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» Predicting protein function from domain content
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BMCBI
2008
101views more  BMCBI 2008»
15 years 5 months ago
Prediction of glycosylation sites using random forests
Background: Post translational modifications (PTMs) occur in the vast majority of proteins and are essential for function. Prediction of the sequence location of PTMs enhances the...
Stephen E. Hamby, Jonathan D. Hirst
156
Voted
BMCBI
2004
123views more  BMCBI 2004»
15 years 5 months ago
Interaction profile-based protein classification of death domain
Background: The increasing number of protein sequences and 3D structure obtained from genomic initiatives is leading many of us to focus on proteomics, and to dedicate our experim...
Drew Lett, Michael Hsing, Frederic Pio
BMCBI
2007
144views more  BMCBI 2007»
15 years 5 months ago
Assessing the ability of sequence-based methods to provide functional insight within membrane integral proteins: a case study an
Background: Efforts to predict functional sites from globular proteins is increasingly common; however, the most successful of these methods generally require structural insight. ...
Dennis R. Livesay, Patrick D. Kidd, Sepehr Eskanda...
136
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CIBCB
2006
IEEE
15 years 11 months ago
E2D: A Novel Tool for Annotating Protein Domains in Expressed Sequence Tags
The vast number of expressed sequence tags (ESTs) in public databases provides an important resource for comparative and functional genomics. A variety of methods based on homology...
Guo-Hsing Lee, Nai-Yu Chuang, Wen-Dar Lin, Chung-D...
BMCBI
2010
179views more  BMCBI 2010»
15 years 5 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...