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Article

Mapping Compound Databases to Disease Maps—A MINERVA Plugin for CandActBase

1
Department of Medical Bioinformatics, University Medical Center Göttingen, Goldschmidtstraße 1, 37077 Göttingen, Germany
2
CIDAS Campus Institute Data Science, Goldschmidtstraße 1, 37077 Göttingen, Germany
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Academic Editors: Ali Salehzadeh-Yazdi and Mohieddin Jafari
J. Pers. Med. 2021, 11(11), 1072; https://doi.org/10.3390/jpm11111072
Received: 16 September 2021 / Revised: 19 October 2021 / Accepted: 22 October 2021 / Published: 24 October 2021
(This article belongs to the Special Issue Systems Medicine and Bioinformatics)
The MINERVA platform is currently the most widely used platform for visualizing and providing access to disease maps. Disease maps are systems biological maps of molecular interactions relevant in a certain disease context, where they can be used to support drug discovery. For this purpose, we extended MINERVA’s own drug and chemical search using the MINERVA plugin starter kit. We developed a plugin to provide a linkage between disease maps in MINERVA and application-specific databases of candidate therapeutics. The plugin has three main functionalities; one shows all the targets of all the compounds in the database, the second is a compound-based search to highlight targets of specific compounds, and the third can be used to find compounds that affect a certain target. As a use case, we applied the plugin to link a disease map and compound database we previously established in the context of cystic fibrosis and, herein, point out possible issues and difficulties. The plugin is publicly available on GitLab; the use-case application to cystic fibrosis, connecting disease maps and the compound database CandActCFTR, is available online. View Full-Text
Keywords: systems medicine; disease maps; drug targets; drug repurposing; knowledge repository; data integration systems medicine; disease maps; drug targets; drug repurposing; knowledge repository; data integration
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MDPI and ACS Style

Vinhoven, L.; Voskamp, M.; Nietert, M.M. Mapping Compound Databases to Disease Maps—A MINERVA Plugin for CandActBase. J. Pers. Med. 2021, 11, 1072. https://doi.org/10.3390/jpm11111072

AMA Style

Vinhoven L, Voskamp M, Nietert MM. Mapping Compound Databases to Disease Maps—A MINERVA Plugin for CandActBase. Journal of Personalized Medicine. 2021; 11(11):1072. https://doi.org/10.3390/jpm11111072

Chicago/Turabian Style

Vinhoven, Liza, Malte Voskamp, and Manuel M. Nietert. 2021. "Mapping Compound Databases to Disease Maps—A MINERVA Plugin for CandActBase" Journal of Personalized Medicine 11, no. 11: 1072. https://doi.org/10.3390/jpm11111072

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