Feature-Based and String-Based Models for Predicting RNA-Protein Interaction.
Identifieur interne : 000913 ( PubMed/Checkpoint ); précédent : 000912; suivant : 000914Feature-Based and String-Based Models for Predicting RNA-Protein Interaction.
Auteurs : Donald Adjeroh [États-Unis] ; Maen Allaga [États-Unis] ; Jun Tan [États-Unis] ; Jie Lin [République populaire de Chine] ; Yue Jiang [République populaire de Chine] ; Ahmed Abbasi [États-Unis] ; Xiaobo Zhou [États-Unis]Source :
- Molecules (Basel, Switzerland) [ 1420-3049 ] ; 2018.
Descripteurs français
- KwdFr :
- MESH :
English descriptors
- KwdEn :
- MESH :
- chemical , chemistry : RNA, RNA-Binding Proteins.
- chemical , metabolism : RNA, RNA, Long Noncoding, RNA-Binding Proteins.
- Algorithms, Databases, Protein, Models, Molecular, Nucleic Acid Conformation.
Abstract
In this work, we study two approaches for the problem of RNA-Protein Interaction (RPI). In the first approach, we use a feature-based technique by combining extracted features from both sequences and secondary structures. The feature-based approach enhanced the prediction accuracy as it included much more available information about the RNA-protein pairs. In the second approach, we apply search algorithms and data structures to extract effective string patterns for prediction of RPI, using both sequence information (protein and RNA sequences), and structure information (protein and RNA secondary structures). This led to different string-based models for predicting interacting RNA-protein pairs. We show results that demonstrate the effectiveness of the proposed approaches, including comparative results against leading state-of-the-art methods.
DOI: 10.3390/molecules23030697
PubMed: 29562711
Affiliations:
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pubmed:29562711Le document en format XML
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<front><div type="abstract" xml:lang="en">In this work, we study two approaches for the problem of RNA-Protein Interaction (RPI). In the first approach, we use a feature-based technique by combining extracted features from both sequences and secondary structures. The feature-based approach enhanced the prediction accuracy as it included much more available information about the RNA-protein pairs. In the second approach, we apply search algorithms and data structures to extract effective string patterns for prediction of RPI, using both sequence information (protein and RNA sequences), and structure information (protein and RNA secondary structures). This led to different string-based models for predicting interacting RNA-protein pairs. We show results that demonstrate the effectiveness of the proposed approaches, including comparative results against leading state-of-the-art methods.</div>
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<ReferenceList><Reference><Citation>Biophys J. 1966 Nov;6(6):849-72</Citation>
<ArticleIdList><ArticleId IdType="pubmed">5972382</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Proteins. 2000 Nov 15;41(3):271-87</Citation>
<ArticleIdList><ArticleId IdType="pubmed">11025540</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Mol Pharm. 2016 May 2;13(5):1445-54</Citation>
<ArticleIdList><ArticleId IdType="pubmed">27007977</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Nat Methods. 2012 Mar 18;9(5):471-2</Citation>
<ArticleIdList><ArticleId IdType="pubmed">22426491</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>BMC Bioinformatics. 2011 Dec 22;12:489</Citation>
<ArticleIdList><ArticleId IdType="pubmed">22192482</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>BMC Bioinformatics. 2017 Feb 28;18(1):136</Citation>
<ArticleIdList><ArticleId IdType="pubmed">28245811</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Nucleic Acids Res. 2014 Jun;42(10):6146-57</Citation>
<ArticleIdList><ArticleId IdType="pubmed">24753415</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>BMC Bioinformatics. 2007 Aug 23;8:307</Citation>
<ArticleIdList><ArticleId IdType="pubmed">17716377</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Nucleic Acids Res. 2016 Feb 29;44(4):e32</Citation>
<ArticleIdList><ArticleId IdType="pubmed">26467480</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Nucleic Acids Res. 2011 Jan;39(Database issue):D277-82</Citation>
<ArticleIdList><ArticleId IdType="pubmed">21071426</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Semin Cell Dev Biol. 2011 Jun;22(4):359-65</Citation>
<ArticleIdList><ArticleId IdType="pubmed">21333748</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Nucleic Acids Res. 2003 Jul 1;31(13):3429-31</Citation>
<ArticleIdList><ArticleId IdType="pubmed">12824340</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Proc Natl Acad Sci U S A. 2008 Sep 30;105(39):14885-90</Citation>
<ArticleIdList><ArticleId IdType="pubmed">18815376</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Nucleic Acids Res. 2015 Feb 18;43(3):1370-9</Citation>
<ArticleIdList><ArticleId IdType="pubmed">25609700</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Mol Biosyst. 2013 Jan 27;9(1):133-42</Citation>
<ArticleIdList><ArticleId IdType="pubmed">23138266</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Nat Methods. 2015 Oct;12(10):931-4</Citation>
<ArticleIdList><ArticleId IdType="pubmed">26301843</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Nat Biotechnol. 2015 Aug;33(8):831-8</Citation>
<ArticleIdList><ArticleId IdType="pubmed">26213851</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Comput Appl Biosci. 1997 Aug;13(4):425-30</Citation>
<ArticleIdList><ArticleId IdType="pubmed">9283757</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Nucleic Acids Res. 1981 Jan 10;9(1):133-48</Citation>
<ArticleIdList><ArticleId IdType="pubmed">6163133</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Bioinformatics. 2009 Feb 1;25(3):413-4</Citation>
<ArticleIdList><ArticleId IdType="pubmed">19001476</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>J Proteome Res. 2012 Apr 6;11(4):2014-31</Citation>
<ArticleIdList><ArticleId IdType="pubmed">22385417</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>BMC Genomics. 2013 Sep 24;14:651</Citation>
<ArticleIdList><ArticleId IdType="pubmed">24063787</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Proc Natl Acad Sci U S A. 2007 Mar 13;104(11):4337-41</Citation>
<ArticleIdList><ArticleId IdType="pubmed">17360525</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>BMC Genomics. 2016 Aug 09;17:582</Citation>
<ArticleIdList><ArticleId IdType="pubmed">27506469</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Nat Rev Mol Cell Biol. 2015 Sep;16(9):533-44</Citation>
<ArticleIdList><ArticleId IdType="pubmed">26285679</ArticleId>
</ArticleIdList>
</Reference>
</ReferenceList>
</PubmedData>
</pubmed>
<affiliations><list><country><li>République populaire de Chine</li>
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<region><li>Fujian</li>
<li>Texas</li>
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<name sortKey="Tan, Jun" sort="Tan, Jun" uniqKey="Tan J" first="Jun" last="Tan">Jun Tan</name>
<name sortKey="Zhou, Xiaobo" sort="Zhou, Xiaobo" uniqKey="Zhou X" first="Xiaobo" last="Zhou">Xiaobo Zhou</name>
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<country name="République populaire de Chine"><region name="Fujian"><name sortKey="Lin, Jie" sort="Lin, Jie" uniqKey="Lin J" first="Jie" last="Lin">Jie Lin</name>
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