Predicting solvent accessibility: Higher accuracy using Bayesian statistics and optimized residue substitution classes

Proteins: Structure, Function and Genetics

Volumn 25, Issue 1, 1996, Pages 38-47

  Thompson, Michael J ^a   Goldstein, Richard A ^a  

^a UNIVERSITY OF MICHIGAN   (United States)

Author keywords

amino acid substitution; Bayesian statistics; information theory; protein structure prediction; solvent accessibility

Indexed keywords

GLOBULAR PROTEIN;

AMINO ACID SEQUENCE; AMINO ACID SUBSTITUTION; ARTICLE; BAYES THEOREM; PRIORITY JOURNAL; PROTEIN STRUCTURE; SEQUENCE HOMOLOGY; STATISTICS;

EID: 0029885547     PISSN: 08873585     EISSN: None     Source Type: Journal    
DOI: 10.1002/(SICI)1097-0134(199605)25:1<38::AID-PROT4>3.3.CO;2-H     Document Type: Article

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