OralCard: a bioinformatic tool for the study of oral proteome.
Identifieur interne : 000252 ( PubMed/Corpus ); précédent : 000251; suivant : 000253OralCard: a bioinformatic tool for the study of oral proteome.
Auteurs : Joel P. Arrais ; Nuno Rosa ; José Melo ; Edgar D. Coelho ; Diana Amaral ; Maria José Correia ; Marlene Barros ; José Luís OliveiraSource :
- Archives of oral biology [ 1879-1506 ] ; 2013.
English descriptors
- KwdEn :
- Computational Biology (methods), Data Mining, Databases, Protein, Diabetes Mellitus, Type 2 (metabolism), Diabetes Mellitus, Type 2 (microbiology), Humans, Microbiota (physiology), Mouth (chemistry), Mouth (microbiology), Proteins (analysis), Proteins (physiology), Proteome, Proteomics (methods), Software Design.
- MESH :
- chemical , analysis : Proteins.
- chemistry : Mouth.
- metabolism : Diabetes Mellitus, Type 2.
- methods : Computational Biology, Proteomics.
- microbiology : Diabetes Mellitus, Type 2, Mouth.
- physiology : Microbiota, Proteins.
- Data Mining, Databases, Protein, Humans, Proteome, Software Design.
Abstract
The molecular complexity of the human oral cavity can only be clarified through identification of components that participate within it. However current proteomic techniques produce high volumes of information that are dispersed over several online databases. Collecting all of this data and using an integrative approach capable of identifying unknown associations is still an unsolved problem. This is the main motivation for this work.
DOI: 10.1016/j.archoralbio.2012.12.012
PubMed: 23395672
Links to Exploration step
pubmed:23395672Le document en format XML
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Coelho</name></author><author><name sortKey="Amaral, Diana" sort="Amaral, Diana" uniqKey="Amaral D" first="Diana" last="Amaral">Diana Amaral</name></author><author><name sortKey="Correia, Maria Jose" sort="Correia, Maria Jose" uniqKey="Correia M" first="Maria José" last="Correia">Maria José Correia</name></author><author><name sortKey="Barros, Marlene" sort="Barros, Marlene" uniqKey="Barros M" first="Marlene" last="Barros">Marlene Barros</name></author><author><name sortKey="Oliveira, Jose Luis" sort="Oliveira, Jose Luis" uniqKey="Oliveira J" first="José Luís" last="Oliveira">José Luís Oliveira</name></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2013">2013</date><idno type="doi">10.1016/j.archoralbio.2012.12.012</idno><idno type="RBID">pubmed:23395672</idno><idno type="pmid">23395672</idno><idno type="wicri:Area/PubMed/Corpus">000252</idno><idno type="wicri:explorRef" wicri:stream="PubMed" wicri:step="Corpus" wicri:corpus="PubMed">000252</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">OralCard: a bioinformatic tool for the study of oral proteome.</title><author><name sortKey="Arrais, Joel P" sort="Arrais, Joel P" uniqKey="Arrais J" first="Joel P" last="Arrais">Joel P. Arrais</name><affiliation><nlm:affiliation>Department of Electronics, Telecommunications and Informatics (DETI), Institute of Electronics and Telematics Engineering of Aveiro (IEETA), University of Aveiro, Portugal. jpa@ua.pt</nlm:affiliation></affiliation></author><author><name sortKey="Rosa, Nuno" sort="Rosa, Nuno" uniqKey="Rosa N" first="Nuno" last="Rosa">Nuno Rosa</name></author><author><name sortKey="Melo, Jose" sort="Melo, Jose" uniqKey="Melo J" first="José" last="Melo">José Melo</name></author><author><name sortKey="Coelho, Edgar D" sort="Coelho, Edgar D" uniqKey="Coelho E" first="Edgar D" last="Coelho">Edgar D. Coelho</name></author><author><name sortKey="Amaral, Diana" sort="Amaral, Diana" uniqKey="Amaral D" first="Diana" last="Amaral">Diana Amaral</name></author><author><name sortKey="Correia, Maria Jose" sort="Correia, Maria Jose" uniqKey="Correia M" first="Maria José" last="Correia">Maria José Correia</name></author><author><name sortKey="Barros, Marlene" sort="Barros, Marlene" uniqKey="Barros M" first="Marlene" last="Barros">Marlene Barros</name></author><author><name sortKey="Oliveira, Jose Luis" sort="Oliveira, Jose Luis" uniqKey="Oliveira J" first="José Luís" last="Oliveira">José Luís Oliveira</name></author></analytic><series><title level="j">Archives of oral biology</title><idno type="eISSN">1879-1506</idno><imprint><date