A probabilistic model for secondary structure prediction from protein chemical shifts

Proteins: Structure, Function and Bioinformatics

Volumn 81, Issue 6, 2013, Pages 984-993

  Mechelke, Martin ^a   Habeck, Michael ^a,b  

^a MAX PLANCK INSTITUTE FOR DEVELOPMENTAL BIOLOGY   (Germany)

^b MAX PLANCK INSTITUTE FOR INTELLIGENT SYSTEMS   (Germany)

Author keywords

Hidden Markov model; Nuclear magnetic resonance; Probabilistic modeling; Protein chemical shifts; Secondary structure; Secondary structure prediction

Indexed keywords

ARTICLE; HIDDEN MARKOV MODEL; NERVE CELL NETWORK; PRIORITY JOURNAL; PROTEIN SECONDARY STRUCTURE; STATISTICAL MODEL;

ANIMALS; ANTIFREEZE PROTEINS; INSECT PROTEINS; LEPIDOPTERA; MARKOV CHAINS; MODELS, CHEMICAL; MODELS, STATISTICAL; NUCLEAR MAGNETIC RESONANCE, BIOMOLECULAR; PROTEIN STRUCTURE, SECONDARY; PROTEINS;

EID: 84878156488     PISSN: 08873585     EISSN: 10970134     Source Type: Journal    
DOI: 10.1002/prot.24249     Document Type: Article

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