Synthetic Repurposing of Drugs in Hypertension: a Datamining Method Based on Association Rules and a Novel Discrete Algorithm Yosef Masoudi-Sobhanzadeh University of Tehran Ali Masoudi-Nejad (
[email protected] ) https://orcid.org/0000-0003-0659-5183 Methodology article Keywords: Data mining, Drug repurposing, Hypertension, Optimization algorithm, Synthetic repurposing Posted Date: May 11th, 2020 DOI: https://doi.org/10.21203/rs.3.rs-25124/v1 License: This work is licensed under a Creative Commons Attribution 4.0 International License. Read Full License Version of Record: A version of this preprint was published on July 16th, 2020. See the published version at https://doi.org/10.1186/s12859-020-03644-w. Synthetic Repurposing of Drugs in Hypertension: a Datamining Method Based on Association Rules and a Novel Discrete Algorithm Yosef Masoudi-Sobhanzadeh1,a, Ali Masoudi-Nejad1,* 1. Laboratory of Systems Biology and Bioinformatics (LBB), Institute of Biochemistry and Biophysics, University of Tehran, Tehran, Iran a
[email protected] *Corresponding Author Ali Masoudi-Nejad, Ph.D, Laboratory of Systems Biology and Bioinformatics (LBB) Institute of Biochemistry and Biophysics University of Tehran, Tehran, Iran. E-mail:
[email protected] WWW: http://LBB.ut.ac.ir 1 Abstract Background: Drug repurposing aims to detect the new benefits of the existing drugs and to reduce the spent time and cost of the drug development projects. Although synthetic repurposing of drugs may be more useful than single repurposing in terms of reducing toxicity and enhancing efficacy, the researchers have not taken it into account. To address the issue, a novel datamining method is introduced and applied to the repositioning of drugs in hypertension (HT), which is a serious medical condition and therefore needs to be dealt with effectively through making some improved treatment plans to help cure it.