An emerging cyberinfrastructure for biodefense pathogen and pathogen–host data
Identifieur interne : 000F02 ( Main/Exploration ); précédent : 000F01; suivant : 000F03An emerging cyberinfrastructure for biodefense pathogen and pathogen–host data
Auteurs : C. Zhang [États-Unis] ; O. Crasta [États-Unis] ; S. Cammer [États-Unis] ; R. Will [États-Unis] ; R. Kenyon [États-Unis] ; D. Sullivan [États-Unis] ; Q. Yu [États-Unis] ; W. Sun [États-Unis] ; R. Jha [États-Unis] ; D. Liu [États-Unis] ; T. Xue [États-Unis] ; Y. Zhang [États-Unis] ; M. Moore [États-Unis] ; P. Mcgarvey [États-Unis] ; H. Huang [États-Unis] ; Y. Chen [États-Unis] ; J. Zhang [États-Unis] ; R. Mazumder [États-Unis] ; C. Wu [États-Unis] ; B. Sobral [États-Unis]Source :
- Nucleic Acids Research [ 0305-1048 ] ; 2007.
English descriptors
- KwdEn :
- Animals, Bacterial Proteins (chemistry), Bacterial Proteins (genetics), Bacterial Proteins (metabolism), Bioterrorism, Computer Graphics, Databases, Protein, Gene Expression Profiling, Host-Pathogen Interactions, Humans, Infection (diagnosis), Infection (therapy), Internet, Mice, Proteomics, Protozoan Proteins (chemistry), Protozoan Proteins (genetics), Protozoan Proteins (metabolism), Software, User-Computer Interface, Viral Proteins (chemistry), Viral Proteins (genetics), Viral Proteins (metabolism).
- MESH :
- chemical , chemistry : Bacterial Proteins, Protozoan Proteins, Viral Proteins.
- chemical , genetics : Bacterial Proteins, Protozoan Proteins, Viral Proteins.
- chemical , metabolism : Bacterial Proteins, Protozoan Proteins, Viral Proteins.
- diagnosis : Infection.
- therapy : Infection.
- Animals, Bioterrorism, Computer Graphics, Databases, Protein, Gene Expression Profiling, Host-Pathogen Interactions, Humans, Internet, Mice, Proteomics, Software, User-Computer Interface.
Abstract
The NIAID-funded Biodefense Proteomics Resource Center (RC) provides storage, dissemination, visualization and analysis capabilities for the experimental data deposited by seven Proteomics Research Centers (PRCs). The data and its publication is to support researchers working to discover candidates for the next generation of vaccines, therapeutics and diagnostics against NIAID's Category A, B and C priority pathogens. The data includes transcriptional profiles, protein profiles, protein structural data and host–pathogen protein interactions, in the context of the pathogen life cycle
Url:
DOI: 10.1093/nar/gkm903
PubMed: 17984082
PubMed Central: 2239001
Affiliations:
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Le document en format XML
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<country xml:lang="fr">États-Unis</country>
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<placeName><region type="state">District de Columbia</region>
</placeName>
</affiliation>
</author>
<author><name sortKey="Sobral, B" sort="Sobral, B" uniqKey="Sobral B" first="B." last="Sobral">B. Sobral</name>
<affiliation wicri:level="2"><nlm:aff id="AFF1">Virginia Bioinformatics Institute at Virginia Polytechnic Institute and State University, Washington Street (0477), Blacksburg, VA 24061,</nlm:aff>
<country xml:lang="fr">États-Unis</country>
<placeName><region type="state">Virginie</region>
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<wicri:cityArea>Virginia Bioinformatics Institute at Virginia Polytechnic Institute and State University, Washington Street (0477), Blacksburg</wicri:cityArea>
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<series><title level="j">Nucleic Acids Research</title>
<idno type="ISSN">0305-1048</idno>
<idno type="eISSN">1362-4962</idno>
<imprint><date when="2007">2007</date>
</imprint>
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<profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Animals</term>
<term>Bacterial Proteins (chemistry)</term>
<term>Bacterial Proteins (genetics)</term>
<term>Bacterial Proteins (metabolism)</term>
