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» Transmembrane Segment Prediction from Protein Sequence Data
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BMCBI
2007
91views more  BMCBI 2007»
14 years 9 months ago
A machine learning approach for the identification of odorant binding proteins from sequence-derived properties
Background: Odorant binding proteins (OBPs) are believed to shuttle odorants from the environment to the underlying odorant receptors, for which they could potentially serve as od...
Ganesan Pugalenthi, E. Ke Tang, Ponnuthurai N. Sug...
BMCBI
2006
159views more  BMCBI 2006»
14 years 9 months ago
EVEREST: automatic identification and classification of protein domains in all protein sequences
Background: Proteins are comprised of one or several building blocks, known as domains. Such domains can be classified into families according to their evolutionary origin. Wherea...
Elon Portugaly, Amir Harel, Nathan Linial, Michal ...
BMCBI
2010
189views more  BMCBI 2010»
14 years 9 months ago
High quality protein sequence alignment by combining structural profile prediction and profile alignment using SABERTOOTH
Background: Protein alignments are an essential tool for many bioinformatics analyses. While sequence alignments are accurate for proteins of high sequence similarity, they become...
Florian Teichert, Jonas Minning, Ugo Bastolla, Mar...
NAR
2007
132views more  NAR 2007»
14 years 9 months ago
Expanded protein information at SGD: new pages and proteome browser
The recent explosion in protein data generated from both directed small-scale studies and largescale proteomics efforts has greatly expanded the quantity of available protein info...
Robert S. Nash, Shuai Weng, Benjamin C. Hitz, Rama...
BMCBI
2004
94views more  BMCBI 2004»
14 years 9 months ago
GASP: Gapped Ancestral Sequence Prediction for proteins
Background: The prediction of ancestral protein sequences from multiple sequence alignments is useful for many bioinformatics analyses. Predicting ancestral sequences is not a sim...
Richard J. Edwards, Denis C. Shields