when="2013" type="published">2013</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Computational Biology (methods)</term><term>Data Mining</term><term>Databases, Protein</term><term>Diabetes Mellitus, Type 2 (metabolism)</term><term>Diabetes Mellitus, Type 2 (microbiology)</term><term>Humans</term><term>Microbiota (physiology)</term><term>Mouth (chemistry)</term><term>Mouth (microbiology)</term><term>Proteins (analysis)</term><term>Proteins (physiology)</term><term>Proteome</term><term>Proteomics (methods)</term><term>Software Design</term></keywords><keywords scheme="MESH" type="chemical" qualifier="analysis" xml:lang="en"><term>Proteins</term></keywords><keywords scheme="MESH" qualifier="chemistry" xml:lang="en"><term>Mouth</term></keywords><keywords scheme="MESH" qualifier="metabolism" xml:lang="en"><term>Diabetes Mellitus, Type 2</term></keywords><keywords scheme="MESH" qualifier="methods" xml:lang="en"><term>Computational Biology</term><term>Proteomics</term></keywords><keywords scheme="MESH" qualifier="microbiology" xml:lang="en"><term>Diabetes Mellitus, Type 2</term><term>Mouth</term></keywords><keywords scheme="MESH" qualifier="physiology" xml:lang="en"><term>Microbiota</term><term>Proteins</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Data Mining</term><term>Databases, Protein</term><term>Humans</term><term>Proteome</term><term>Software Design</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">The molecular complexity of the human oral cavity can only be clarified through identification of components that participate within it. However current proteomic techniques produce high volumes of information that are dispersed over several online databases. Collecting all of this data and using an integrative approach capable of identifying unknown associations is still an unsolved problem. This is the main motivation for this work.</div></front></TEI><pubmed><MedlineCitation Owner="NLM" Status="MEDLINE"><PMID Version="1">23395672</PMID><DateCreated><Year>2013</Year><Month>05</Month><Day>28</Day></DateCreated><DateCompleted><Year>2014</Year><Month>01</Month><Day>30</Day></DateCompleted><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1879-1506</ISSN><JournalIssue CitedMedium="Internet"><Volume>58</Volume><Issue>7</Issue><PubDate><Year>2013</Year><Month>Jul</Month></PubDate></JournalIssue><Title>Archives of oral biology</Title><ISOAbbreviation>Arch. Oral Biol.</ISOAbbreviation></Journal><ArticleTitle>OralCard: a bioinformatic tool for the study of oral proteome.</ArticleTitle><Pagination><MedlinePgn>762-72</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1016/j.archoralbio.2012.12.012</ELocationID><ELocationID EIdType="pii" ValidYN="Y">S0003-9969(13)00003-4</ELocationID><Abstract><AbstractText Label="OBJECTIVES" NlmCategory="OBJECTIVE">The molecular complexity of the human oral cavity can only be clarified through identification of components that participate within it. However current proteomic techniques produce high volumes of information that are dispersed over several online databases. Collecting all of this data and using an integrative approach capable of identifying unknown associations is still an unsolved problem. This is the main motivation for this work.</AbstractText><AbstractText Label="RESULTS" NlmCategory="RESULTS">We present the online bioinformatic tool OralCard, which comprises results from 55 manually curated articles reflecting the oral molecular ecosystem (OralPhysiOme). It comprises experimental information available from the oral proteome both of human (OralOme) and microbial origin (MicroOralOme) structured in protein, disease and organism.</AbstractText><AbstractText Label="CONCLUSIONS" NlmCategory="CONCLUSIONS">This tool is a key resource for researchers to understand the molecular foundations implicated in biology and disease mechanisms of the oral cavity. The usefulness of this tool is illustrated with the analysis of the oral proteome associated with diabetes melitus type 2. OralCard is available at http://bioinformatics.ua.pt/oralcard.</AbstractText><CopyrightInformation>Copyright © 2013 Elsevier Ltd. All rights reserved.