Journal
CHEMICAL COMMUNICATIONS
Volume 52, Issue 6, Pages 1135-1138Publisher
ROYAL SOC CHEMISTRY
DOI: 10.1039/c5cc07506h
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Funding
- OPO-Foundation Zurich
- ETH Zurich
- Swiss National Science Foundation [CR32I2_159737]
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The promiscuous binding behavior of bioactive compounds forms a mechanistic basis for understanding polypharmacological drug action. We present the development and prospective application of a computational tool for identifying potential promiscuous drug-like ligands. In combination with computational target prediction methods, the approach provides a working concept for rationally designing such molecular structures. We could confirm the multitarget binding of a de novo generated compound in a proof-of-concept study relying on the new method.
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