Soft Computing Methods for Disulfide Connectivity Prediction
The problem of protein structure prediction (PSP) is one of the main challenges in structural bioinformatics. To tackle this problem, PSP can be divided into several subproblems. One of these subproblems is the prediction of disulfide bonds. The disulfide connectivity prediction problem consists in...
Main Authors: | Alfonso E. Márquez-Chamorro, Jesús S. Aguilar-Ruiz |
---|---|
Format: | Article |
Language: | English |
Published: |
SAGE Publishing
2015-01-01
|
Series: | Evolutionary Bioinformatics |
Online Access: | https://doi.org/10.4137/EBO.S25349 |
Similar Items
-
Soft Computing Methods for Disulfide Connectivity Prediction
by: Alfonso E. Márquez-Chamorro, et al.
Published: (2015-10-01) -
Prediction of Disulfide Connectivity Patterns in Proteins
by: Shih-Chieh Chen, et al.
Published: (2003) -
Prediction of Disulfide Connectivity from Protein Sequences
by: Chen Yu-Ching, et al.
Published: (2007) -
Identifying Calcium-Binding Sites and Predicting Disulfide Connectivity
by: Deng, Hai
Published: (2007) -
Disulfide Connectivity Prediction using Sequence Distance Profile
by: Tung-Fang Chao, et al.
Published: (2004)