gms | German Medical Science

64. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie e. V. (GMDS)

Deutsche Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie

08. - 11.09.2019, Dortmund

Article

Send article

New drug targets for the treatment of co-morbid multifunctional diseases

Meeting Abstract

Search Medline for

  • Ralf Hofestaedt - Department of Bioinformatics and Medical Informatics, Faculty of Technology, Bielefeld University, Bielefeld, Germany
  • Marcel Friedrichs - Univerity Bielefeld, AG Bioinformatics and Medical Informatics, Bielefeld, Germany

Deutsche Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie. 64. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie e.V. (GMDS). Dortmund, 08.-11.09.2019. Düsseldorf: German Medical Science GMS Publishing House; 2019. DocAbstr. 40

doi: 10.3205/19gmds202, urn:nbn:de:0183-19gmds2022

Published: September 6, 2019

© 2019 Hofestaedt et al.
This is an Open Access article distributed under the terms of the Creative Commons Attribution 4.0 License. See license information at http://creativecommons.org/licenses/by/4.0/.

Outline

Text

During the realization of the “Trilateral Partnership – Cooperation Project” between Scholars and Scientists from Ukraine (Kiev), Russia (Tomsk and Novosibirsk) and Germany (Bielefeld) (2016-2018) we have obtained important data and results concerning pathogenetic factors of such important comorbidity as combination of hypertension and asthma. The relevant medical data and medical part of this project presenting the focus to asthma and hypertension was done in TOMSK. Based on this data the computational part was done in NOVOSIBIRSK. Using new textmining tools relevant target genes could be identified. For further discussion the target gene IL10 was discussed in KIEV based on knock out experiments. Using methods of database integration and information fusion the new information system GenCoNet could be implemented representing the positive and negative drug list of asthma and hypertension.

This project was supported by the VolkswagenStiftung.

The authors declare that they have no competing interests.

The authors declare that an ethics committee vote is not required.

Outline

References

1.
Shoshi A, Hofestädt R, Zolotareva O, Friedrichs M, Maier A, Ivanisenko V, et al. GenCoNet – A Graph Database for the Analysis of Comorbidities by Gene Networks. Journal of Integrative Bioinformatics. 2018;15(4). pii: jib-2018-0049. DOI: 10.1515/jib-2018-0049 External link
2.
Saik O, Demenkov P, Ivanisenko T, Bragina E, Freidin M, Dosenko V, Zolotareva O, Choynzonov E, Hofestädt R, Ivanisenko V. Search for New Candidate Genes Involved in the Comorbidity of Asthma and Hypertension Based on Automatic Analysis of Scientific Literature. Journal of Integrative Bioinformatics. 2018;15(4). pii: jib-2018-0054. DOI: 10.1515/jib-2018-0054 External link