Abstract:
:As one of the most important fundamental problems in protein sequence analysis, protein remote homology detection is critical for both theoretical research (protein structure and function studies) and real world applications (drug design). Although several computational predictors have been proposed, their detection performance is still limited. In this study, we treat protein remote homology detection as a document retrieval task, where the proteins are considered as documents and its aim is to find the highly related documents with the query documents in a database. A protein similarity network was constructed based on the true labels of proteins in the database, and the query proteins were then connected into the network based on the similarity scores calculated by three ranking methods, including PSI-BLAST, Hmmer and HHblits. The PageRank algorithm and Hyperlink-Induced Topic Search (HITS) algorithm were respectively performed on this network to move the homologous proteins of query proteins to the neighbors of the query proteins in the network. Finally, PageRank and HITS algorithms were combined, and a predictor called HITS-PR-HHblits was proposed to further improve the predictive performance. Tested on the SCOP and SCOPe benchmark datasets, the experimental results showed that the proposed protocols outperformed other state-of-the-art methods. For the convenience of the most experimental scientists, a web server for HITS-PR-HHblits was established at http://bioinformatics.hitsz.edu.cn/HITS-PR-HHblits, by which the users can easily get the results without the need to go through the mathematical details. The HITS-PR-HHblits predictor is a protocol for protein remote homology detection using different sets of programs, which will become a very useful computational tool for proteome analysis.
journal_name
Brief Bioinformjournal_title
Briefings in bioinformaticsauthors
Liu B,Jiang S,Zou Qdoi
10.1093/bib/bby104subject
Has Abstractpub_date
2018-11-07 00:00:00eissn
1467-5463issn
1477-4054pii
5150482pub_type
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journal_title:Briefings in bioinformatics
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journal_title:Briefings in bioinformatics
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journal_title:Briefings in bioinformatics
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journal_title:Briefings in bioinformatics
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journal_title:Briefings in bioinformatics
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更新日期:2013-03-01 00:00:00
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journal_title:Briefings in bioinformatics
pub_type: 杂志文章
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更新日期:2014-07-01 00:00:00
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journal_title:Briefings in bioinformatics
pub_type: 杂志文章
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abstract:MOTIVATION:Over the past decade, the field of next-generation sequencing (NGS) has seen dramatic advances in methods and a decrease in costs. Consequently, a large expansion of data has been generated by NGS, most of which have originated from RNA-sequencing (RNA-seq) experiments. Because mitochondrial genes are expres...
journal_title:Briefings in bioinformatics
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abstract::This Briefing reviews the widely used, currently active, up-to-date databases derived from the worldwide Protein Data Bank (PDB) to facilitate browsing, finding and exploring its entries. These databases contain visualization and analysis tools tailored to specific kinds of molecules and interactions, often including ...
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