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Protein secondary structure and homology by neural networks The α‐helices in rhodopsin
Open accessAbstract
Neural networks provide a basis for semiempirical studies of pattern matching between the primary and secondary structures of proteins. Networks of the perceptron class have been trained to classify the amino‐acid residues into two categories for each of three types of secondary feature: α‐helix or not, β‐sheet or not, and random coil or not. The explicit prediction for the helices in rhodopsin is compared with both electron microscopy results and those of the Chou‐Fasman method. A new measure of homology between proteins is provided by the network approach, which thereby leads to quantification of the differences between the primary structures of proteins.
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Cites
Comparison of the predicted and observed secondary structure of T4 phage lysozyme
Matthews, B. W. (1975) · Biochimica et Biophysica Acta (BBA) - Protein Structure · doi:10.1016/0005-2795(75)90109-9 · Cited by 5,399
Cited by
Hansen, L. K., & Salamon, P. (1990) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.58871 · Cited by 4,260
Combining evolutionary information and neural networks to predict protein secondary structure
Rost, B., & Sander, C. (1994) · Proteins: Structure, Function, and Bioinformatics · doi:10.1002/prot.340190108 · Cited by 1,452
Gasteiger, J., & Zupan, J. (1993) · Angewandte Chemie International Edition in English · doi:10.1002/anie.199305031 · Cited by 503
Deep learning in biomedical data science
Baldi, P. (2018) · Annual Review of Biomedical Data Science · doi:10.1146/annurev-biodatasci-080917-013343 · Cited by 119
Beyreuther, S., Hunger, J., Huttner, G., Mann, S., & Zsolnai, L. (1996) · Chemische Berichte · doi:10.1002/cber.19961290704 · Cited by 32
Metadata
- Authors
- Bohr, H., Bohr, J., Brunak, S., Cotterill, R. M. J., Lautrup, B., Nørskov, L., Olsen, O. H., & Petersen, S. B.
- Venue
- FEBS Letters
- Publisher
- Wiley
- Published
- 1988-12-05
- Volume
- 241
- Issue
- 1-2
- Pages
- 223-228
- ISSN
- 0014-5793 (ISSN-L)
- 1873-3468
- OpenAlex
- W1988551786
- Cited by
- 177
- References
- 1
- FWCI
- 3.94
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Bohr, H., Bohr, J., Brunak, S., Cotterill, R. M. J., Lautrup, B., Nørskov, L., Olsen, O. H., & Petersen, S. B. (1988). Protein secondary structure and homology by neural networks The α‐helices in rhodopsin. FEBS Letters. https://doi.org/10.1016/0014-5793(88)81066-4
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