NeDRex-Web: An Interactive Web Tool for Drug Repurposing by Exploring Heterogeneous Molecular Networks
Finding new indications for approved drugs is a promising alternative to the often very lengthy and expensive process of de novo drug development. Systems medicine has brought forth several different approaches to tackle this important task. We recently published NeDRex, a network medicine tool for the identification of disease modules and drug repurposing. NeDRex-Web (https://web.nedrex.net) brings existing and new features of the NeDRex platform to a user-friendly and research-oriented web application, enabling online exploration of large heterogeneous molecular networks. Focusing mainly on drug repurposing, NeDRex-Web implements customizable disease module identification and drug prioritization workflows to support users of diverse backgrounds in their research. Users are assisted during every step of their analysis, including the definition of relevant input sets, the selection from various algorithms for module identification or drug prioritization, and the prioritization of the results by their statistical significance. A guided connectivity search provides an easy way to identify links between node sets of interest and can be used to create user-specific induced networks.
Authors
- Cristian Nogales (ORCID: https://orcid.org/0000-0001-7535-0417)
- Olga Zolotareva (ORCID: https://orcid.org/0000-0002-9424-8052)
- Andreas Maier (ORCID: https://orcid.org/0000-0002-5021-3341)
- Maria L. Elkjaer (ORCID: https://orcid.org/0000-0002-8596-142X)
- Harald H.H.W. Schmidt (ORCID: https://orcid.org/0000-0003-0419-5549)
- Sepideh Sadegh (ORCID: https://orcid.org/0000-0003-4851-8848)
- Tim Kacprowski (ORCID: https://orcid.org/0000-0002-5393-2413)
- Jan Baumbach (ORCID: https://orcid.org/0000-0002-0282-0462)
- James Skelton (ORCID: https://orcid.org/0000-0001-7358-8616)
- Elisa Anastasi
- Ana I. Casas (ORCID: https://orcid.org/0000-0002-0935-074X)
- David B. Blumenthal (ORCID: https://orcid.org/0000-0001-8651-750X)
- Anil Wipat (ORCID: https://orcid.org/0000-0001-7310-4191)
- Mahdie Rafiei (ORCID: https://orcid.org/0009-0007-4807-3590)
Institutions
- Universität Hamburg (DE)
- Friedrich-Alexander-Universität Erlangen-Nürnberg (DE)
- Odense University Hospital (DK)
- Maastricht University (NL)
- Hamburg Institut (Germany) (DE)
- Newcastle University (GB)
Publication Details
- Published
- 2024-12-03
- DOI
- https://doi.org/10.1109/bibm62325.2024.10822390
- Citations
- 2
- Primary Topic
- Computational Drug Discovery Methods
- Type
- article
- Field-Weighted Citation Impact
- 0.72
Funders
- Corona-Stiftung
- European Commission
- Deutsche Forschungsgemeinschaft
- Bundesministerium für Bildung und Forschung
- Lundbeckfonden
- Staatssekretariat für Bildung, Forschung und Innovation