MersV1, PubMed, Corpus, bibRecord, 000960

Feature-Based and String-Based Models for Predicting RNA-Protein Interaction.

Identifieur interne : 000960 ( PubMed/Corpus ); précédent : 000959; suivant : 000961

Feature-Based and String-Based Models for Predicting RNA-Protein Interaction.

Auteurs : Donald Adjeroh ; Maen Allaga ; Jun Tan ; Jie Lin ; Yue Jiang ; Ahmed Abbasi ; Xiaobo Zhou

Source :

Molecules (Basel, Switzerland) [ 1420-3049 ] ; 2018.

RBID : pubmed:29562711

English descriptors

KwdEn :
- Algorithms, Databases, Protein, Models, Molecular, Nucleic Acid Conformation, RNA (chemistry), RNA (metabolism), RNA, Long Noncoding (metabolism), RNA-Binding Proteins (chemistry), RNA-Binding Proteins (metabolism).
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

Links to Exploration step

pubmed:29562711

Le document en format XML

<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Feature-Based and String-Based Models for Predicting RNA-Protein Interaction.</title>
<author><name sortKey="Adjeroh, Donald" sort="Adjeroh, Donald" uniqKey="Adjeroh D" first="Donald" last="Adjeroh">Donald Adjeroh</name>
<affiliation><nlm:affiliation>Lane Department of Computer Science and Electrical Engineering, West Virginia University, Morgantown, WV 26508, USA. don@csee.wvu.edu.</nlm:affiliation>
</affiliation>
</author>
<author><name sortKey="Allaga, Maen" sort="Allaga, Maen" uniqKey="Allaga M" first="Maen" last="Allaga">Maen Allaga</name>
<affiliation><nlm:affiliation>Lane Department of Computer Science and Electrical Engineering, West Virginia University, Morgantown, WV 26508, USA. maenallaga@gmail.com.</nlm:affiliation>
</affiliation>
</author>
<author><name sortKey="Tan, Jun" sort="Tan, Jun" uniqKey="Tan J" first="Jun" last="Tan">Jun Tan</name>
<affiliation><nlm:affiliation>Lane Department of Computer Science and Electrical Engineering, West Virginia University, Morgantown, WV 26508, USA. jforce716@gmail.com.</nlm:affiliation>
</affiliation>
</author>
<author><name sortKey="Lin, Jie" sort="Lin, Jie" uniqKey="Lin J" first="Jie" last="Lin">Jie Lin</name>
<affiliation><nlm:affiliation>Faculty of Software, Fujian Normal University, Fuzhou 350108, China. linjie891@163.com.</nlm:affiliation>
</affiliation>
</author>
<author><name sortKey="Jiang, Yue" sort="Jiang, Yue" uniqKey="Jiang Y" first="Yue" last="Jiang">Yue Jiang</name>
<affiliation><nlm:affiliation>Faculty of Software, Fujian Normal University, Fuzhou 350108, China. yueljiang@163.com.</nlm:affiliation>
</affiliation>
</author>
<author><name sortKey="Abbasi, Ahmed" sort="Abbasi, Ahmed" uniqKey="Abbasi A" first="Ahmed" last="Abbasi">Ahmed Abbasi</name>
<affiliation><nlm:affiliation>McIntire School of Commerce, University of Virginia, Charlottesville, VA 22904, USA. ana6e@comm.virginia.edu.</nlm:affiliation>
</affiliation>
</author>
<author><name sortKey="Zhou, Xiaobo" sort="Zhou, Xiaobo" uniqKey="Zhou X" first="Xiaobo" last="Zhou">Xiaobo Zhou</name>
<affiliation><nlm:affiliation>McGovern Medical School, and School of Biomedical Informatics, The University of Texas Health Science Center at Houston (UTHealth), Houston, TX 77030, USA. Xiaobo.Zhou@uth.tmc.edu.</nlm:affiliation>
</affiliation>
</author>
</titleStmt>
<publicationStmt><idno type="wicri:source">PubMed</idno>
<date when="2018">2018</date>
<idno type="RBID">pubmed:29562711</idno>
<idno type="pmid">29562711</idno>
<idno type="doi">10.3390/molecules23030697</idno>
<idno type="wicri:Area/PubMed/Corpus">000960</idno>
<idno type="wicri:explorRef" wicri:stream="PubMed" wicri:step="Corpus" wicri:corpus="PubMed">000960</idno>
</publicationStmt>
<sourceDesc><biblStruct><analytic><title xml:lang="en">Feature-Based and String-Based Models for Predicting RNA-Protein Interaction.</title>
<author><name sortKey="Adjeroh, Donald" sort="Adjeroh, Donald" uniqKey="Adjeroh D" first="Donald" last="Adjeroh">Donald Adjeroh</name>
<affiliation><nlm:affiliation>Lane Department of Computer Science and Electrical Engineering, West Virginia University, Morgantown, WV 26508, USA. don@csee.wvu.edu.</nlm:affiliation>
</affiliation>
</author>
<author><name sortKey="Allaga, Maen" sort="Allaga, Maen" uniqKey="Allaga M" first="Maen" last="Allaga">Maen Allaga</name>
<affiliation><nlm:affiliation>Lane Department of Computer Science and Electrical Engineering, West Virginia University, Morgantown, WV 26508, USA. maenallaga@gmail.com.</nlm:affiliation>
</affiliation>
</author>
<author><name sortKey="Tan, Jun" sort="Tan, Jun" uniqKey="Tan J" first="Jun" last="Tan">Jun Tan</name>
<affiliation><nlm:affiliation>Lane Department of Computer Science and Electrical Engineering, West Virginia University, Morgantown, WV 26508, USA. jforce716@gmail.com.</nlm:affiliation>
