Neural network prediction of polyproline type II secondary structures

Studies in Health Technology and Informatics

Volumn 77, Issue , 2000, Pages 475-479

  Siermala, Markku ^a   Juhola, Martti ^a   Vihinen, Mauno ^b  

^a TAMPERE UNIVERSITY OF TECHNOLOGY   (Finland)

^b UNIVERSITY OF TAMPERE   (Finland)

Author keywords

[No Author keywords available]

Indexed keywords

MULTI-LAYER PERCEPTRON NEURAL NETWORKS; NEURAL NETWORK PREDICTIONS; POLY PROLINES; POLYPROLINE II; PROTEIN SEQUENCES; SECONDARY STRUCTURES; TYPE II;

MULTILAYER NEURAL NETWORKS;

PEPTIDE; POLYPROLINE;

ARTICLE; ARTIFICIAL NEURAL NETWORK; CHEMISTRY; HUMAN; PROTEIN SECONDARY STRUCTURE; SEQUENCE ANALYSIS;

HUMANS; NEURAL NETWORKS (COMPUTER); PEPTIDES; PROTEIN STRUCTURE, SECONDARY; SEQUENCE ANALYSIS, PROTEIN;

EID: 0034569385     PISSN: 09269630     EISSN: 18798365     Source Type: Book Series    
DOI: 10.3233/978-1-60750-921-9-475     Document Type: Conference Paper

References (7)

1. G. B. Cohen et al., Modular binding domains in signal transduction proteins, Cell 80 (1995) 237-248.
2. http://www. rcsb. org/pdb/
3. S. Needelman and C. Wunsch, A general method applicable to the search for similarities in the amino acid sequence of two proteins, Journal of Molecular Biology 48 (1970) 443-453.
4. A. Adzhubei and M. Sternberg, Left-handed polyproline II helices commonly occur in globular proteins, Journal of Molecular Biology 229 (1993) 472-493.
5. C. Ruggiero et al., Peptides secondary structure prediction with neural networks: A criterion for building appropriate learning sets, Transactions on Biomedical Engineering 40 (1993) 1114-1121.
6. K. Swingler, Applying Neural Networks, Academic Press, UK, 1996.
7. B. Rost and C. Sander, 3rd Generation Prediction of Secondary Structure, Humana Press, 1998 (in press), http://www. embl-heidelberg. de/~rost/Papers/ 1999-humana/paper. html