Description

Background
With the large amount of pharmacological and biological knowledge available in literature, finding novel drug indications for existing drugs using in silico approaches has become increasingly feasible. Typical literature-based

Background
With the large amount of pharmacological and biological knowledge available in literature, finding novel drug indications for existing drugs using in silico approaches has become increasingly feasible. Typical literature-based approaches generate new hypotheses in the form of protein-protein interactions networks by means of linking concepts based on their cooccurrences within abstracts. However, this kind of approaches tends to generate too many hypotheses, and identifying new drug indications from large networks can be a time-consuming process.
Methodology

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    Date Created
    • 2012-07-23
    Resource Type
  • Text
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    Identifier
    • Digital object identifier: 10.1371/journal.pone.0040946
    • Identifier Type
      International standard serial number
      Identifier Value
      1045-3830
    • Identifier Type
      International standard serial number
      Identifier Value
      1939-1560

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    Tari, L., Vo, N., Liang, S., Patel, J., Baral, C., & Cai, J. (2012). Identifying Novel Drug Indications through Automated Reasoning. PLoS ONE, 7(7). doi:10.1371/journal.pone.0040946

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