Drugst.One - A plug-and-play solution for online systems medicine and network-based drug repurposing
Autori
Maier, AndreasHartung, Michael
The Drugst.One Initiative
Baumbach, Jan
Ostala autorstva
Morić, IvanaĐorđević, Valentina
Konferencijski prilog (Objavljena verzija)
,
© 2023 Institute of Molecular Genetics and Genetic Engineering, University of Belgrade
Metapodaci
Prikaz svih podataka o dokumentuApstrakt
In recent decades, the development of new drugs has become increasingly expensive
and inefficient, and the molecular mechanisms of pharmaceuticals often remain poorly
understood. In response, numerous computational systems and network medicine tools have
been developed to prioritize drug repurposing candidates. However, such tools often require
local installation and configuration or lack follow-up visual network mining capabilities. To
address these challenges and simplify network exploration and drug repurposing candidate
prediction, we have developed Drugst.One. It is a customizable plug-and-play solution with
its own data warehousing system integrating multiple interaction databases to enable
interactive modeling and analysis of the associations between proteins, drugs, and diseases.
With just three lines of code, it has the capacity to convert any systems medicine software into
an interactive web tool for identifying drug repurposing candidates, thus providing a powerful...
and accessible resource for advancing drug discovery efforts. To demonstrate the utility of
Drugst.One’s low-code approach, we have integrated it with 20 existing computational
systems medicine tools of various types, with the intent to expand the Drugst.One Initiative
with additional collaboration partners.
Drugst.One is, to our knowledge, the first approach to unify and simplify web-based networkbased
visualization and drug repurposing, posing a valuable resource for the research
community. Learn more about Drugst.One and the Drugst.One Initiative at https://drugst.one.
Ključne reči:
drug repurposing / systems medicine / interactive network enrichment / biomedical network exploration / network integration / biomedical data analysis / data visualizationIzvor:
4th Belgrade Bioinformatics Conference, 2023, 4, 52-53Izdavač:
- Belgrade : Institute of molecular genetics and genetic engineering
Finansiranje / projekti:
- REPO-TRIAL: This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 777111. This publication reflects only the authors’ view and the European Commission is not responsible for any use that may be made of the information it contains. RePo4EU: This project is funded by the European Union under grant agreement No. 101057619. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or European Health and Digital Executive Agency (HADEA). Neither the European Union nor the granting authority can be held responsible for them.
- This work was supported by the German Federal Ministry of Education and Research (BMBF) within the framework of “CLINSPECT-M” (grant FKZ161L0214A). JB was partially funded by his VILLUM Young Investigator Grant nr.13154. Collaborations partners of the Drugst.One Initiative have received the following additional funding:
- This work was also partly supported by the Swiss State Secretariat for Education, Research and Innovation (SERI) under contract No. 22.00115. This work was supported by the Technical University Munich – Institute for Advanced Study, funded by the German Excellence Initiative. This work was supported in part by the Intramural Research Programs (IRPs) of the National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK). Funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – 422216132.
- This project has received funding from the European Research Council (ERC) Consolidator Grant 770827 and the Spanish State Research Agency AEI 10.13039/501100011033 grant number PID2019-105500GB-I00.
- IJ was supported in part by funding from Natural Sciences Research Council (NSERC #203475), Canada Foundation for Innovation (CFI #225404, #30865), Ontario Research Fund (RDI #34876), IBM and Ian Lawson van Toch Fund.
- SL has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 965193 for DECIDER.