</affiliation>
</author>
<author><name sortKey="Lin, Jie" sort="Lin, Jie" uniqKey="Lin J" first="Jie" last="Lin">Jie Lin</name>
<affiliation><nlm:affiliation>Faculty of Software, Fujian Normal University, Fuzhou 350108, China. linjie891@163.com.</nlm:affiliation>
</affiliation>
</author>
<author><name sortKey="Jiang, Yue" sort="Jiang, Yue" uniqKey="Jiang Y" first="Yue" last="Jiang">Yue Jiang</name>
<affiliation><nlm:affiliation>Faculty of Software, Fujian Normal University, Fuzhou 350108, China. yueljiang@163.com.</nlm:affiliation>
</affiliation>
</author>
<author><name sortKey="Abbasi, Ahmed" sort="Abbasi, Ahmed" uniqKey="Abbasi A" first="Ahmed" last="Abbasi">Ahmed Abbasi</name>
<affiliation><nlm:affiliation>McIntire School of Commerce, University of Virginia, Charlottesville, VA 22904, USA. ana6e@comm.virginia.edu.</nlm:affiliation>
</affiliation>
</author>
<author><name sortKey="Zhou, Xiaobo" sort="Zhou, Xiaobo" uniqKey="Zhou X" first="Xiaobo" last="Zhou">Xiaobo Zhou</name>
<affiliation><nlm:affiliation>McGovern Medical School, and School of Biomedical Informatics, The University of Texas Health Science Center at Houston (UTHealth), Houston, TX 77030, USA. Xiaobo.Zhou@uth.tmc.edu.</nlm:affiliation>
</affiliation>
</author>
</analytic>
<series><title level="j">Molecules (Basel, Switzerland)</title>
<idno type="eISSN">1420-3049</idno>
<imprint><date when="2018" type="published">2018</date>
</imprint>
</series>
</biblStruct>
</sourceDesc>
</fileDesc>
<profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Algorithms</term>
<term>Databases, Protein</term>
<term>Models, Molecular</term>
<term>Nucleic Acid Conformation</term>
<term>RNA (chemistry)</term>
<term>RNA (metabolism)</term>
<term>RNA, Long Noncoding (metabolism)</term>
<term>RNA-Binding Proteins (chemistry)</term>
<term>RNA-Binding Proteins (metabolism)</term>
</keywords>
<keywords scheme="MESH" type="chemical" qualifier="chemistry" xml:lang="en"><term>RNA</term>
<term>RNA-Binding Proteins</term>
</keywords>
<keywords scheme="MESH" type="chemical" qualifier="metabolism" xml:lang="en"><term>RNA</term>
<term>RNA, Long Noncoding</term>
<term>RNA-Binding Proteins</term>
</keywords>
<keywords scheme="MESH" xml:lang="en"><term>Algorithms</term>
<term>Databases, Protein</term>
<term>Models, Molecular</term>
<term>Nucleic Acid Conformation</term>
</keywords>
</textClass>
</profileDesc>
</teiHeader>
<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>
</front>
</TEI>
<pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">29562711</PMID>
<DateCompleted><Year>2018</Year>
<Month>09</Month>
<Day>03</Day>
</DateCompleted>
<DateRevised><Year>2019</Year>
<Month>01</Month>
<Day>09</Day>
</DateRevised>
<Article PubModel="Electronic"><Journal><ISSN IssnType="Electronic">1420-3049</ISSN>
<JournalIssue CitedMedium="Internet"><Volume>23</Volume>
<Issue>3</Issue>
<PubDate><Year>2018</Year>
<Month>Mar</Month>
<Day>19</Day>
</PubDate>
</JournalIssue>
<Title>Molecules (Basel, Switzerland)</Title>
<ISOAbbreviation>Molecules</ISOAbbreviation>
</Journal>
<ArticleTitle>Feature-Based and String-Based Models for Predicting RNA-Protein Interaction.</ArticleTitle>
<ELocationID EIdType="pii" ValidYN="Y">E697</ELocationID>
<ELocationID EIdType="doi" ValidYN="Y">10.3390/molecules23030697</ELocationID>
<Abstract><AbstractText>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.</AbstractText>
</Abstract>
<AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Adjeroh</LastName>
<ForeName>Donald</ForeName>
<Initials>D</Initials>
<AffiliationInfo><Affiliation>Lane Department of Computer Science and Electrical Engineering, West Virginia University, Morgantown, WV 26508, USA. don@csee.wvu.edu.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Allaga</LastName>
<ForeName>Maen</ForeName>
<Initials>M</Initials>
<AffiliationInfo><Affiliation>Lane Department of Computer Science and Electrical Engineering, West Virginia University, Morgantown, WV 26508, USA. maenallaga@gmail.com.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Tan</LastName>
<ForeName>Jun</ForeName>
<Initials>J</Initials>
<AffiliationInfo><Affiliation>Lane Department of Computer Science and Electrical Engineering, West Virginia University, Morgantown, WV 26508, USA. jforce716@gmail.com.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Lin</LastName>
<ForeName>Jie</ForeName>
<Initials>J</Initials>
<AffiliationInfo><Affiliation>Faculty of Software, Fujian Normal University, Fuzhou 350108, China. linjie891@163.com.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Jiang</LastName>
