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    <identifier>10.11922/sciencedb.657</identifier>
    <datestamp>2018-10-08T15:31:39Z</datestamp>
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<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:date>2018-10-08</dc:date>
  <dc:title>A dataset of chemical drugs</dc:title>
  <dc:identifier>doi:10.11922/sciencedb.657</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>This study collected chemical drug data from book manuals. The collected data were then classified, summarized and standardized. Structured data of the drug compounds were integrated by using the method of compound unique identification. For quality control, we developed collection specifications and methods for data sampling and backtracking, which, coupled with algorithm programs, ensured the accuracy of the key data items. The dataset contains 1060 records that fall into two subsets: one for basic drug data and the other for drug compound data. This dataset provides data support for drug development, drug improvement, as well as relevant research and education, etc.</dc:description>
  <dc:subject>drug data;  chemical drugs;  drug compounds;  new drug research</dc:subject>
  <dc:creator>徐挺军</dc:creator>
  <dc:creator>赵英莉</dc:creator>
  <dc:creator>李英勇</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by/4.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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