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PubMed · 12002222

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

David H Kitson·Azat Badretdinov·Zhan-yang Zhu·Mikhail Velikanov·David J Edwards·Krzysztof Olszewski·Sándor Szalma·Lisa Yan
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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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Consensus SequenceDatabases, GeneticProteomeSequence Analysis, ProteinStructure-Activity RelationshipJournal Article

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BibTeXRIS

David H Kitson, Azat Badretdinov, Zhan-yang Zhu, Mikhail Velikanov, David J Edwards, Krzysztof Olszewski, Sándor Szalma, Lisa Yan. 2002. Functional annotation of proteomic sequences based on consensus of sequence and structural analysis.. https://doi.org/10.1093/bib%2F3.1.32

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