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      Comprehensive network medicine-based drug repositioning via integration of therapeutic efficacy and side effects

      1 , 2 ,   3
      25-26 October 2023
      Network Medicine, Drug Repositioning, Side-Effects, Cardiovascolar Disease


            Despite advances in modern medicine that led to improvements in cardiovascular outcomes, cardiovascular disease (CVD) remains the leading cause of mortality and morbidity globally [1-2]. Thus, there is an urgent need for new approaches to improve CVD drug treatments. As the development time and cost of drug discovery to clinical application are excessive, alternate strategies for drug development are warranted. Among these are included computational approaches based on omics data for drug repositioning, which have attracted increasing attention [3-5]. We developed an adjusted similarity measure implemented by the algorithm SAveRUNNER [6-7] to reposition drugs for cardiovascular diseases while, at the same time, considering the side effects of drug candidates [8]. We analyzed nine cardiovascular disorders and two side effects. We formulated both disease disorders and side effects as network modules in the human interactome, and considered those drug candidates that are proximal to disease modules but far from side-effects modules as ideal. Our method provides a list of drug candidates for cardiovascular diseases that are unlikely to produce common, adverse side-effects [8]. This approach incorporating side effects is applicable to other diseases, as well.


            Author and article information

            5 October 2023
            [1 ] Sapienza, Rome (Italy);
            [2 ] Karolinska Institutet, Stockholm (Sweden) ( https://ror.org/056d84691)
            [3 ] Brigham and Women’s Hospital, Harvard Medical School, Boston, MA (USA) ( https://ror.org/04b6nzv94)
            Author information

            Published under Creative Commons Attribution 4.0 International ( CC BY 4.0). Users are allowed to share (copy and redistribute the material in any medium or format) and adapt (remix, transform, and build upon the material for any purpose, even commercially), as long as the authors and the publisher are explicitly identified and properly acknowledged as the original source.

            Stockholm, Sweden
            25-26 October 2023



            Data sharing not applicable to this article as no datasets were generated or analysed during the current study.
            Pharmacology & Pharmaceutical medicine
            Network Medicine,Drug Repositioning,Side-Effects,Cardiovascolar Disease


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            7. Fiscon Giulia, Conte Federica, Farina Lorenzo, Paci Paola. SAveRUNNER: A network-based algorithm for drug repurposing and its application to COVID-19. PLOS Computational Biology. Vol. 17(2)2021. Public Library of Science (PLoS). [Cross Ref]

            8. Paci Paola, Fiscon Giulia, Conte Federica, Wang Rui-Sheng, Handy Diane E., Farina Lorenzo, Loscalzo Joseph. Comprehensive network medicine-based drug repositioning via integration of therapeutic efficacy and side effects. npj Systems Biology and Applications. Vol. 8(1)2022. Springer Science and Business Media LLC. [Cross Ref]


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