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Published on: August 14, 2019
Promiscuity progression of bioactive compounds over time
Ye Hu1, Swarit Jasial1, Jürgen Bajorath1
1Department of Life Science Informatics, B-IT, LIMES Program Unit Chemical Biology and Medicinal Chemistry, Rheinische Friedrich-Wilhelms-Universität, Dahlmannstr. 2, Bonn, D-53113, Germany.
Compound promiscuity, the interaction of small molecules with multiple targets, shows surprisingly low and constant levels over decades. Even with massive data growth, bioactive compounds interact with an average of 1.5 targets, indicating stable polypharmacology.
Area of Science:
- Pharmacology
- Computational Chemistry
- Drug Discovery
Background:
- Compound promiscuity is defined as a small molecule's ability to interact with multiple biological targets.
- Understanding promiscuity progression is crucial for drug discovery and polypharmacology.
- Historical activity data provides insights into how compound promiscuity evolves over time.
Purpose of the Study:
- To analyze the progression and magnitude of compound promiscuity over nearly 40 years.
- To investigate the relationship between data growth and changes in compound promiscuity.
- To establish expectation values for promiscuity in bioactive compounds.
Main Methods:
- Analysis of nearly 1 million compounds and over 5.2 million activity records.
- Assembly of compound sets based on data confidence criteria and activity history.
- Temporal organization of data from 1976 to monitor growth and promiscuity progression.
Main Results:
- Consistently low degrees of compound promiscuity were detected across all analyzed sets.
- Promiscuity showed only small increases over time, with most compounds maintaining constant promiscuity.
- Even during periods of significant data growth, promiscuity levels remained stable or increased only slightly.
- High-confidence data indicates bioactive compounds interact with an average of 1.5 targets.
Conclusions:
- Bioactive compounds exhibit remarkably stable and low levels of promiscuity.
- Promiscuity progression is not significantly influenced by the massive growth of activity data.
- The findings provide valuable benchmarks for understanding compound promiscuity in drug discovery.
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