Since it was observed that the structural class of a protein is related to its amino acid composition, various methods based on amino acid composition have been proposed to predict protein structural classes. Though those methods are effective to some degree, their predictive quality is confined bec
Structural class tendency of polypeptide: A new conception in predicting protein structural class
โ Scribed by Tao Yu; Zhi-Bo Sun; Jian-Ping Sang; Sheng-You Huang; Xian-Wu Zou
- Publisher
- Elsevier Science
- Year
- 2007
- Tongue
- English
- Weight
- 178 KB
- Volume
- 386
- Category
- Article
- ISSN
- 0378-4371
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
## Abstract Supervised classifiers, such as artificial neural network, partition trees, and support vector machines, are often used for the prediction and analysis of biological data. However, choosing an appropriate classifier is not straightforward because each classifier has its own strengths an
The support vector machines (SVMs) method was introduced for predicting the structural class of protein domains. The results obtained through the self-consistency test, jack-knife test, and independent dataset test have indicated that the current method and the elegant component-coupled algorithm de