An automated assignment-free Bayesian approach for accurately identifying proton contacts from NOESY data

Journal of Biomolecular NMR

Volumn 36, Issue 3, 2006, Pages 189-198

  Hung, Ling Hong ^a   Samudrala, Ram ^a  

^a UNIVERSITY OF WASHINGTON   (United States)

Author keywords

Automation; Bayes; Bioinformatics; Computation; Probabilistic; Protein structure; Protinfo; Software; Webserver

Indexed keywords

CARBON 13; NITROGEN 15; PROTON;

ACCESS TO INFORMATION; ACCURACY; ARTICLE; AUTOMATION; BAYES THEOREM; COMPUTER PROGRAM; CONTROLLED STUDY; INTERMETHOD COMPARISON; INTERNET; MATHEMATICAL ANALYSIS; NUCLEAR MAGNETIC RESONANCE SPECTROSCOPY; NUCLEAR OVERHAUSER EFFECT; PRIORITY JOURNAL; PROBABILITY; PROTEIN STRUCTURE; QUANTITATIVE ANALYSIS; SIMULATION; STRUCTURE ANALYSIS;

ALGORITHMS; BAYES THEOREM; CARBON ISOTOPES; DATA INTERPRETATION, STATISTICAL; HYDROGEN; NITROGEN; NITROGEN ISOTOPES; NUCLEAR MAGNETIC RESONANCE, BIOMOLECULAR; PROBABILITY; PROTEIN CONFORMATION; PROTEINS;

EID: 33750967051     PISSN: 09252738     EISSN: 15735001     Source Type: Journal    
DOI: 10.1007/s10858-006-9082-1     Document Type: Article

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