Literature DB >> 12002222

Functional annotation of proteomic sequences based on consensus of sequence and structural analysis.

David H Kitson1, Azat Badretdinov, Zhan-yang Zhu, Mikhail Velikanov, David J Edwards, Krzysztof Olszewski, Sándor Szalma, Lisa Yan.   

Abstract

To maximise the assignment of function of the proteins encoded by a genome and to aid the search for novel drug targets, there is an emerging need for sensitive methods of predicting protein function on a genome-wide basis. GeneAtlas is an automated, high-throughput pipeline for the prediction of protein structure and function using sequence similarity detection, homology modelling and fold recognition methods. GeneAtlas is described in detail here. To test GeneAtlas, a 'virtual' genome was used, a subset of PDB structures from the SCOP database, in which the functional relationships are known. GeneAtlas detects additional relationships by building 3D models in comparison with the sequence searching method PSI-BLAST. Functionally related proteins with sequence identity below the twilight zone can be recognised correctly.

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Year:  2002        PMID: 12002222     DOI: 10.1093/bib/3.1.32

Source DB:  PubMed          Journal:  Brief Bioinform        ISSN: 1467-5463            Impact factor:   11.622


  8 in total

1.  Identification of a residue in helix 2 of rice plasma membrane intrinsic proteins that influences water permeability.

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Journal:  J Biol Chem       Date:  2010-10-06       Impact factor: 5.157

2.  Proteome Analyst: custom predictions with explanations in a web-based tool for high-throughput proteome annotations.

Authors:  Duane Szafron; Paul Lu; Russell Greiner; David S Wishart; Brett Poulin; Roman Eisner; Zhiyong Lu; John Anvik; Cam Macdonell; Alona Fyshe; David Meeuwis
Journal:  Nucleic Acids Res       Date:  2004-07-01       Impact factor: 16.971

3.  PA-GOSUB: a searchable database of model organism protein sequences with their predicted Gene Ontology molecular function and subcellular localization.

Authors:  Paul Lu; Duane Szafron; Russell Greiner; David S Wishart; Alona Fyshe; Brandon Pearcy; Brett Poulin; Roman Eisner; Danny Ngo; Nicholas Lamb
Journal:  Nucleic Acids Res       Date:  2005-01-01       Impact factor: 16.971

4.  Object-oriented biological system integration: a SARS coronavirus example.

Authors:  Daniel Shegogue; W Jim Zheng
Journal:  Bioinformatics       Date:  2005-02-24       Impact factor: 6.937

5.  DrugBank: a knowledgebase for drugs, drug actions and drug targets.

Authors:  David S Wishart; Craig Knox; An Chi Guo; Dean Cheng; Savita Shrivastava; Dan Tzur; Bijaya Gautam; Murtaza Hassanali
Journal:  Nucleic Acids Res       Date:  2007-11-29       Impact factor: 16.971

6.  GOPET: a tool for automated predictions of Gene Ontology terms.

Authors:  Arunachalam Vinayagam; Coral del Val; Falk Schubert; Roland Eils; Karl-Heinz Glatting; Sándor Suhai; Rainer König
Journal:  BMC Bioinformatics       Date:  2006-03-20       Impact factor: 3.169

7.  Applying Support Vector Machines for Gene Ontology based gene function prediction.

Authors:  Arunachalam Vinayagam; Rainer König; Jutta Moormann; Falk Schubert; Roland Eils; Karl-Heinz Glatting; Sándor Suhai
Journal:  BMC Bioinformatics       Date:  2004-08-26       Impact factor: 3.169

8.  Assessment of putative protein targets derived from the SARS genome.

Authors:  Lisa Yan; Mikhail Velikanov; Paul Flook; Wenjin Zheng; Sándor Szalma; Scott Kahn
Journal:  FEBS Lett       Date:  2003-11-20       Impact factor: 4.124

  8 in total

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