English

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

Quantitative Methods 2023-07-06 v2

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.

Keywords

Cite

@article{arxiv.2305.15453,
  title  = {Drugst.One -- A plug-and-play solution for online systems medicine and network-based drug repurposing},
  author = {Andreas Maier and Michael Hartung and Mark Abovsky and Klaudia Adamowicz and Gary D. Bader and Sylvie Baier and David B. Blumenthal and Jing Chen and Maria L. Elkjaer and Carlos Garcia-Hernandez and Mohamed Helmy and Markus Hoffmann and Igor Jurisica and Max Kotlyar and Olga Lazareva and Hagai Levi and Markus List and Sebastian Lobentanzer and Joseph Loscalzo and Noel Malod-Dognin and Quirin Manz and Julian Matschinske and Miles Mee and Mhaned Oubounyt and Alexander R. Pico and Rudolf T. Pillich and Julian M. Poschenrieder and Dexter Pratt and Nataša Pržulj and Sepideh Sadegh and Julio Saez-Rodriguez and Suryadipto Sarkar and Gideon Shaked and Ron Shamir and Nico Trummer and Ugur Turhan and Ruisheng Wang and Olga Zolotareva and Jan Baumbach},
  journal= {arXiv preprint arXiv:2305.15453},
  year   = {2023}
}

Comments

45 pages, 6 figures, 7 tables