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 language | English (US) |
|---|---|
| Title of host publication | Proceedings - 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018 |
| Editors | Harald Schmidt, David Griol, Haiying Wang, Jan Baumbach, Huiru Zheng, Zoraida Callejas, Xiaohua Hu, Julie Dickerson, Le Zhang |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 1618-1623 |
| Number of pages | 6 |
| ISBN (Electronic) | 9781538654880 |
| DOIs | |
| State | Published - Jan 21 2019 |
| Event | 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018 - Madrid, Spain Duration: Dec 3 2018 → Dec 6 2018 |
Publication series
| Name | Proceedings - 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018 |
|---|
Conference
| Conference | 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018 |
|---|---|
| Country | Spain |
| City | Madrid |
| Period | 12/3/18 → 12/6/18 |
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Keywords
- drug-target interactions
- information content
- meta-analysis
- ontology
- polypharmocology
ASJC Scopus subject areas
- Biomedical Engineering
- Health Informatics
Cite this
A Gene Family-led Meta-Analysis of Drug-Target Interactions. / Cheng, Qiong; Mehta, Saurabh; Schuerer, Stephan C.
Proceedings - 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018. ed. / Harald Schmidt; David Griol; Haiying Wang; Jan Baumbach; Huiru Zheng; Zoraida Callejas; Xiaohua Hu; Julie Dickerson; Le Zhang. Institute of Electrical and Electronics Engineers Inc., 2019. p. 1618-1623 8621087 (Proceedings - 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - A Gene Family-led Meta-Analysis of Drug-Target Interactions
AU - Cheng, Qiong
AU - Mehta, Saurabh
AU - Schuerer, Stephan C
PY - 2019/1/21
Y1 - 2019/1/21
N2 - 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.
AB - 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.
KW - drug-target interactions
KW - information content
KW - meta-analysis
KW - ontology
KW - polypharmocology
UR - http://www.scopus.com/inward/record.url?scp=85062523153&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85062523153&partnerID=8YFLogxK
U2 - 10.1109/BIBM.2018.8621087
DO - 10.1109/BIBM.2018.8621087
M3 - Conference contribution
AN - SCOPUS:85062523153
T3 - Proceedings - 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018
SP - 1618
EP - 1623
BT - Proceedings - 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018
A2 - Schmidt, Harald
A2 - Griol, David
A2 - Wang, Haiying
A2 - Baumbach, Jan
A2 - Zheng, Huiru
A2 - Callejas, Zoraida
A2 - Hu, Xiaohua
A2 - Dickerson, Julie
A2 - Zhang, Le
PB - Institute of Electrical and Electronics Engineers Inc.
ER -