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» Predicting Peroxisomal Proteins
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BMCBI
2007
157views more  BMCBI 2007»
13 years 8 months ago
Statistical learning of peptide retention behavior in chromatographic separations: a new kernel-based approach for computational
Background: High-throughput peptide and protein identification technologies have benefited tremendously from strategies based on tandem mass spectrometry (MS/MS) in combination wi...
Nico Pfeifer, Andreas Leinenbach, Christian G. Hub...
BIBE
2009
IEEE
185views Bioinformatics» more  BIBE 2009»
14 years 1 months ago
Anomaly-free Prediction of Gene Ontology Annotations Using Bayesian Networks
Gene and protein structural and functional annotations expressed through controlled terminologies and ontologies are paramount especially for the aim of inferring new biomedical k...
Marco Tagliasacchi, Marco Masseroli
BMCBI
2010
120views more  BMCBI 2010»
13 years 8 months ago
AntiBP2: improved version of antibacterial peptide prediction
Background: Antibacterial peptides are one of the effecter molecules of innate immune system. Over the last few decades several antibacterial peptides have successfully approved a...
Sneh Lata, Nitish K. Mishra, Gajendra P. S. Raghav...
NAR
2008
103views more  NAR 2008»
13 years 8 months ago
DBD--taxonomically broad transcription factor predictions: new content and functionality
DNA-binding domain (DBD) is a database of predicted sequence-specific DNA-binding transcription factors (TFs) for all publicly available proteomes. The proteomes have increased fr...
Derek Wilson, Varodom Charoensawan, Sarah K. Kumme...
GCB
1998
Springer
78views Biometrics» more  GCB 1998»
14 years 10 days ago
Computational approaches to identify Leucine Zippers
The leucine zipper is a dimerization domain occurring mostly in regulatory and thus in many oncogenic proteins. The leucine repeat in the sequence has been traditionally used for ...
Erich Bornberg-Bauer