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

  • Andreas Maier* (Shared Erstautor/-in)
  • , Michael Hartung (Shared Erstautor/-in)
  • , Mark Abovsky (Co-Autor/-in)
  • , Klaudia Adamowicz (Co-Autor/-in)
  • , Gary D. Bader (Co-Autor/-in)
  • , Sylvie Baier (Co-Autor/-in)
  • , David B. Blumenthal (Co-Autor/-in)
  • , Jing Chen (Co-Autor/-in)
  • , Maria L. Elkjaer (Co-Autor/-in)
  • , Carlos Garcia-Hernandez (Co-Autor/-in)
  • , Mohamed Helmy (Co-Autor/-in)
  • , Markus Hoffmann (Co-Autor/-in)
  • , Igor Jurisica (Co-Autor/-in)
  • , Max Kotlyar (Co-Autor/-in)
  • , Olga Lazareva (Co-Autor/-in)
  • , Hagai Levi (Co-Autor/-in)
  • , Markus List (Co-Autor/-in)
  • , Sebastian Lobentanzer (Co-Autor/-in)
  • , Joseph Loscalzo (Co-Autor/-in)
  • , Noel Malod-Dognin (Co-Autor/-in)
  • Quirin Manz (Co-Autor/-in), Julian Matschinske (Co-Autor/-in), Miles Mee (Co-Autor/-in), Mhaned Oubounyt (Co-Autor/-in), Chiara Pastrello (Co-Autor/-in), Alexander R. Pico (Co-Autor/-in), Rudolf T. Pillich (Co-Autor/-in), Julian M. Poschenrieder (Co-Autor/-in), Dexter Pratt (Co-Autor/-in), Nataša Pržulj (Co-Autor/-in), Sepideh Sadegh (Co-Autor/-in), Julio Saez-Rodriguez (Co-Autor/-in), Suryadipto Sarkar (Co-Autor/-in), Gideon Shaked (Co-Autor/-in), Ron Shamir (Co-Autor/-in), Nico Trummer (Co-Autor/-in), Ugur Turhan (Co-Autor/-in), Rui Sheng Wang (Co-Autor/-in), Olga Zolotareva (Co-Autor/-in), Jan Baumbach (Letztautor/-in)
*Korrespondierende/r Autor/-in für diese Arbeit
  • University of Saskatchewan
  • Universität Hamburg
  • Schroeder Arthritis Institute
  • Institute for Computational Systems Biology, Universität Hamburg
  • Temerty Faculty of Medicine
  • University of Toronto
  • Princess Margaret Cancer Centre
  • Lunenfeld-Tanenbaum Research Institute
  • Technische Universität München
  • Friedrich-Alexander-Universität Erlangen-Nürnberg
  • University of California, San Diego
  • Universitätsklinikum Odense
  • Süddänische Universität
  • Barcelona Supercomputing Center
  • Lakehead University
  • Idaho State University
  • Agency for Science, Technology and Research
  • National Institute of Diabetes and Digestive and Kidney Diseases
  • Institute of Neuroimmunology, Slovak Academy of Sciences
  • Deutsches Krebsforschungszentrum
  • Europäische Laboratorium für Molekularbiologie
  • Universität Tel Aviv
  • Ruprecht-Karls-Universität Heidelberg
  • Harvard Medical School
  • Gladstone Institutes
  • University College London
  • Catalan Institution for Research and Advanced Studies

Publikation: Beitrag in FachzeitschriftArtikelBegutachtung

23 Zitate (Scopus)

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.

OriginalspracheEnglisch
Seiten (von - bis)W481-W488
FachzeitschriftNucleic Acids Research
Jahrgang52
AusgabenummerW1
Frühes Online-Datum23 Mai 2024
DOIs
PublikationsstatusVeröffentlicht - 5 Juli 2024
Extern publiziertJa

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