Polypharmacology by Design: A Medicinal Chemist's Perspective on Multitargeting Compounds

Explainable machine learning predictions of dual-target compounds reveal characteristic structural features

Machine learning reveals that structural features distinguishing promiscuous and non-promiscuous compounds depend on target combinations

Design, synthesis, and anticancer activity of novel 4,6-dimorpholinyl-1,3,5-triazine compounds

Polypharmacology by Design: A Medicinal Chemist's Perspective on Multitargeting Compounds

Potential Impact of the Multi-Target Drug Approach in the Treatment of

Potential Impact of the Multi-Target Drug Approach in the Treatment of

Polypharmacology: promises and new drugs in 2022

PDF) Compounds with multitarget activity: structure-based analysis and machine learning

View of Multifunctional Ligand Approach: Search for Effective Therapy Against Alzheimer's Disease

Figure 1 from In silico methods to address polypharmacology: current status, applications and future perspectives.