Drugst.One - a plug-and-play solution for online systems medicine and network-based drug repurposing

Andreas Maier*, Michael Hartung, Mark Abovsky, Klaudia Adamowicz, Gary D. Bader, Sylvie Baier, David B. Blumenthal, Jing Chen, Maria L. Elkjaer, Carlos Garcia-Hernandez, Mohamed Helmy, Markus Hoffmann, Igor Jurisica, Max Kotlyar, Olga Lazareva, Hagai Levi, Markus List, Sebastian Lobentanzer, Joseph Loscalzo, Noel Malod-DogninQuirin Manz, Julian Matschinske, Miles Mee, Mhaned Oubounyt, Chiara Pastrello, Alexander R. Pico, Rudolf T. Pillich, Julian M. Poschenrieder, Dexter Pratt, Nataša Pržulj, Sepideh Sadegh, Julio Saez-Rodriguez, Suryadipto Sarkar, Gideon Shaked, Ron Shamir, Nico Trummer, Ugur Turhan, Rui Sheng Wang, Olga Zolotareva, Jan Baumbach

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

In recent decades, the development of new drugs has become increasingly expensive and inefficient, and the molecular mechanisms of most pharmaceuticals remain poorly understood. In response, computational systems and network medicine tools have emerged to identify potential drug repurposing candidates. However, these tools often require complex installation and lack intuitive visual network mining capabilities. To tackle these challenges, we introduce Drugst.One, a platform that assists specialized computational medicine tools in becoming user-friendly, web-based utilities for drug repurposing. With just three lines of code, Drugst.One turns any systems biology software into an interactive web tool for modeling and analyzing complex protein-drug-disease networks. Demonstrating its broad adaptability, Drugst.One has been successfully integrated with 21 computational systems medicine tools. Available at https://drugst.one, Drugst.One has significant potential for streamlining the drug discovery process, allowing researchers to focus on essential aspects of pharmaceutical treatment research.

Original languageEnglish
Pages (from-to)W481-W488
JournalNucleic Acids Research
Volume52
Issue numberW1
DOIs
StatePublished - 5 Jul 2024

Funding

FundersFunder number
Technical University Munich Institute for Advanced Study
Natural Sciences Research Council
European Union s Horizon 2020 research and innovation programme
National Institute of Diabetes and Digestive and Kidney Diseases
Staatssekretariat für Bildung, Forschung und Innovation
Bundesministerium für Bildung und Forschung
Canada Foundation for Innovation
Deutsche Forschungsgemeinschaft
Technical University Munich
German Excellence Initiative
IBM
European Union or European Health and Digital Executive Agency
HADEA
Horizon Europe project Repo4EU
Institute for Advanced Study
Spanish State Research Agency AEIPID2019-105500GB-I00
Ontario Research FoundationRE010-020, RDI #34876
Ontario Research Foundation
European Commission101057619
European Commission
BMBF16LW0243K, 161L0214A, F031L0214A
European Research Council770827
European Research Council
German Research Foundation13154, 422216132
Horizon 2020 Framework Programme777111
Horizon 2020 Framework Programme
NSERC203475
CFI225404, 30865
Ian Lawson van Toch Fund965193
SERI22.00115

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