PSORT-B: improving protein subcellular localization prediction for Gram-negative bacteria

By Jennifer L. Gardy, Cory Spencer, Ke Wang, Martin Ester, Gábor E. Tusnády, István Simon, Sujun Hua, K. D. Fays, Christophe G. Lambert, Kenta Nakai and 1 more. Nucleic Acids Res., 2003

445 citations recorded by the source corpus.

Subfields: Molecular Biology

View Paper: https://www.semanticscholar.org/paper/d43dec3223318e37c214b22138eb545b2fee18a2

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Citations in the corpus

A Practical Guide to Support Vector Classication (2008, methodology): “(2)Courtesy of Cory Spencer from Simon Fraser University, Canada (Gardy et al., 2003).”
Cell-PLoc 2.0: an improved package of web-servers for predicting subcellular localization of proteins in various organisms (2010, unknown): “, [4-59].”
Cell-PLoc: a package of Web servers for predicting subcellular localization of proteins in various organisms (2008, result): “In comparison with some popular predictors such as PSORT 12 , TargetP 18 and PSORT-B 27 that cover ﬁve or less subcellular locations, some predictors in the Cell-PLoc package can cover up to 22 subcellular locations.”
Predicting subcellular localization of proteins using machine-learned classifiers (2004, methodology): “However, PSORT and PSORT II are older systems with poor accuracy, whereas PSORT-B is a newer system with much better accuracy (Gardy et al., 2003).”
Predicting subcellular localization of proteins for Gram‐negative bacteria by support vector machines based on n‐peptide compositions (2004, methodology): “Following the method of Gardy et al. (2003), for the sequences with dual locations, if one of their locations is predicted, we will consider them as correctly predicted.”
ESLpred: SVM-based method for subcellular localization of eukaryotic proteins using dipeptide composition and PSI-BLAST (2004, methodology): “Since 1991, numerous methods have been developed to predict subcellular localization and are available online (PSORT I (5) and PSORT-B (6) for prokaryotic organisms, iPSORT (7) and TargetP (8) for eukaryotes, and SubLoc (2) and NNPSL (3) for both prokaryotes and eukaryotes).”
REVIEW : Recent advances in developing web-servers for predicting protein attributes (2009, background): “, [6-48] and the relevant references cited in a recent review paper [49].”
A Practical Guide to Support Vector Classification (2009, methodology): “(2)Courtesy of Cory Spencer from Simon Fraser University, Canada (Gardy et al., 2003).”
iLoc-Euk: A Multi-Label Classifier for Predicting the Subcellular Localization of Singleplex and Multiplex Eukaryotic Proteins (2011, unknown): “, [13,15,28,41,42,43,44]).”