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Drugst.One - A plug-and-play solution for online systems medicine and network-based drug repurposing.
Maier, Andreas; Hartung, Michael; Abovsky, Mark; Adamowicz, Klaudia; Bader, Gary D; Baier, Sylvie; Blumenthal, David B; Chen, Jing; Elkjaer, Maria L; Garcia-Hernandez, Carlos; Helmy, Mohamed; Hoffmann, Markus; Jurisica, Igor; Kotlyar, Max; Lazareva, Olga; Levi, Hagai; List, Markus; Lobentanzer, Sebastian; Loscalzo, Joseph; Malod-Dognin, Noel; Manz, Quirin; Matschinske, Julian; Mee, Miles; Oubounyt, Mhaned; Pico, Alexander R; Pillich, Rudolf T; Poschenrieder, Julian M; Pratt, Dexter; Przulj, Natasa; Sadegh, Sepideh; Saez-Rodriguez, Julio; Sarkar, Suryadipto; Shaked, Gideon; Shamir, Ron; Trummer, Nico; Turhan, Ugur; Wang, Ruisheng; Zolotareva, Olga; Baumbach, Jan.
Affiliation
  • Maier A; Institute for Computational Systems Biology, University of Hamburg, Hamburg, Germany.
  • Hartung M; Institute for Computational Systems Biology, University of Hamburg, Hamburg, Germany.
  • Abovsky M; Division of Orthopaedic Surgery, Schroeder Arthritis Institute, and Data Science Discovery Centre, Osteoarthritis Research Program, Krembil Research Institute, UHN, Toronto, Canada.
  • Adamowicz K; Data Science Discovery Centre for Chronic Diseases, Krembil Research Institute, University Health Network, 60 Leonard Avenue, 5KD-407, Toronto, ON, M5T 0S8, Canada.
  • Bader GD; Institute for Computational Systems Biology, University of Hamburg, Hamburg, Germany.
  • Baier S; Department of Molecular Genetics, University of Toronto, Toronto, ON, Canada.
  • Blumenthal DB; The Donnelly Centre, University of Toronto, Toronto, ON, Canada.
  • Chen J; Department of Computer Science, University of Toronto, Toronto, ON, Canada.
  • Elkjaer ML; Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada.
  • Garcia-Hernandez C; The Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, ON, Canada.
  • Helmy M; Chair of Experimental Bioinformatics, TUM School of Life Sciences, Technical University of Munich, Munich, Germany.
  • Hoffmann M; Department Artificial Intelligence in Biomedical Engineering (AIBE), Friedrich-Alexander University Erlangen-Nürnberg (FAU), 91052 Erlangen, Germany.
  • Jurisica I; Department of Medicine, University of California San Diego, 9500 Gilman Drive, La Jolla, CA, 92093, USA.
  • Kotlyar M; Department of Neurology, Odense University Hospital, Odense, Denmark.
  • Lazareva O; Institute of Clinical Research, University of Southern Denmark, Odense, Denmark.
  • Levi H; Institute of Molecular Medicine, University of Southern Denmark, Odense, Denmark.
  • List M; Barcelona Supercomputing Center (BSC), 08034 Barcelona, Spain.
  • Lobentanzer S; Department of Molecular Genetics, University of Toronto, Toronto, ON, Canada.
  • Loscalzo J; The Donnelly Centre, University of Toronto, Toronto, ON, Canada.
  • Malod-Dognin N; Department of Computer Science, University of Toronto, Toronto, ON, Canada.
  • Manz Q; Chair of Experimental Bioinformatics, TUM School of Life Sciences, Technical University of Munich, Munich, Germany.
  • Matschinske J; Institute for Advanced Study (Lichtenbergstrasse 2a, D-85748 Garching, Germany), Technical University of Munich, Germany.
  • Mee M; National Institute of Diabetes, Digestive, and Kidney Diseases, Bethesda, MD 20892, United States of America.
  • Oubounyt M; Division of Orthopaedic Surgery, Schroeder Arthritis Institute, and Data Science Discovery Centre, Osteoarthritis Research Program, Krembil Research Institute, UHN, Toronto, Canada.
  • Pico AR; Data Science Discovery Centre for Chronic Diseases, Krembil Research Institute, University Health Network, 60 Leonard Avenue, 5KD-407, Toronto, ON, M5T 0S8, Canada.
  • Pillich RT; Departments of Medical Biophysics and Computer Science, University of Toronto, Toronto, Canada.
  • Poschenrieder JM; Institute of Neuroimmunology, Slovak Academy of Sciences, Bratislava, Slovakia.
  • Pratt D; Division of Orthopaedic Surgery, Schroeder Arthritis Institute, and Data Science Discovery Centre, Osteoarthritis Research Program, Krembil Research Institute, UHN, Toronto, Canada.
  • Przulj N; Data Science Discovery Centre for Chronic Diseases, Krembil Research Institute, University Health Network, 60 Leonard Avenue, 5KD-407, Toronto, ON, M5T 0S8, Canada.
  • Sadegh S; Division of Computational Genomics and Systems Genetics, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany.
  • Saez-Rodriguez J; Junior Clinical Cooperation Unit Multiparametric methods for early detection of prostate cancer, German Cancer Research Center (DKFZ), Heidelberg, Germany.
  • Sarkar S; European Molecular Biology Laboratory, Genome Biology Unit, 69117 Heidelberg, Germany.
  • Shaked G; Blavatnik School of Computer Science, Tel-Aviv University, Tel-Aviv, Israel.
  • Shamir R; Chair of Experimental Bioinformatics, TUM School of Life Sciences, Technical University of Munich, Munich, Germany.
  • Trummer N; Heidelberg University, Faculty of Medicine, and Heidelberg University Hospital, Institute for Computational Biomedicine, Bioquant, Heidelberg, Germany.
  • Turhan U; Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA.
  • Wang R; Barcelona Supercomputing Center (BSC), 08034 Barcelona, Spain.
  • Zolotareva O; Chair of Experimental Bioinformatics, TUM School of Life Sciences, Technical University of Munich, Munich, Germany.
  • Baumbach J; Institute for Computational Systems Biology, University of Hamburg, Hamburg, Germany.
ArXiv ; 2023 Jul 04.
Article in En | MEDLINE | ID: mdl-37332567
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.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: ArXiv Year: 2023 Document type: Article Affiliation country:
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Add to My VHL
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Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: ArXiv Year: 2023 Document type: Article Affiliation country: