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  <front>
    <journal-meta />
    <article-meta>
      <title-group>
        <article-title>Semantic Integration of Intrinsically Disordered Proteins and Existing DBs</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <string-name>Atsuko Yamaguchi</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Hideki Hatanaka</string-name>
          <email>hidekig@dbcls.rois.ac.jp</email>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Satoshi Fukuchi</string-name>
          <email>sfukuchi@maebashi-it.ac.jp</email>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Motonori Ota</string-name>
          <email>mota@i.nagoya-u.ac.jp</email>
          <xref ref-type="aff" rid="aff2">2</xref>
        </contrib>
        <aff id="aff0">
          <label>0</label>
          <institution>Database Center for Life Science (DBCLS), Research Organization of Information and Systems (ROIS).</institution>
          <addr-line>178-4-4 Wakashiba, Kashiwa, Chiba, 277-0871</addr-line>
          <country country="JP">Japan</country>
        </aff>
        <aff id="aff1">
          <label>1</label>
          <institution>Faculty of Engineering, Maebashi Institute of Technology.</institution>
          <addr-line>Maebashi 371-0816</addr-line>
          ,
          <country country="JP">Japan</country>
        </aff>
        <aff id="aff2">
          <label>2</label>
          <institution>Graduate School of Informatics, Nagoya University.</institution>
          <addr-line>Nagoya 464-8601</addr-line>
          ,
          <country country="JP">Japan</country>
        </aff>
      </contrib-group>
      <abstract>
        <p>IDEAL (http://www.ideal.force.cs.is.nagoya-u.ac.jp/IDEAL/) is one of the largest collections of experimentally veri ed intrinsically disordered proteins (IDPs) or intrinsically disordered regions (IDRs). It is known that IDPs and IDRs play important roles in crucial biological processes such as signal transaction and transcription control. Essentially, knowledge on IDPs and IDRs is complementary information of 3D structure of proteins stored in the wwPDB. In addition, comparison of regions of intrinsically disordered proteins with annotated regions stored in other biological databases such as UniProt may help a user to develop new biological knowledge. Therefore, we constructed the RDF version of IDEAL to facilitate semantic comparison with the existing DBs such as the wwPDB and UniProt.</p>
      </abstract>
      <kwd-group>
        <kwd>Linked Open Data</kwd>
        <kwd>database integration</kwd>
        <kwd>intrinsically disordered proteins</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec id="sec-1">
      <title>-</title>
      <p>
        Intrinsically disordered proteins (IDPs) are proteins that do not adopt unique
3D structures under physiological conditions. IDEAL (Intrinsically Disordered
proteins with Extensive Annotations and Literature) is a database that provides
a collection of knowledge on experimentally veri ed intrinsically disordered
proteins or intrinsically disordered regions (IDRs)[
        <xref ref-type="bibr" rid="ref1 ref2">1, 2</xref>
        ]. IDEAL contains manually
curated annotations on IDPs in locations, structures, and functional sites such as
protein binding regions and post-translational modi cation sites together with
references and structural domain assignments. As of October 2019, IDEAL
contains 11643 non-redundant IDRs and is the largest database of IDRs. All data
of IDEAL is available under the terms of the Creative Commons Attribution 4.0
      </p>
      <p>International License (CC BY 4.0).</p>
      <p>Copyright © 2019 for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).</p>
      <p>For each protein in IDEAL, order and disorder regions are annotated.
Disorder regions manually derived from literature are complementary information
of the wwPDB because the wwPDB provides 3D structures of proteins. On the
other hand, the reference of start and end positions of an IDR is an amino acid
sequence in UniProt. Therefore, it should be useful to integrate IDEAL with the
existing DBs such as the wwPDB and UniProt. Fortunately, the wwPDB and
UniProt have already been published as Linked Open Data (LOD). Therefore,
we constructed an RDF model of IDEAL to publish it as LOD.
2</p>
      <p>Result
To facilitate comparison with the existing databases, we designed an RDF model
to use ontologies and vocabularies used in the wwPDB and UniProt if possible.</p>
      <p>
        For example, to describe a start and end position of a region in IDEAL, we
employed FALDO[
        <xref ref-type="bibr" rid="ref3">3</xref>
        ] that is used by UniProt. By using FALDO for regions in
IDEAL, knowledge in IDEAL can be seamlessly merged to annotations from the
existing databases including UniProt. For an identi er for IDEAL, we used URLs
provided by identi ers.org[
        <xref ref-type="bibr" rid="ref4">4</xref>
        ]. Registered information for IDEAL is available at
https://registry.identi ers.org/registry/ideal. Additionally, we de ned 21 classes
and 65 properties that are necessary to describe annotations for IDRs.
      </p>
      <p>A le of IDEAL in RDF is downloadable in Turtle format from the IDEAL
site. A SPARQL endpoint for IDEAL, which uses Virtuoso 7, is accessible at
https://ideal-rdf.dbcls.jp/sparql. The numbers of triples is 2.7M. By providing
IDEAL in the RDF model, knowledge in IDEAL is integrated to the existing
databases in LOD through the wwPDB and UniProt. We believe that it helps a
user to nd new biological knowledge by combining annotations in IDEAL and
information from other biological databases in LOD.</p>
      <p>Acknowledgments This work was supported by JSPS KAKENHI grant
numbers 17K00434 and by the National Bioscience Database Center (NBDC) of the
Japan Science and Technology Agency (JST).</p>
    </sec>
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