Napomena:
- Book of abstract: 4th Belgrade Bioinformatics Conference, June 19-23, 2023
Kolekcije
Institucija/grupa
Institut za molekularnu genetiku i genetičko inženjerstvoTY - CONF AU - Maier, Andreas AU - Hartung, Michael AU - The Drugst.One Initiative AU - Baumbach, Jan PY - 2023 UR - https://belbi.bg.ac.rs/ UR - https://imagine.imgge.bg.ac.rs/handle/123456789/1994 AB - In recent decades, the development of new drugs has become increasingly expensive and inefficient, and the molecular mechanisms of pharmaceuticals often remain poorly understood. In response, numerous computational systems and network medicine tools have been developed to prioritize drug repurposing candidates. However, such tools often require local installation and configuration or lack follow-up visual network mining capabilities. To address these challenges and simplify network exploration and drug repurposing candidate prediction, we have developed Drugst.One. It is a customizable plug-and-play solution with its own data warehousing system integrating multiple interaction databases to enable interactive modeling and analysis of the associations between proteins, drugs, and diseases. With just three lines of code, it has the capacity to convert any systems medicine software into an interactive web tool for identifying drug repurposing candidates, thus providing a powerful and accessible resource for advancing drug discovery efforts. To demonstrate the utility of Drugst.One’s low-code approach, we have integrated it with 20 existing computational systems medicine tools of various types, with the intent to expand the Drugst.One Initiative with additional collaboration partners. Drugst.One is, to our knowledge, the first approach to unify and simplify web-based networkbased visualization and drug repurposing, posing a valuable resource for the research community. Learn more about Drugst.One and the Drugst.One Initiative at https://drugst.one. PB - Belgrade : Institute of molecular genetics and genetic engineering C3 - 4th Belgrade Bioinformatics Conference T1 - Drugst.One - A plug-and-play solution for online systems medicine and network-based drug repurposing EP - 53 SP - 52 VL - 4 UR - https://hdl.handle.net/21.15107/rcub_imagine_1994 ER -
@conference{ author = "Maier, Andreas and Hartung, Michael and The Drugst.One Initiative and Baumbach, Jan", year = "2023", abstract = "In recent decades, the development of new drugs has become increasingly expensive and inefficient, and the molecular mechanisms of pharmaceuticals often remain poorly understood. In response, numerous computational systems and network medicine tools have been developed to prioritize drug repurposing candidates. However, such tools often require local installation and configuration or lack follow-up visual network mining capabilities. To address these challenges and simplify network exploration and drug repurposing candidate prediction, we have developed Drugst.One. It is a customizable plug-and-play solution with its own data warehousing system integrating multiple interaction databases to enable interactive modeling and analysis of the associations between proteins, drugs, and diseases. With just three lines of code, it has the capacity to convert any systems medicine software into an interactive web tool for identifying drug repurposing candidates, thus providing a powerful and accessible resource for advancing drug discovery efforts. To demonstrate the utility of Drugst.One’s low-code approach, we have integrated it with 20 existing computational systems medicine tools of various types, with the intent to expand the Drugst.One Initiative with additional collaboration partners. Drugst.One is, to our knowledge, the first approach to unify and simplify web-based networkbased visualization and drug repurposing, posing a valuable resource for the research community. Learn more about Drugst.One and the Drugst.One Initiative at https://drugst.one.", publisher = "Belgrade : Institute of molecular genetics and genetic engineering", journal = "4th Belgrade Bioinformatics Conference", title = "Drugst.One - A plug-and-play solution for online systems medicine and network-based drug repurposing", pages = "53-52", volume = "4", url = "https://hdl.handle.net/21.15107/rcub_imagine_1994" }
Maier, A., Hartung, M., The Drugst.One Initiative,& Baumbach, J.. (2023). Drugst.One - A plug-and-play solution for online systems medicine and network-based drug repurposing. in 4th Belgrade Bioinformatics Conference Belgrade : Institute of molecular genetics and genetic engineering., 4, 52-53. https://hdl.handle.net/21.15107/rcub_imagine_1994
Maier A, Hartung M, The Drugst.One Initiative, Baumbach J. Drugst.One - A plug-and-play solution for online systems medicine and network-based drug repurposing. in 4th Belgrade Bioinformatics Conference. 2023;4:52-53. https://hdl.handle.net/21.15107/rcub_imagine_1994 .
Maier, Andreas, Hartung, Michael, The Drugst.One Initiative, Baumbach, Jan, "Drugst.One - A plug-and-play solution for online systems medicine and network-based drug repurposing" in 4th Belgrade Bioinformatics Conference, 4 (2023):52-53, https://hdl.handle.net/21.15107/rcub_imagine_1994 .