A generative, probabilistic model of local protein structure

Proceedings of the National Academy of Sciences of the United States of America

Volumn 105, Issue 26, 2008, Pages 8932-8937

  Boomsma, Wouter ^a   Mardia, Kanti V ^b   Taylor, Charles C ^b   Ferkinghoff Borg, Jesper ^c   Krogh, Anders ^a   Hamelryck, Thomas ^a  

^a UNIVERSITY OF COPENHAGEN   (Denmark)

^b UNIVERSITY OF LEEDS   (United Kingdom)

^c TECHNICAL UNIVERSITY OF DENMARK   (Denmark)

Author keywords

Bayesian network; Conformational sampling; Directional statistics; Probabilistic model; TorusDBN

Indexed keywords

ARTICLE; BAYES THEOREM; CONFORMATION; MOLECULAR MODEL; PRIORITY JOURNAL; PROBABILITY; PROTEIN STRUCTURE; STATISTICAL MODEL; CHEMICAL STRUCTURE; CHEMISTRY; PROTEIN MOTIF;

PROTEIN;

AMINO ACID MOTIFS; MODELS, MOLECULAR; MODELS, STATISTICAL; PROTEINS;

EID: 48249155051     PISSN: 00278424     EISSN: 10916490     Source Type: Journal    
DOI: 10.1073/pnas.0801715105     Document Type: Article

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