DANGLE: A Bayesian inferential method for predicting protein backbone dihedral angles and secondary structure

Journal of Magnetic Resonance

Volumn 202, Issue 2, 2010, Pages 223-233

  Cheung, Ming Sin ^a   Maguire, Mahon L ^a   Stevens, Tim J ^a   Broadhurst, R William ^a  

^a UNIVERSITY OF CAMBRIDGE   (United Kingdom)

Author keywords

Bioinformatics; Chemical shifts; Dihedral angle prediction; NMR spectroscopy; Protein structure; Secondary structure prediction

Indexed keywords

APOMYOGLOBIN; BAYESIAN; BAYESIAN INFERENCE; CONFORMATIONAL PREFERENCES; DENATURED STATE; DIHEDRAL ANGLES; FILTERING PROCEDURES; INFERENTIAL METHODS; NEW APPROACHES; NMR SPECTROSCOPY; PREDICTION METHODS; PROTEIN BACKBONE; PROTEIN STRUCTURES; QUERY PROTEINS; RESIDUAL STRUCTURE; RESIDUE ANALYSIS; ROBUST ESTIMATE; SECONDARY STRUCTURE PREDICTION; SECONDARY STRUCTURES; SHIFT MEASUREMENT; UNFOLDED PROTEINS;

AMINES; AMINO ACIDS; BAYESIAN NETWORKS; BIOINFORMATICS; CHEMICAL SHIFT; CONFORMATIONS; INFERENCE ENGINES; NUCLEAR MAGNETIC RESONANCE; NUCLEAR MAGNETIC RESONANCE SPECTROSCOPY; ORGANIC ACIDS; RADAR ANTENNAS; STATE ASSIGNMENT;

PROTEINS;

AMINO ACID; APOMYOGLOBIN; APOPROTEIN; GLYCINE; MYOGLOBIN; PROTEIN;

ALGORITHM; ARTICLE; BAYES THEOREM; CHEMISTRY; FACTUAL DATABASE; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE; PROBABILITY; PROTEIN FOLDING; PROTEIN SECONDARY STRUCTURE;

ALGORITHMS; AMINO ACIDS; APOPROTEINS; BAYES THEOREM; DATABASES, FACTUAL; GLYCINE; MYOGLOBIN; NUCLEAR MAGNETIC RESONANCE, BIOMOLECULAR; PROBABILITY; PROTEIN FOLDING; PROTEIN STRUCTURE, SECONDARY; PROTEINS;

EID: 72449187567     PISSN: 10907807     EISSN: 10960856     Source Type: Journal    
DOI: 10.1016/j.jmr.2009.11.008     Document Type: Article

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