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<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Nanoinformatics knowledge infrastructures: bringing efficient information management to nanomedical research</title>
<author><name sortKey="De La Iglesia, D" sort="De La Iglesia, D" uniqKey="De La Iglesia D" first="D" last="De La Iglesia">D. De La Iglesia</name>
<affiliation><nlm:aff id="A1">Biomedical Informatics Group, Dept. Inteligencia Artificial, Facultad de Informatica, Universidad Politecnica de Madrid, 28660, Boadilla del Monte, Madrid, Spain</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Cachau, R E" sort="Cachau, R E" uniqKey="Cachau R" first="R E" last="Cachau">R E Cachau</name>
<affiliation><nlm:aff id="A2">Advanced Biomedical Computing Center, National Cancer Institute, SAIC-Frederick Inc., Frederick National Laboratory for Cancer Research, Frederick, MD 21702, USA</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Garcia Remesal, M" sort="Garcia Remesal, M" uniqKey="Garcia Remesal M" first="M" last="García-Remesal">M. García-Remesal</name>
<affiliation><nlm:aff id="A1">Biomedical Informatics Group, Dept. Inteligencia Artificial, Facultad de Informatica, Universidad Politecnica de Madrid, 28660, Boadilla del Monte, Madrid, Spain</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Maojo, V" sort="Maojo, V" uniqKey="Maojo V" first="V" last="Maojo">V. Maojo</name>
<affiliation><nlm:aff id="A1">Biomedical Informatics Group, Dept. Inteligencia Artificial, Facultad de Informatica, Universidad Politecnica de Madrid, 28660, Boadilla del Monte, Madrid, Spain</nlm:aff>
</affiliation>
</author>
</titleStmt>
<publicationStmt><idno type="wicri:source">PMC</idno>
<idno type="pmid">24932210</idno>
<idno type="pmc">4053539</idno>
<idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4053539</idno>
<idno type="RBID">PMC:4053539</idno>
<idno type="doi">10.1088/1749-4699/6/1/014011</idno>
<date when="2013">2013</date>
<idno type="wicri:Area/Pmc/Corpus">000441</idno>
</publicationStmt>
<sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main">Nanoinformatics knowledge infrastructures: bringing efficient information management to nanomedical research</title>
<author><name sortKey="De La Iglesia, D" sort="De La Iglesia, D" uniqKey="De La Iglesia D" first="D" last="De La Iglesia">D. De La Iglesia</name>
<affiliation><nlm:aff id="A1">Biomedical Informatics Group, Dept. Inteligencia Artificial, Facultad de Informatica, Universidad Politecnica de Madrid, 28660, Boadilla del Monte, Madrid, Spain</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Cachau, R E" sort="Cachau, R E" uniqKey="Cachau R" first="R E" last="Cachau">R E Cachau</name>
<affiliation><nlm:aff id="A2">Advanced Biomedical Computing Center, National Cancer Institute, SAIC-Frederick Inc., Frederick National Laboratory for Cancer Research, Frederick, MD 21702, USA</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Garcia Remesal, M" sort="Garcia Remesal, M" uniqKey="Garcia Remesal M" first="M" last="García-Remesal">M. García-Remesal</name>
<affiliation><nlm:aff id="A1">Biomedical Informatics Group, Dept. Inteligencia Artificial, Facultad de Informatica, Universidad Politecnica de Madrid, 28660, Boadilla del Monte, Madrid, Spain</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Maojo, V" sort="Maojo, V" uniqKey="Maojo V" first="V" last="Maojo">V. Maojo</name>
<affiliation><nlm:aff id="A1">Biomedical Informatics Group, Dept. Inteligencia Artificial, Facultad de Informatica, Universidad Politecnica de Madrid, 28660, Boadilla del Monte, Madrid, Spain</nlm:aff>
</affiliation>
</author>
</analytic>
<series><title level="j">Computational science & discovery</title>
<idno type="eISSN">1749-4699</idno>
<imprint><date when="2013">2013</date>
</imprint>
</series>
</biblStruct>
</sourceDesc>
</fileDesc>
<profileDesc><textClass></textClass>
</profileDesc>
</teiHeader>
<front><div type="abstract" xml:lang="en"><p id="P1">Nanotechnology represents an area of particular promise and significant opportunity across multiple scientific disciplines. Ongoing nanotechnology research ranges from the characterization of nanoparticles and nanomaterials to the analysis and processing of experimental data seeking correlations between nanoparticles and their functionalities and side effects. Due to their special properties, nanoparticles are suitable for cellular-level diagnostics and therapy, offering numerous applications in medicine, e.g. development of biomedical devices, tissue repair, drug delivery systems and biosensors. In nanomedicine, recent studies are producing large amounts of structural and property data, highlighting the role for computational approaches in information management. While <italic>in vitro</italic>
and <italic>in vivo</italic>
