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      Compound Repurposing Using Chemical and Biological Data – On Types of Information and Lessons Learned

      Published
      proceedings-article
        1 ,
      ScienceOpen
      RExPO22
      2-3 September, 2022
      Repurposing, Gene Expression Data, Predictivity, Information Contents
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            Abstract

            While drug repurposing has historically often been driven from clinical observations, the increasing amount of chemical and biological data available has led to a large increase of data-driven drug repurposing studies. In this presentation, we will review some of the studies from our own research in the area, and aim to derive some more general learnings on the information contents of chemical and biological data with respect to drug repurposing, with an emphasis on transcriptomics data.

            Content

            Author and article information

            Conference
            ScienceOpen
            13 August 2022
            Affiliations
            [1 ] Department of Chemistry, University of Cambridge
            Author notes
            Author information
            https://orcid.org/0000-0002-6683-7546
            Article
            10.14293/S2199-1006.1.SOR-.PPP8H3IG.v1
            4077eef9-62b0-4887-9b28-71c6d36086ec

            This work has been published open access under Creative Commons Attribution License CC BY 4.0 , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Conditions, terms of use and publishing policy can be found at www.scienceopen.com .

            RExPO22
            Maastricht, Netherlands
            2-3 September, 2022
            History
            : 13 August 2022

            Data sharing not applicable to this article as no datasets were generated or analysed during the current study.
            Information Contents,Predictivity,Gene Expression Data,Repurposing

            References

            1. Bender A.. Chapter 8. Using Artificial Intelligence for Drug RepurposingDrug Repurposing. p. 147–172. 2022. Royal Society of Chemistry. [Cross Ref]

            2. Bender Andreas, Cortes-Ciriano Isidro. Artificial intelligence in drug discovery: what is realistic, what are illusions? Part 2: a discussion of chemical and biological data. Drug Discovery Today. Vol. 26(4):1040–1052. 2021. Elsevier BV. [Cross Ref]

            3. Bender Andreas, Cortés-Ciriano Isidro. Artificial intelligence in drug discovery: what is realistic, what are illusions? Part 1: Ways to make an impact, and why we are not there yet. Drug Discovery Today. Vol. 26(2):511–524. 2021. Elsevier BV. [Cross Ref]

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