Prediction of secondary structures of proteins using the sequence and spectroscopical data
โ Scribed by Bernhard J Schubach; Kim Rahmelow
- Book ID
- 114149413
- Publisher
- Elsevier Science
- Year
- 1997
- Tongue
- English
- Weight
- 186 KB
- Volume
- 1340
- Category
- Article
- ISSN
- 0167-4838
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
## Abstract Protein structural class prediction solely from protein sequences is a challenging problem in bioinformatics. Numerous efficient methods have been proposed for protein structural class prediction, but challenges remain. Using novel combined sequence information coupled with predicted se
We present an analysis of the blind predictions submitted to the fold recognition category for the second meeting on the Critical Assessment of techniques for protein Structure Prediction. Our method achieves fold recognition from predicted secondary structure sequences using hidden Markov models (H