assays are expensive, the cost of computing is falling. Furthermore, improvements in the accuracy of computational methods (e.g. data mining, knowledge discovery, modeling and simulation) have enabled effective tools to automate the extraction, management and storage of these vast data volumes. Since this information is widely distributed, one major issue is how to locate and access data where it resides (which also poses data-sharing limitations). The novel discipline of nanoinformatics addresses the information challenges related to nanotechnology research. In this paper, we summarize the needs and challenges in the field and present an overview of extant initiatives and efforts.</p>
</div>
</front>
</TEI>
<pmc article-type="research-article"><pmc-comment>The publisher of this article does not allow downloading of the full text in XML form.</pmc-comment>
<pmc-dir>properties manuscript</pmc-dir>
<front><journal-meta><journal-id journal-id-type="nlm-journal-id">101560163</journal-id>
<journal-id journal-id-type="pubmed-jr-id">39212</journal-id>
<journal-id journal-id-type="nlm-ta">Comput Sci Discov</journal-id>
<journal-id journal-id-type="iso-abbrev">Comput Sci Discov</journal-id>
<journal-title-group><journal-title>Computational science & discovery</journal-title>
</journal-title-group>
<issn pub-type="epub">1749-4699</issn>
</journal-meta>
<article-meta><article-id pub-id-type="pmid">24932210</article-id>
<article-id pub-id-type="pmc">4053539</article-id>
<article-id pub-id-type="doi">10.1088/1749-4699/6/1/014011</article-id>
<article-id pub-id-type="manuscript">NIHMS581421</article-id>
<article-categories><subj-group subj-group-type="heading"><subject>Article</subject>
</subj-group>
</article-categories>
<title-group><article-title>Nanoinformatics knowledge infrastructures: bringing efficient information management to nanomedical research</article-title>
</title-group>
<contrib-group><contrib contrib-type="author"><name><surname>de la Iglesia</surname>
<given-names>D</given-names>
</name>
<xref ref-type="aff" rid="A1">1</xref>
<xref rid="FN1" ref-type="author-notes">3</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Cachau</surname>
<given-names>R E</given-names>
</name>
<xref ref-type="aff" rid="A2">2</xref>
</contrib>
<contrib contrib-type="author"><name><surname>García-Remesal</surname>
<given-names>M</given-names>
</name>
<xref ref-type="aff" rid="A1">1</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Maojo</surname>
<given-names>V</given-names>
</name>
<xref ref-type="aff" rid="A1">1</xref>
</contrib>
</contrib-group>
<aff id="A1"><label>1</label>
Biomedical Informatics Group, Dept. Inteligencia Artificial, Facultad de Informatica, Universidad Politecnica de Madrid, 28660, Boadilla del Monte, Madrid, Spain</aff>
<aff id="A2"><label>2</label>
Advanced Biomedical Computing Center, National Cancer Institute, SAIC-Frederick Inc., Frederick National Laboratory for Cancer Research, Frederick, MD 21702, USA</aff>
<author-notes><corresp id="FN1"><label>3</label>
Corresponding Author: Diana de la Iglesia. Biomedical Informatics Group, Departamento de Inteligencia Artificial. Facultad de Informática, Universidad Politécnica de Madrid. Boadilla del Monte, 28660 Madrid, Spain. <email>diglesia@infomed.dia.fi.upm.es</email>
. Tel: (+34) 91 336 74 67. Fax: (+34) 91 352 48 19</corresp>
</author-notes>
<pub-date pub-type="nihms-submitted"><day>9</day>
<month>5</month>
<year>2014</year>
</pub-date>
<pub-date pub-type="epub"><day>27</day>
<month>11</month>
<year>2013</year>
</pub-date>
<pub-date pub-type="pmc-release"><day>27</day>
<month>11</month>
<year>2014</year>
</pub-date>
<volume>6</volume>
<issue>1</issue>
<fpage>014011</fpage>
<lpage></lpage>
<pmc-comment>elocation-id from pubmed: 10.1088/1749-4699/6/1/014011</pmc-comment>
<abstract><p id="P1">Nanotechnology represents an area of particular promise and significant opportunity across multiple scientific disciplines. Ongoing nanotechnology research ranges from the characterization of nanoparticles and nanomaterials to the analysis and processing of experimental data seeking correlations between nanoparticles and their functionalities and side effects. Due to their special properties, nanoparticles are suitable for cellular-level diagnostics and therapy, offering numerous applications in medicine, e.g. development of biomedical devices, tissue repair, drug delivery systems and biosensors. In nanomedicine, recent studies are producing large amounts of structural and property data, highlighting the role for computational approaches in information management. While <italic>in vitro</italic>
and <italic>in vivo</italic>
assays are expensive, the cost of computing is falling. Furthermore, improvements in the accuracy of computational methods (e.g. data mining, knowledge discovery, modeling and simulation) have enabled effective tools to automate the extraction, management and storage of these vast data volumes. Since this information is widely distributed, one major issue is how to locate and access data where it resides (which also poses data-sharing limitations). The novel discipline of nanoinformatics addresses the information challenges related to nanotechnology research. In this paper, we summarize the needs and challenges in the field and present an overview of extant initiatives and efforts.</p>
</abstract>
</article-meta>
</front>
</pmc>
</record>
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