<ForeName>Yue</ForeName>
<Initials>Y</Initials>
<AffiliationInfo><Affiliation>Faculty of Software, Fujian Normal University, Fuzhou 350108, China. yueljiang@163.com.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Abbasi</LastName>
<ForeName>Ahmed</ForeName>
<Initials>A</Initials>
<AffiliationInfo><Affiliation>McIntire School of Commerce, University of Virginia, Charlottesville, VA 22904, USA. ana6e@comm.virginia.edu.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Zhou</LastName>
<ForeName>Xiaobo</ForeName>
<Initials>X</Initials>
<AffiliationInfo><Affiliation>McGovern Medical School, and School of Biomedical Informatics, The University of Texas Health Science Center at Houston (UTHealth), Houston, TX 77030, USA. Xiaobo.Zhou@uth.tmc.edu.</Affiliation>
</AffiliationInfo>
</Author>
</AuthorList>
<Language>eng</Language>
<GrantList CompleteYN="Y"><Grant><GrantID>R01 GM123037</GrantID>
<Acronym>GM</Acronym>
<Agency>NIGMS NIH HHS</Agency>
<Country>United States</Country>
</Grant>
<Grant><GrantID>U54 GM104942</GrantID>
<Acronym>GM</Acronym>
<Agency>NIGMS NIH HHS</Agency>
<Country>United States</Country>
</Grant>
</GrantList>
<PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType>
</PublicationTypeList>
<ArticleDate DateType="Electronic"><Year>2018</Year>
<Month>03</Month>
<Day>19</Day>
</ArticleDate>
</Article>
<MedlineJournalInfo><Country>Switzerland</Country>
<MedlineTA>Molecules</MedlineTA>
<NlmUniqueID>100964009</NlmUniqueID>
<ISSNLinking>1420-3049</ISSNLinking>
</MedlineJournalInfo>
<ChemicalList><Chemical><RegistryNumber>0</RegistryNumber>
<NameOfSubstance UI="D062085">RNA, Long Noncoding</NameOfSubstance>
</Chemical>
<Chemical><RegistryNumber>0</RegistryNumber>
<NameOfSubstance UI="D016601">RNA-Binding Proteins</NameOfSubstance>
</Chemical>
<Chemical><RegistryNumber>63231-63-0</RegistryNumber>
<NameOfSubstance UI="D012313">RNA</NameOfSubstance>
</Chemical>
</ChemicalList>
<CitationSubset>IM</CitationSubset>
<MeshHeadingList><MeshHeading><DescriptorName UI="D000465" MajorTopicYN="Y">Algorithms</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D030562" MajorTopicYN="N">Databases, Protein</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D008958" MajorTopicYN="Y">Models, Molecular</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D009690" MajorTopicYN="N">Nucleic Acid Conformation</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D012313" MajorTopicYN="N">RNA</DescriptorName>
<QualifierName UI="Q000737" MajorTopicYN="N">chemistry</QualifierName>
<QualifierName UI="Q000378" MajorTopicYN="Y">metabolism</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D062085" MajorTopicYN="N">RNA, Long Noncoding</DescriptorName>
<QualifierName UI="Q000378" MajorTopicYN="N">metabolism</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D016601" MajorTopicYN="N">RNA-Binding Proteins</DescriptorName>
<QualifierName UI="Q000737" MajorTopicYN="N">chemistry</QualifierName>
<QualifierName UI="Q000378" MajorTopicYN="Y">metabolism</QualifierName>
</MeshHeading>
</MeshHeadingList>
<KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="N">RNA Protein Interaction</Keyword>
<Keyword MajorTopicYN="N">RNA structure</Keyword>
<Keyword MajorTopicYN="N">RPI</Keyword>
<Keyword MajorTopicYN="N">k-mers</Keyword>
<Keyword MajorTopicYN="N">protein structure</Keyword>
<Keyword MajorTopicYN="N">richness</Keyword>
<Keyword MajorTopicYN="N">suffix trees</Keyword>
</KeywordList>
<CoiStatement>The authors declare no conflict of interest.</CoiStatement>
</MedlineCitation>
<PubmedData><History><PubMedPubDate PubStatus="received"><Year>2017</Year>
<Month>12</Month>
<Day>21</Day>
</PubMedPubDate>
<PubMedPubDate PubStatus="revised"><Year>2018</Year>
<Month>02</Month>
<Day>17</Day>
</PubMedPubDate>
<PubMedPubDate PubStatus="accepted"><Year>2018</Year>
<Month>02</Month>
<Day>21</Day>
</PubMedPubDate>
<PubMedPubDate PubStatus="entrez"><Year>2018</Year>
<Month>3</Month>
<Day>23</Day>
<Hour>6</Hour>
<Minute>0</Minute>
</PubMedPubDate>
<PubMedPubDate PubStatus="pubmed"><Year>2018</Year>
<Month>3</Month>
<Day>23</Day>
<Hour>6</Hour>
<Minute>0</Minute>
</PubMedPubDate>
<PubMedPubDate PubStatus="medline"><Year>2018</Year>
<Month>9</Month>
<Day>4</Day>
<Hour>6</Hour>
<Minute>0</Minute>
</PubMedPubDate>
</History>
<PublicationStatus>epublish</PublicationStatus>
<ArticleIdList><ArticleId IdType="pubmed">29562711</ArticleId>
<ArticleId IdType="pii">molecules23030697</ArticleId>
<ArticleId IdType="doi">10.3390/molecules23030697</ArticleId>
<ArticleId IdType="pmc">PMC6017419</ArticleId>
</ArticleIdList>
<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>
</record>

