As a continuous effort to develop automated methods for predicting membrane protein types that was initiated by Chou and Elrod (PROTEINS: Structure, Function, and Genetics, 1999, 34, 137-153), the support vector machine (SVM) is introduced. Results obtained through re-substitution, jackknife, and in
โฆ LIBER โฆ
Application of protein grey incidence degree measure to predict protein quaternary structural types
โ Scribed by Xuan Xiao; Wei-Zhong Lin
- Publisher
- Springer
- Year
- 2008
- Tongue
- English
- Weight
- 302 KB
- Volume
- 37
- Category
- Article
- ISSN
- 0939-4451
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
Application of SVM to predict membrane p
โ
Yu-Dong Cai; Pong-Wong Ricardo; Chih-Hung Jen; Kuo-Chen Chou
๐
Article
๐
2004
๐
Elsevier Science
๐
English
โ 233 KB
The Prediction of the Structural Class o
โ
QIAN-ZHONG LI; ZHI-QING LU
๐
Article
๐
2001
๐
Elsevier Science
๐
English
โ 235 KB
Based on the concept that the structural class of a protein is mainly determined by its secondary structure sequence, a new algorithm for prediction of the structural class of a protein is proposed. By use of the number of -helices, -strands, and fragments, the structural class of a protein can be p
Application of multiple sequence alignme
โ
James A. Cuff; Geoffrey J. Barton
๐
Article
๐
2000
๐
John Wiley and Sons
๐
English
โ 298 KB
๐ 2 views
Computer simulations to predict the avai
โ
Yechiel Becker
๐
Article
๐
1995
๐
Springer
๐
English
โ 750 KB
Predictive power of screening for antibo
โ
J. De Grijse; M. Asanghanwa; B. Nouthe; N. Albrecher; P. Goubert; I. Vermeulen;
๐
Article
๐
2009
๐
Springer
๐
English
โ 174 KB