Improved sequence-based prediction of protein secondary structures by combining vacuum-ultraviolet circular dichroism spectroscopy with neural network

Proteins: Structure, Function and Genetics

Volumn 73, Issue 1, 2008, Pages 104-112

  Matsuo, Koichi ^a   Watanabe, Hidenori ^a   Gekko, Kunihiko ^a  

^a HIROSHIMA UNIVERSITY   (Japan)

Author keywords

Neural network; Proteins; Secondary structure; Sequence based prediction; Vacuum ultraviolet circular dichroism spectroscopy

Indexed keywords

ACCURACY; ALPHA HELIX; ARTICLE; ARTIFICIAL NEURAL NETWORK; CIRCULAR DICHROISM; CRYSTAL STRUCTURE; PREDICTION; PRIORITY JOURNAL; PROTEIN CONTENT; PROTEIN SECONDARY STRUCTURE; VACUUM ULTRAVIOLET CIRCULAR DICHROISM SPECTROSCOPY; X RAY;

ALGORITHMS; AMINO ACID SEQUENCE; ANIMALS; CIRCULAR DICHROISM; HUMANS; NEURAL NETWORKS (COMPUTER); PROTEIN STRUCTURE, SECONDARY; PROTEINS; SPECTROPHOTOMETRY, ULTRAVIOLET;

EID: 50849098894     PISSN: 08873585     EISSN: 10970134     Source Type: Journal    
DOI: 10.1002/prot.22055     Document Type: Article

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