Literature DB >> 12824321

LOC3D: annotate sub-cellular localization for protein structures.

Rajesh Nair1, Burkhard Rost.   

Abstract

LOC3D (http://cubic.bioc.columbia.edu/db/LOC3d/) is both a weekly-updated database and a web server for predictions of sub-cellular localization for eukaryotic proteins of known three-dimensional (3D) structure. Localization is predicted using four different methods: (i) PredictNLS, prediction of nuclear proteins through nuclear localization signals; (ii) LOChom, inferring localization through sequence homology; (iii) LOCkey, inferring localization through automatic text analysis of SWISS-PROT keywords; and (iv) LOC3Dini, ab initio prediction through a system of neural networks and vector support machines. The final prediction is based on the method that predicts localization with the highest confidence. The LOC3D database currently contains predictions for >8700 eukaryotic protein chains taken from the Protein Data Bank (PDB). The web server can be used to predict sub-cellular localization for proteins for which only a predicted structure is available from threading servers. This makes the resource of particular interest to structural genomics initiatives.

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Substances:

Year:  2003        PMID: 12824321      PMCID: PMC168921          DOI: 10.1093/nar/gkg514

Source DB:  PubMed          Journal:  Nucleic Acids Res        ISSN: 0305-1048            Impact factor:   16.971


  26 in total

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Journal:  J Mol Biol       Date:  2002-06-21       Impact factor: 5.469

5.  NLSdb: database of nuclear localization signals.

Authors:  Rajesh Nair; Phil Carter; Burkhard Rost
Journal:  Nucleic Acids Res       Date:  2003-01-01       Impact factor: 16.971

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Journal:  Genome Res       Date:  2002-10       Impact factor: 9.043

8.  The SWISS-PROT protein sequence database and its supplement TrEMBL in 2000.

Authors:  A Bairoch; R Apweiler
Journal:  Nucleic Acids Res       Date:  2000-01-01       Impact factor: 16.971

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Journal:  Bioinformatics       Date:  2002       Impact factor: 6.937

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  14 in total

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3.  Human Protein Subcellular Localization with Integrated Source and Multi-label Ensemble Classifier.

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6.  Semi-supervised protein subcellular localization.

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7.  Characterization of subcellular localization of duck enteritis virus UL51 protein.

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8.  Trafficking of some old world primate TRIM5α proteins through the nucleus.

Authors:  Felipe Diaz-Griffero; Daniel E Gallo; Thomas J Hope; Joseph Sodroski
Journal:  Retrovirology       Date:  2011-05-15       Impact factor: 4.602

9.  Protein subcellular localization prediction based on compartment-specific features and structure conservation.

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Journal:  BMC Bioinformatics       Date:  2007-09-08       Impact factor: 3.169

10.  Esub8: a novel tool to predict protein subcellular localizations in eukaryotic organisms.

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Journal:  BMC Bioinformatics       Date:  2004-05-27       Impact factor: 3.169

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