A Gene Family-led Meta-Analysis of Drug-Target Interactions

Qiong Cheng, Saurabh Mehta, Stephan C Schuerer

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The shift from 'magic bullets' to 'magic shotguns' has prospered the pharmaceutical industry, where a belief is that a drug that'hits' multiple sensitive nodes belonging to a network of interacting targets offers the potential for higher efficacy and may limit drawbacks arising from the use of a single-target drug or a combination of multiple drugs. More high-quality drug-target interactions, profiled by the 'magic shotguns' design paradigm, have emerged from diverse labs. However, the rapid production at scale and in variety challenges the efficacy of data usage. A creative and systematical approach is in demand to comprehensively analyze and integrate drug- target interactions for better prediction. In the project, taking the diversity into consideration, we carried out a gene family-led, meta-analysis, investigated diverse properties that drug-target pharmacological promiscuity relies on, and examined the consistency or integrity of drug-target data. The novel approach can facilitate the identification of cohesive multi-target combinations and revealed the interconnected properties of determining and rationalizing the promiscuity of profiled drugs. The approach can be further expanded to coordinate other experimental drug-target data and set a stage for the analysis of the mechanism of action of biological therapies.

Original languageEnglish (US)
Title of host publicationProceedings - 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018
EditorsHarald Schmidt, David Griol, Haiying Wang, Jan Baumbach, Huiru Zheng, Zoraida Callejas, Xiaohua Hu, Julie Dickerson, Le Zhang
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1618-1623
Number of pages6
ISBN (Electronic)9781538654880
DOIs
StatePublished - Jan 21 2019
Event2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018 - Madrid, Spain
Duration: Dec 3 2018Dec 6 2018

Publication series

NameProceedings - 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018

Conference

Conference2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018
CountrySpain
CityMadrid
Period12/3/1812/6/18

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Keywords

  • drug-target interactions
  • information content
  • meta-analysis
  • ontology
  • polypharmocology

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics

Cite this

Cheng, Q., Mehta, S., & Schuerer, S. C. (2019). A Gene Family-led Meta-Analysis of Drug-Target Interactions. In H. Schmidt, D. Griol, H. Wang, J. Baumbach, H. Zheng, Z. Callejas, X. Hu, J. Dickerson, & L. Zhang (Eds.), Proceedings - 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018 (pp. 1618-1623). [8621087] (Proceedings - 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/BIBM.2018.8621087