A simplified approach to disulfide connectivity prediction from protein sequences
<p>Abstract</p> <p>Background</p> <p>Prediction of disulfide bridges from protein sequences is useful for characterizing structural and functional properties of proteins. Several methods based on different machine learning algorithms have been applied to solve this prob...
Main Authors: | Frasconi Paolo, Labbé Matthieu, Passerini Andrea, Vincent Marc |
---|---|
Format: | Article |
Language: | English |
Published: |
BMC
2008-01-01
|
Series: | BMC Bioinformatics |
Online Access: | http://www.biomedcentral.com/1471-2105/9/20 |
Similar Items
-
Prediction of Disulfide Connectivity from Protein Sequences
by: Chen Yu-Ching, et al.
Published: (2007) -
Prediction of Disulfide Connectivity Patterns in Proteins
by: Shih-Chieh Chen, et al.
Published: (2003) -
Disulfide Connectivity Prediction using Sequence Distance Profile
by: Tung-Fang Chao, et al.
Published: (2004) -
Soft Computing Methods for Disulfide Connectivity Prediction
by: Alfonso E. Márquez-Chamorro, et al.
Published: (2015-10-01) -
Soft Computing Methods for Disulfide Connectivity Prediction
by: Alfonso E. Márquez-Chamorro, et al.
Published: (2015-01-01)