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SOPMA: significant improvements in protein secondary structure prediction by consensus prediction from multiple alignments
Open accessAbstract
Recently a new method called the self-optimized prediction method (SOPM) has been described to improve the success rate in the prediction of the secondary structure of proteins. In this paper we report improvements brought about by predicting all the sequences of a set of aligned proteins belonging to the same family. This improved SOPM method (SOPMA) correctly predicts 69.5% of amino acids for a three-state description of the secondary structure (alpha-helix, beta-sheet and coil) in a whole database containing 126 chains of non-homologous (less than 25% identity) proteins. Joint prediction with SOPMA and a neural networks method (PHD) correctly predicts 82.2% of residues for 74% of co-predicted amino acids. Predictions are available by Email to deleage@ibcp.fr or on a Web page (http:@www.ibcp.fr/predict.html).
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Cites
Improved tools for biological sequence comparison.
Pearson, W. R., & Lipman, D. J. (1988) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.85.8.2444 · Cited by 11,227
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Self-citationEvaluation and improvement of multiple sequence methods for protein secondary structure prediction
Cuff, J. A., & Barton, G. J. (1999) · Proteins: Structure, Function, and Genetics · doi:10.1002/(sici)1097-0134(19990301)34:4<508::aid-prot10>3.0.co;2-4 · Cited by 667
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Metadata
- Authors
- Geourjon, C., & Deléage, G.
- Venue
- Bioinformatics
- Publisher
- Oxford University Press (OUP)
- Published
- 1995
- Volume
- 11
- Issue
- 6
- Pages
- 681-684
- ISSN
- 0266-7061 (ISSN-L)
- 1367-4803
- 1460-2059
- OpenAlex
- W2118817344
- Cited by
- 2,129
- References
- 1
- FWCI
- 3.08
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Geourjon, C., & Deléage, G. (1995). SOPMA: significant improvements in protein secondary structure prediction by consensus prediction from multiple alignments. Bioinformatics. https://doi.org/10.1093/bioinformatics/11.6.681
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