Accurate and automated classification of protein secondary structure with PsiCSI

Protein Science

Volumn 12, Issue 2, 2003, Pages 288-295

  Hung, Ling Hong ^a   Samudrala, Ram ^a  

^a UNIVERSITY OF WASHINGTON   (United States)

Author keywords

Chemical shifts; Neural networks; NMR; Secondary structure

Indexed keywords

ACCURACY; AMINO ACID SEQUENCE; ANALYTICAL ERROR; ARTICLE; ARTIFICIAL NEURAL NETWORK; AUTOMATION; CARBON NUCLEAR MAGNETIC RESONANCE; CLASSIFICATION; PRIORITY JOURNAL; PROTEIN DATABASE; PROTEIN SECONDARY STRUCTURE; PROTEIN TERTIARY STRUCTURE; PROTON NUCLEAR MAGNETIC RESONANCE; SEQUENCE ANALYSIS; STRUCTURE ANALYSIS; TECHNIQUE;

AUTOMATION; COMPUTER SIMULATION; DATABASES, FACTUAL; MODELS, MOLECULAR; NEURAL NETWORKS (COMPUTER); NUCLEAR MAGNETIC RESONANCE, BIOMOLECULAR; PROTEIN STRUCTURE, SECONDARY; PROTEINS; REPRODUCIBILITY OF RESULTS; RESEARCH DESIGN; SENSITIVITY AND SPECIFICITY;

EID: 0037304379     PISSN: 09618368     EISSN: None     Source Type: Journal    
DOI: 10.1110/ps.0222303     Document Type: Article

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