Pour manipuler ce document sous Unix (Dilib)

EXPLOR_STEP=$WICRI_ROOT/Sante/explor/MersV1/Data/PubMed/Corpus

HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000960 | SxmlIndent | more

HfdSelect -h $EXPLOR_AREA/Data/PubMed/Corpus/biblio.hfd -nk 000960 | SxmlIndent | more

Pour mettre un lien sur cette page dans le réseau Wicri

{{Explor lien
   |wiki=    Sante
   |area=    MersV1
   |flux=    PubMed
   |étape=   Corpus
   |type=    RBID
   |clé=     pubmed:29562711
   |texte=   Feature-Based and String-Based Models for Predicting RNA-Protein Interaction.
}}

Pour générer des pages wiki

HfdIndexSelect -h $EXPLOR_AREA/Data/PubMed/Corpus/RBID.i   -Sk "pubmed:29562711" \
       | HfdSelect -Kh $EXPLOR_AREA/Data/PubMed/Corpus/biblio.hfd   \
       | NlmPubMed2Wicri -a MersV1

This area was generated with Dilib version V0.6.33.
Data generation: Mon Apr 20 23:26:43 2020. Site generation: Sat Mar 27 09:06:09 2021

	Serveur d'exploration MERS
	Attention, ce site est en cours de développement ! Attention, site généré par des moyens informatiques à partir de corpus bruts. Les informations ne sont donc pas validées.

Serveur d'exploration MERS

Feature-Based and String-Based Models for Predicting RNA-Protein Interaction.

Feature-Based and String-Based Models for Predicting RNA-Protein Interaction.

Source :

English descriptors

Abstract

Links to Exploration step

Le document en format XML

Pour manipuler ce document sous Unix (Dilib)

Pour mettre un lien sur cette page dans le réseau Wicri

Pour générer des pages wiki