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is-link">Go</button> </div> </div> </form> </div> </div> <ol class="breathe-horizontal" start="1"> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2305.15453">arXiv:2305.15453</a> <span> [<a href="https://arxiv.org/pdf/2305.15453">pdf</a>] </span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Quantitative Methods">q-bio.QM</span> </div> </div> <p class="title is-5 mathjax"> Drugst.One -- A plug-and-play solution for online systems medicine and network-based drug repurposing </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/q-bio?searchtype=author&query=Maier%2C+A">Andreas Maier</a>, <a href="/search/q-bio?searchtype=author&query=Hartung%2C+M">Michael Hartung</a>, <a href="/search/q-bio?searchtype=author&query=Abovsky%2C+M">Mark Abovsky</a>, <a href="/search/q-bio?searchtype=author&query=Adamowicz%2C+K">Klaudia Adamowicz</a>, <a href="/search/q-bio?searchtype=author&query=Bader%2C+G+D">Gary D. Bader</a>, <a href="/search/q-bio?searchtype=author&query=Baier%2C+S">Sylvie Baier</a>, <a href="/search/q-bio?searchtype=author&query=Blumenthal%2C+D+B">David B. Blumenthal</a>, <a href="/search/q-bio?searchtype=author&query=Chen%2C+J">Jing Chen</a>, <a href="/search/q-bio?searchtype=author&query=Elkjaer%2C+M+L">Maria L. Elkjaer</a>, <a href="/search/q-bio?searchtype=author&query=Garcia-Hernandez%2C+C">Carlos Garcia-Hernandez</a>, <a href="/search/q-bio?searchtype=author&query=Helmy%2C+M">Mohamed Helmy</a>, <a href="/search/q-bio?searchtype=author&query=Hoffmann%2C+M">Markus Hoffmann</a>, <a href="/search/q-bio?searchtype=author&query=Jurisica%2C+I">Igor Jurisica</a>, <a href="/search/q-bio?searchtype=author&query=Kotlyar%2C+M">Max Kotlyar</a>, <a href="/search/q-bio?searchtype=author&query=Lazareva%2C+O">Olga Lazareva</a>, <a href="/search/q-bio?searchtype=author&query=Levi%2C+H">Hagai Levi</a>, <a href="/search/q-bio?searchtype=author&query=List%2C+M">Markus List</a>, <a href="/search/q-bio?searchtype=author&query=Lobentanzer%2C+S">Sebastian Lobentanzer</a>, <a href="/search/q-bio?searchtype=author&query=Loscalzo%2C+J">Joseph Loscalzo</a>, <a href="/search/q-bio?searchtype=author&query=Malod-Dognin%2C+N">Noel Malod-Dognin</a>, <a href="/search/q-bio?searchtype=author&query=Manz%2C+Q">Quirin Manz</a>, <a href="/search/q-bio?searchtype=author&query=Matschinske%2C+J">Julian Matschinske</a>, <a href="/search/q-bio?searchtype=author&query=Mee%2C+M">Miles Mee</a>, <a href="/search/q-bio?searchtype=author&query=Oubounyt%2C+M">Mhaned Oubounyt</a>, <a href="/search/q-bio?searchtype=author&query=Pico%2C+A+R">Alexander R. Pico</a> , et al. (14 additional authors not shown) </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2305.15453v2-abstract-short" style="display: inline;"> 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… <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2305.15453v2-abstract-full').style.display = 'inline'; document.getElementById('2305.15453v2-abstract-short').style.display = 'none';">▽ More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2305.15453v2-abstract-full" style="display: none;"> 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. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2305.15453v2-abstract-full').style.display = 'none'; document.getElementById('2305.15453v2-abstract-short').style.display = 'inline';">△ Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 4 July, 2023; <span class="has-text-black-bis has-text-weight-semibold">v1</span> submitted 24 May, 2023; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> May 2023. </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Comments:</span> <span class="has-text-grey-dark mathjax">45 pages, 6 figures, 7 tables</span> </p> </li> </ol> <div class="is-hidden-tablet">  <span 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