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ISMIS
2005
Springer
14 years 1 months ago
A Machine Text-Inspired Machine Learning Approach for Identification of Transmembrane Helix Boundaries
In this paper, we adapt a statistical learning approach, inspired by automated topic segmentation techniques in speech-recognized documents to the challenging protein segmentation ...
Betty Yee Man Cheng, Jaime G. Carbonell, Judith Kl...
BMCBI
2010
190views more  BMCBI 2010»
13 years 7 months ago
APIS: accurate prediction of hot spots in protein interfaces by combining protrusion index with solvent accessibility
Background: It is well known that most of the binding free energy of protein interaction is contributed by a few key hot spot residues. These residues are crucial for understandin...
Jun-Feng Xia, Xing-Ming Zhao, Jiangning Song, De-S...
FLAIRS
2008
13 years 9 months ago
Contrast Pattern Mining with Gap Constraints for Peptide Folding Prediction
1 In this paper, we propose a peptide folding prediction method which discovers contrast patterns to differentiate and predict peptide folding classes. A contrast pattern is defin...
Chinar C. Shah, Xingquan Zhu, Taghi M. Khoshgoftaa...
BMCBI
2008
147views more  BMCBI 2008»
13 years 7 months ago
Transmembrane helix prediction using amino acid property features and latent semantic analysis
Background: Prediction of transmembrane (TM) helices by statistical methods suffers from lack of sufficient training data. Current best methods use hundreds or even thousands of f...
Madhavi Ganapathiraju, Narayanas Balakrishnan, Raj...
BMCBI
2006
101views more  BMCBI 2006»
13 years 7 months ago
Predicting residue contacts using pragmatic correlated mutations method: reducing the false positives
Background: Predicting residues' contacts using primary amino acid sequence alone is an important task that can guide 3D structure modeling and can verify the quality of the ...
Petras J. Kundrotas, Emil Alexov