Open AccessMemLoci: predicting subcellular localization of membrane proteins in eukaryotes
Author(s) -
Andrea Pierleoni,
Pier Luigi Martelli,
Rita Casadio
Publication year - 2011
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btr108
Subject(s) - subcellular localization , protein subcellular localization prediction , protein sorting signals , membrane protein , organelle , computational biology , annotation , support vector machine , membrane , globular protein , computer science , artificial intelligence , similarity (geometry) , pattern recognition (psychology) , biology , cytoplasm , peptide sequence , biochemistry , signal peptide , gene , image (mathematics)
Subcellular localization is a key feature in the process of functional annotation of both globular and membrane proteins. In the absence of experimental data, protein localization is inferred on the basis of annotation transfer upon sequence similarity search. However, predictive tools are necessary when the localization of homologs is not known. This is so particularly for membrane proteins. Furthermore, most of the available predictors of subcellular localization are specifically trained on globular proteins and poorly perform on membrane proteins.
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