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

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

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

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

Frontiers Mining the Protein Data Bank to inspire fragment library design

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

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

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

Polypharmacology: promises and new drugs in 2022

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

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

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

Seminar Series: Fall 2018 » Department of Medicinal Chemistry » College of Pharmacy » University of Florida

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

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

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

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

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

Automated design and optimization of multitarget schizophrenia drug candidates by deep learning

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

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

Computational Drug Discovery: Machine Learning for Making Sense of Big Data in Drug Discovery