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» Sequence kernels for predicting protein essentiality
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13 years 8 months ago
Towards a Systematics for Protein Subcellular Location: Quantitative Description of Protein Localization Patterns and Automated
Determination of the functions of all expressed proteins represents one of the major upcoming challenges in computational molecular biology. Since subcellular location plays a cru...
Robert F. Murphy, Michael V. Boland, Meel Velliste
BMCBI
2010
103views more  BMCBI 2010»
13 years 7 months ago
PostMod: sequence based prediction of kinase-specific phosphorylation sites with indirect relationship
Background: Post-translational modifications (PTMs) have a key role in regulating cell functions. Consequently, identification of PTM sites has a significant impact on understandi...
Inkyung Jung, Akihisa Matsuyama, Minoru Yoshida, D...
NAR
2008
152views more  NAR 2008»
13 years 7 months ago
PROMALS3D web server for accurate multiple protein sequence and structure alignments
Multiple sequence alignments are essential in computational sequence and structural analysis, with applications in homology detection, structure modeling, function prediction and ...
Jimin Pei, Ming Tang, Nick V. Grishin
BMCBI
2008
122views more  BMCBI 2008»
13 years 7 months ago
ESLpred2: improved method for predicting subcellular localization of eukaryotic proteins
Background: The expansion of raw protein sequence databases in the post genomic era and availability of fresh annotated sequences for major localizations particularly motivated us...
Aarti Garg, Gajendra P. S. Raghava
BMCBI
2007
93views more  BMCBI 2007»
13 years 7 months ago
SVM-Fold: a tool for discriminative multi-class protein fold and superfamily recognition
Background: Predicting a protein’s structural class from its amino acid sequence is a fundamental problem in computational biology. Much recent work has focused on developing ne...
Iain Melvin, Eugene Ie, Rui Kuang, Jason Weston, W...