919-14927

  Fisher, Charles K ^a   Huang, Austin ^b,c   Stultz, Collin M ^a,b  

^a HARVARD UNIVERSITY   (United States)

^b USA   (United States)

^c BROWN UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AGGREGATION PROPERTY; BAYESIAN; BAYESIAN STATISTICS; CONFORMATIONAL ENSEMBLE; CONFORMATIONAL PROPERTIES; DISORDERED PROTEINS; ENSEMBLE AVERAGES; ERROR MEASURES; EXPERIMENTAL DATA; EXPERIMENTAL MEASUREMENTS; ISOFORMS; NUMBER OF DEGREES OF FREEDOM; PROBABILITY DENSITIES; RELATIVE STABILITIES; TAU PROTEINS; THEORETICAL PREDICTION;

BAYESIAN NETWORKS; PROBABILITY DENSITY FUNCTION; PROTEINS;

UNCERTAINTY ANALYSIS;

ISOPROTEIN; METENKEPHALIN; PROTEIN; TAU PROTEIN;

ARTICLE; BAYESIAN LEARNING; CALCULATION; MOLECULAR WEIGHT; PROTEIN AGGREGATION; PROTEIN ANALYSIS; PROTEIN CONFORMATION; THEORETICAL MODEL;

BAYES THEOREM; LIKELIHOOD FUNCTIONS; MODELS, MOLECULAR; PROTEINS;

EID: 77958510026     PISSN: 00027863     EISSN: 15205126     Source Type: Journal    
DOI: 10.1021/ja105832g     Document Type: Article

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