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. 2024 Jul 5;52(W1):W481-W488.
doi: 10.1093/nar/gkae388.

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

Affiliations

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

Andreas Maier et al. Nucleic Acids Res. .

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.

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Figures

Graphical Abstract
Graphical Abstract
Figure 1.
Figure 1.
The Drugst.One ecosystem: the Drugst.One server (A) updates weekly from online databases (B), executes computationally demanding tasks, and provides data to the Drugst.One plugin (D i and D ii). The frontend is loaded from the content delivery system (CDS), (C), receives the network data from the developer integrating Drugst.One (E) and presents it to the user. Drugst.One can also be accessed programmatically through a Python package (F).
Figure 2.
Figure 2.
Participants of WikiPathway WP1991 displayed in Drugst.One. Adjacent diseases and drugs are enabled, as well as diseases linked to drugs targeting this smooth muscle cell (SMC) and differentiation pathway. To investigate if there is the chance that WP1991 also represents vascular SMC proliferation, normalized median expression values for ‘Artery - Aorta’ are overlaid as pie charts, where 360 represent the maximum observed transcripts per million (TPM) in the selected tissue and all other TPMs are exponentially scaled.

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