Drugst.One -- A plug-and-play solution for online systems medicine and network-based drug repurposing
Abstrak
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.
Topik & Kata Kunci
Penulis (39)
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-Dognin
Quirin Manz
Julian Matschinske
Miles Mee
Mhaned Oubounyt
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
Ruisheng Wang
Olga Zolotareva
Jan Baumbach
Akses Cepat
- Tahun Terbit
- 2023
- Bahasa
- en
- Sumber Database
- arXiv
- Akses
- Open Access ✓