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The COVID-19 PHARMACOME: Rational Selection of Drug Repurposing Candidates from Multimodal Knowledge Harmonization
Bruce T Schultz; Andrea Zaliani; Christian Ebeling; Jeanette Reinshagen; Denisa Bojkova; Vanessa Lage-Rupprecht; Reagon Karki; Soeren Lukassen; Yojana Gadiya; Neal Giri Ravindra; Sayoni Das; Shounak Baksi; Daniel Domingo-Fernandez; Manuel Lentzen; Mark Strivens; Tamara Raschka; Jindrich Cinatl Jr.; Lauren Nicole DeLong; Philip Gribbon; Gerd Geisslinger; Sandra Ciesek; David van Dijk Jr.; Steve Gardner; Alpha Tom Kodamullil; Holger Froehlich; Manuel Peitsch; Marc Jacobs; Julia Hoeng; Roland Eils; Carsten Claussen; Martin Hofmann-Apitius.
Affiliation
  • Bruce T Schultz; Fraunhofer Institute for Algorithms and Scientific Computing SCAI
  • Andrea Zaliani; Fraunhofer Institute for Molecular Biology and Applied Ecology IME
  • Christian Ebeling; Fraunhofer Institute for Algorithms and Scientific Computing SCAI
  • Jeanette Reinshagen; Fraunhofer Institute for Molecular Biology and Applied Ecology IME
  • Denisa Bojkova; Institute of Medical Virology
  • Vanessa Lage-Rupprecht; Fraunhofer Institute for Algorithms and Scientific Computing SCAI
  • Reagon Karki; Fraunhofer Institute for Algorithms and Scientific Computing (SCAI)
  • Soeren Lukassen; Charite - Universitaetsmedizin Berlin
  • Yojana Gadiya; Fraunhofer Institute for Algorithms and Scientific Computing
  • Neal Giri Ravindra; Yale University
  • Sayoni Das; PrecisionLife Ltd.
  • Shounak Baksi; Causality BioModels Pvt Ltd
  • Daniel Domingo-Fernandez; Fraunhofer SCAI
  • Manuel Lentzen; Fraunhofer Institute for Algorithms and Scientific Computing (SCAI)
  • Mark Strivens; PrecisionLife Ltd.
  • Tamara Raschka; Fraunhofer Institute for Algorithms and Scientific Computing (SCAI)
  • Jindrich Cinatl Jr.; Klinikum der Goethe-Universitaet
  • Lauren Nicole DeLong; Fraunhofer Institute for Algorithms and Scientific Computing (SCAI)
  • Philip Gribbon; Fraunhofer Institute for Molecular Biology and Applied Ecology IME
  • Gerd Geisslinger; Fraunhofer Cluster of Excellence for Immune Mediated Diseases
  • Sandra Ciesek; Fraunhofer Institute for Molecular Biology and Applied Ecology IME
  • David van Dijk Jr.; Yale University
  • Steve Gardner; PrecisionLife Ltd
  • Alpha Tom Kodamullil; Fraunhofer Institute for Algorithms and Scientific Computing SCAI
  • Holger Froehlich; Fraunhofer Institute for Algorithms and Scientific Computing (SCAI)
  • Manuel Peitsch; Philip Morris International
  • Marc Jacobs; Fraunhofer Institute for Algorithms and Scientific Computing (SCAI)
  • Julia Hoeng; Philip Morris International (Switzerland)
  • Roland Eils; Charite Universitaetsmedizin Berlin & Berlin Institute of Health (BIH)
  • Carsten Claussen; Fraunhofer Institute for Molecular Biology and Applied Ecology IME
  • Martin Hofmann-Apitius; Fraunhofer Institute for Algorithms and Scientific Computing SCAI
Preprint in English | bioRxiv | ID: ppbiorxiv-308239
ABSTRACT
The SARS-CoV-2 pandemic has challenged researchers at a global scale. The scientific communitys massive response has resulted in a flood of experiments, analyses, hypotheses, and publications, especially in the field of drug repurposing. However, many of the proposed therapeutic compounds obtained from SARS-CoV-2 specific assays are not in agreement and thus demonstrate the need for a singular source of COVID-19 related information from which a rational selection of drug repurposing candidates can be made. In this paper, we present the COVID-19 PHARMACOME, a comprehensive drug-target-mechanism graph generated from a compilation of 10 separate disease maps and sources of experimental data focused on SARS-CoV-2 / COVID-19 pathophysiology. By applying our systematic approach, we were able to predict the synergistic effect of specific drug pairs, such as Remdesivir and Thioguanosine or Nelfinavir and Raloxifene, on SARS-CoV-2 infection. Experimental validation of our results demonstrate that our graph can be used to not only explore the involved mechanistic pathways, but also to identify novel combinations of drug repurposing candidates.
License
cc_by_nc_nd
Full text: Available Collection: Preprints Database: bioRxiv Type of study: Prognostic study / Systematic review Language: English Year: 2020 Document type: Preprint
Full text: Available Collection: Preprints Database: bioRxiv Type of study: Prognostic study / Systematic review Language: English Year: 2020 Document type: Preprint
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