<term>Bioterrorism</term>
<term>Computer Graphics</term>
<term>Databases, Protein</term>
<term>Gene Expression Profiling</term>
<term>Host-Pathogen Interactions</term>
<term>Humans</term>
<term>Infection (diagnosis)</term>
<term>Infection (therapy)</term>
<term>Internet</term>
<term>Mice</term>
<term>Proteomics</term>
<term>Protozoan Proteins (chemistry)</term>
<term>Protozoan Proteins (genetics)</term>
<term>Protozoan Proteins (metabolism)</term>
<term>Software</term>
<term>User-Computer Interface</term>
<term>Viral Proteins (chemistry)</term>
<term>Viral Proteins (genetics)</term>
<term>Viral Proteins (metabolism)</term>
</keywords>
<keywords scheme="MESH" type="chemical" qualifier="chemistry" xml:lang="en"><term>Bacterial Proteins</term>
<term>Protozoan Proteins</term>
<term>Viral Proteins</term>
</keywords>
<keywords scheme="MESH" type="chemical" qualifier="genetics" xml:lang="en"><term>Bacterial Proteins</term>
<term>Protozoan Proteins</term>
<term>Viral Proteins</term>
</keywords>
<keywords scheme="MESH" type="chemical" qualifier="metabolism" xml:lang="en"><term>Bacterial Proteins</term>
<term>Protozoan Proteins</term>
<term>Viral Proteins</term>
</keywords>
<keywords scheme="MESH" qualifier="diagnosis" xml:lang="en"><term>Infection</term>
</keywords>
<keywords scheme="MESH" qualifier="therapy" xml:lang="en"><term>Infection</term>
</keywords>
<keywords scheme="MESH" xml:lang="en"><term>Animals</term>
<term>Bioterrorism</term>
<term>Computer Graphics</term>
<term>Databases, Protein</term>
<term>Gene Expression Profiling</term>
<term>Host-Pathogen Interactions</term>
<term>Humans</term>
<term>Internet</term>
<term>Mice</term>
<term>Proteomics</term>
<term>Software</term>
<term>User-Computer Interface</term>
</keywords>
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<front><div type="abstract" xml:lang="en"><p>The NIAID-funded Biodefense Proteomics Resource Center (RC) provides storage, dissemination, visualization and analysis capabilities for the experimental data deposited by seven Proteomics Research Centers (PRCs). The data and its publication is to support researchers working to discover candidates for the next generation of vaccines, therapeutics and diagnostics against NIAID's Category A, B and C priority pathogens. The data includes transcriptional profiles, protein profiles, protein structural data and host–pathogen protein interactions, in the context of the pathogen life cycle <italic>in vivo</italic>
and <italic>in vitro</italic>
. The database has stored and supported host or pathogen data derived from <italic>Bacillus, Brucella, Cryptosporidium</italic>
, <italic>Salmonella</italic>
, SARS, <italic>Toxoplasma, Vibrio</italic>
and <italic>Yersinia</italic>
, human tissue libraries, and mouse macrophages. These publicly available data cover diverse data types such as mass spectrometry, yeast two-hybrid (Y2H), gene expression profiles, X-ray and NMR determined protein structures and protein expression clones. The growing database covers over 23 000 unique genes/proteins from different experiments and organisms. All of the genes/proteins are annotated and integrated across experiments using UniProt Knowledgebase (UniProtKB) accession numbers. The web-interface for the database enables searching, querying and downloading at the level of experiment, group and individual gene(s)/protein(s) via UniProtKB accession numbers or protein function keywords. The system is accessible at <ext-link ext-link-type="uri" xlink:href="http://www.proteomicsresource.org/">http://www.proteomicsresource.org/</ext-link>
.</p>
</div>
</front>
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</div1>
</back>
</TEI>
<affiliations><list><country><li>États-Unis</li>
</country>
<region><li>District de Columbia</li>
<li>Maryland</li>
<li>Virginie</li>
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</tree>
</affiliations>
</record>
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