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Drug repurposing improves disease targeting 11-fold and can be augmented by network module targeting, applied to COVID-19
Stockholm University, Faculty of Science, Department of Biochemistry and Biophysics. Stockholm University, Science for Life Laboratory (SciLifeLab).
Stockholm University, Faculty of Science, Department of Biochemistry and Biophysics. Stockholm University, Science for Life Laboratory (SciLifeLab).
Stockholm University, Faculty of Science, Department of Biochemistry and Biophysics. Stockholm University, Science for Life Laboratory (SciLifeLab).
Stockholm University, Faculty of Science, Department of Biochemistry and Biophysics. Stockholm University, Science for Life Laboratory (SciLifeLab).
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Number of Authors: 52021 (English)In: Scientific Reports, E-ISSN 2045-2322, Vol. 11, no 1, article id 20687Article in journal (Refereed) Published
Abstract [en]

This analysis presents a systematic evaluation of the extent of therapeutic opportunities that can be obtained from drug repurposing by connecting drug targets with disease genes. When using FDA-approved indications as a reference level we found that drug repurposing can offer an average of an 11-fold increase in disease coverage, with the maximum number of diseases covered per drug being increased from 134 to 167 after extending the drug targets with their high confidence first neighbors. Additionally, by network analysis to connect drugs to disease modules we found that drugs on average target 4 disease modules, yet the similarity between disease modules targeted by the same drug is generally low and the maximum number of disease modules targeted per drug increases from 158 to 229 when drug targets are neighbor-extended. Moreover, our results highlight that drug repurposing is more dependent on target proteins being shared between diseases than on polypharmacological properties of drugs. We apply our drug repurposing and network module analysis to COVID-19 and show that Fostamatinib is the drug with the highest module coverage.

Place, publisher, year, edition, pages
2021. Vol. 11, no 1, article id 20687
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Pharmaceutical Sciences
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URN: urn:nbn:se:su:diva-198780DOI: 10.1038/s41598-021-99721-yISI: 000709050100015PubMedID: 34667255OAI: oai:DiVA.org:su-198780DiVA, id: diva2:1611974
Available from: 2021-11-16 Created: 2021-11-16 Last updated: 2022-09-15Bibliographically approved

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Castresana-Aguirre, MiguelGuala, DimitriSonnhammer, Erik L. L.

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