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 language | English |
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Pages (from-to) | W481-W488 |
Journal | Nucleic Acids Research |
Volume | 52 |
Issue number | W1 |
DOIs | |
State | Published - 5 Jul 2024 |
Funding
Funders | Funder number |
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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 AEI | PID2019-105500GB-I00 |
Ontario Research Foundation | RE010-020, RDI #34876 |
Ontario Research Foundation | |
European Commission | 101057619 |
European Commission | |
BMBF | 16LW0243K, 161L0214A, F031L0214A |
European Research Council | 770827 |
European Research Council | |
German Research Foundation | 13154, 422216132 |
Horizon 2020 Framework Programme | 777111 |
Horizon 2020 Framework Programme | |
NSERC | 203475 |
CFI | 225404, 30865 |
Ian Lawson van Toch Fund | 965193 |
SERI | 22.00115 |