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» Co-Tracking Using Semi-Supervised Support Vector Machines
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BMCBI
2010
117views more  BMCBI 2010»
14 years 10 months ago
Properties and identification of antibiotic drug targets
Background: We analysed 48 non-redundant antibiotic target proteins from all bacteria, 22 antibiotic target proteins from E. coli only and 4243 non-drug targets from E. coli to id...
Tala Bakheet, Andrew J. Doig
BMCBI
2010
179views more  BMCBI 2010»
14 years 10 months ago
A semi-supervised learning approach to predict synthetic genetic interactions by combining functional and topological properties
Background: Genetic interaction profiles are highly informative and helpful for understanding the functional linkages between genes, and therefore have been extensively exploited ...
Zhuhong You, Zheng Yin, Kyungsook Han, De-Shuang H...
BMCBI
2007
130views more  BMCBI 2007»
14 years 10 months ago
Exploiting residue-level and profile-level interface propensities for usage in binding sites prediction of proteins
Background: Recognition of binding sites in proteins is a direct computational approach to the characterization of proteins in terms of biological and biochemical function. Residu...
Qiwen Dong, Xiaolong Wang, Lei Lin, Yi Guan
BMCBI
2008
145views more  BMCBI 2008»
14 years 10 months ago
Directed acyclic graph kernels for structural RNA analysis
Background: Recent discoveries of a large variety of important roles for non-coding RNAs (ncRNAs) have been reported by numerous researchers. In order to analyze ncRNAs by kernel ...
Kengo Sato, Toutai Mituyama, Kiyoshi Asai, Yasubum...
BMCBI
2008
72views more  BMCBI 2008»
14 years 10 months ago
HECTAR: A method to predict subcellular targeting in heterokonts
Background: The heterokonts are a particularly interesting group of eukaryotic organisms; they include many key species of planktonic and coastal algae and several important patho...
Bernhard Gschloessl, Yann Guermeur, J. Mark Cock