A primary and a secondary neural network are applied to secondary structure and structural class prediction for a database of 681 non-homologous protein chains. A new method of decoding the outputs of the secondary structure prediction network is used to produce an estimate of the probability of fin
β¦ LIBER β¦
Accurate Prediction of Protein Secondary Structural Content
β Scribed by Zong Lin; Xian-Ming Pan
- Book ID
- 110296169
- Publisher
- Springer
- Year
- 2001
- Tongue
- English
- Weight
- 71 KB
- Volume
- 20
- Category
- Article
- ISSN
- 1573-4943
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