Improved prediction of protein secondary structure by use of sequence profiles and neural networks

Proceedings of the National Academy of Sciences of the United States of America

Volumn 90, Issue 16, 1993, Pages 7558-7562

  Rost, Burkhard ^a   Sander, Chris ^a  

^a EUROPEAN MOLECULAR BIOLOGY LABORATORY   (Germany)

Author keywords

Multiple sequence alignment; Protein structure prediction

Indexed keywords

ACCURACY; AMINO ACID SEQUENCE; ARTICLE; PREDICTION; PRIORITY JOURNAL; PROTEIN SECONDARY STRUCTURE; PROTEIN STRUCTURE; TECHNIQUE;

AMINO ACID SEQUENCE; COMPARATIVE STUDY; MOLECULAR SEQUENCE DATA; NEURAL NETWORKS (COMPUTER); PROTEIN STRUCTURE, SECONDARY; PROTEINS; SUPPORT, NON-U.S. GOV'T;

EID: 0027169638     PISSN: 00278424     EISSN: None     Source Type: Journal    
DOI: 10.1073/pnas.90.16.7558     Document Type: Article

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