</CopyrightInformation></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Arrais</LastName><ForeName>Joel P</ForeName><Initials>JP</Initials><AffiliationInfo><Affiliation>Department of Electronics, Telecommunications and Informatics (DETI), Institute of Electronics and Telematics Engineering of Aveiro (IEETA), University of Aveiro, Portugal. jpa@ua.pt</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Rosa</LastName><ForeName>Nuno</ForeName><Initials>N</Initials></Author><Author ValidYN="Y"><LastName>Melo</LastName><ForeName>José</ForeName><Initials>J</Initials></Author><Author ValidYN="Y"><LastName>Coelho</LastName><ForeName>Edgar D</ForeName><Initials>ED</Initials></Author><Author ValidYN="Y"><LastName>Amaral</LastName><ForeName>Diana</ForeName><Initials>D</Initials></Author><Author ValidYN="Y"><LastName>Correia</LastName><ForeName>Maria José</ForeName><Initials>MJ</Initials></Author><Author ValidYN="Y"><LastName>Barros</LastName><ForeName>Marlene</ForeName><Initials>M</Initials></Author><Author ValidYN="Y"><LastName>Oliveira</LastName><ForeName>José Luís</ForeName><Initials>JL</Initials></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType><PublicationType UI="D013485">Research Support, Non-U.S. Gov't</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2013</Year><Month>02</Month><Day>08</Day></ArticleDate></Article><MedlineJournalInfo><Country>England</Country><MedlineTA>Arch Oral Biol</MedlineTA><NlmUniqueID>0116711</NlmUniqueID><ISSNLinking>0003-9969</ISSNLinking></MedlineJournalInfo><ChemicalList><Chemical><RegistryNumber>0</RegistryNumber><NameOfSubstance UI="D011506">Proteins</NameOfSubstance></Chemical><Chemical><RegistryNumber>0</RegistryNumber><NameOfSubstance UI="D020543">Proteome</NameOfSubstance></Chemical></ChemicalList><CitationSubset>D</CitationSubset><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName MajorTopicYN="N" UI="D019295">Computational Biology</DescriptorName><QualifierName MajorTopicYN="Y" UI="Q000379">methods</QualifierName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D057225">Data Mining</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="Y" UI="D030562">Databases, Protein</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D003924">Diabetes Mellitus, Type 2</DescriptorName><QualifierName MajorTopicYN="N" UI="Q000378">metabolism</QualifierName><QualifierName MajorTopicYN="Y" UI="Q000382">microbiology</QualifierName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D006801">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D064307">Microbiota</DescriptorName><QualifierName MajorTopicYN="N" UI="Q000502">physiology</QualifierName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D009055">Mouth</DescriptorName><QualifierName MajorTopicYN="Y" UI="Q000737">chemistry</QualifierName><QualifierName MajorTopicYN="N" UI="Q000382">microbiology</QualifierName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D011506">Proteins</DescriptorName><QualifierName MajorTopicYN="Y" UI="Q000032">analysis</QualifierName><QualifierName MajorTopicYN="N" UI="Q000502">physiology</QualifierName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D020543">Proteome</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D040901">Proteomics</DescriptorName><QualifierName MajorTopicYN="Y" UI="Q000379">methods</QualifierName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="Y" UI="D012985">Software Design</DescriptorName></MeshHeading></MeshHeadingList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2012</Year><Month>7</Month><Day>8</Day></PubMedPubDate><PubMedPubDate PubStatus="revised"><Year>2012</Year><Month>11</Month><Day>26</Day></PubMedPubDate><PubMedPubDate PubStatus="accepted"><Year>2012</Year><Month>12</Month><Day>30</Day></PubMedPubDate><PubMedPubDate PubStatus="aheadofprint"><Year>2013</Year><Month>2</Month><Day>8</Day></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2013</Year><Month>2</Month><Day>12</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2013</Year><Month>2</Month><Day>12</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2014</Year><Month>1</Month><Day>31</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pii">S0003-9969(13)00003-4</ArticleId><ArticleId IdType="doi">10.1016/j.archoralbio.2012.12.012</ArticleId><ArticleId IdType="pubmed">23395672</ArticleId></ArticleIdList></PubmedData></pubmed></record>Pour manipuler ce document sous Unix (Dilib)
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