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» Predicting Peroxisomal Proteins
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BMCBI
2007
107views more  BMCBI 2007»
13 years 8 months ago
A computational approach for detecting peptidases and their specific inhibitors at the genome level
Background: Peptidases are proteolytic enzymes responsible for fundamental cellular activities in all organisms. Apparently about 2–5% of the genes encode for peptidases, irresp...
Lisa Bartoli, Remo Calabrese, Piero Fariselli, Dam...
BMCBI
2004
73views more  BMCBI 2004»
13 years 8 months ago
Use of a structural alphabet for analysis of short loops connecting repetitive structures
Background: Because loops connect regular secondary structures, analysis of the former depends directly on the definition of the latter. The numerous assignment methods, however, ...
Laurent Fourrier, Cristina Benros, Alexandre G. de...
BMCBI
2010
95views more  BMCBI 2010»
13 years 8 months ago
EPSVR and EPMeta: prediction of antigenic epitopes using support vector regression and multiple server results
Background: Accurate prediction of antigenic epitopes is important for immunologic research and medical applications, but it is still an open problem in bioinformatics. The case f...
Shide Liang, Dandan Zheng, Daron M. Standley, Bo Y...
BMCBI
2004
166views more  BMCBI 2004»
13 years 8 months ago
Gene prediction using the Self-Organizing Map: automatic generation of multiple gene models
Background: Many current gene prediction methods use only one model to represent proteincoding regions in a genome, and so are less likely to predict the location of genes that ha...
Shaun Mahony, James O. McInerney, Terry J. Smith, ...
BMCBI
2010
176views more  BMCBI 2010»
13 years 8 months ago
TargetSpy: a supervised machine learning approach for microRNA target prediction
Background: Virtually all currently available microRNA target site prediction algorithms require the presence of a (conserved) seed match to the 5' end of the microRNA. Recen...
Martin Sturm, Michael Hackenberg, David Langenberg...