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Evaluation of secondary structure of proteins from UV circular dichroism spectra using an unsupervised learning neural network
Abstract
An optimized self-organizing map algorithm has been used to obtain protein topological (proteinotopic) maps. A neural network is able to arrange a set of proteins depending on their ultraviolet circular dichroism spectra in a completely unsupervised learning process. Analysis of the proteinotopic map reveals that the network extracts the main secondary structure features even with the small number of examples used. Some methods to use the proteinotopic map for protein secondary structure prediction are tested showing a good performance in the 200-240 nm wavelength range that is likely to increase as new protein structures are known.
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Cited by
Deep learning in neural networks: an overview
Schmidhuber, J. (2015) · Neural Networks · doi:10.1016/j.neunet.2014.09.003 · Cited by 18,570
How to study proteins by circular dichroism
Kelly, S. M., Jess, T. J., & Price, N. C. (2005) · Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics · doi:10.1016/j.bbapap.2005.06.005 · Cited by 3,351
Whitmore, L., & Wallace, B. A. (2004) · Nucleic Acids Research · doi:10.1093/nar/gkh371 · Cited by 2,338
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
Dodds, P. N., Lawrence, G. J., Catanzariti, A.-M., Teh, T., Wang, C.-I. A., Ayliffe, M. A., Kobe, B., & Ellis, J. G. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0602577103 · Cited by 787
Metadata
- Authors
- Andrade, M. A., Chacón, P., Merelo, J. J., & Morán, F.
- Venue
- "Protein Engineering, Design and Selection"
- Publisher
- Oxford University Press (OUP)
- Published
- 1993
- Volume
- 6
- Issue
- 4
- Pages
- 383-390
- ISSN
- 0269-2139 (ISSN-L)
- 1741-0126
- 1741-0134
- OpenAlex
- W2064262345
- Cited by
- 1,007
- References
- 0
- FWCI
- 1.37
- Type
- journal article
- Language
- en
- Open access
- closed
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- Andrade, M. A., Chacón, P., Merelo, J. J., & Morán, F. (1993). Evaluation of secondary structure of proteins from UV circular dichroism spectra using an unsupervised learning neural network. "Protein Engineering, Design and Selection". https://doi.org/10.1093/protein/6.4.383
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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