Discovering highly selective and diverse PPAR-delta agonists by ligand based machine learning and structural modeling

Benny Da’adoosh, David Marcus, Anwar Rayan, Fred King, Jianwei Che, Amiram Goldblum*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

30 Scopus citations

Fingerprint

Dive into the research topics of 'Discovering highly selective and diverse PPAR-delta agonists by ligand based machine learning and structural modeling'. Together they form a unique fingerprint.

Keyphrases

Biochemistry, Genetics and Molecular Biology

Pharmacology, Toxicology and Pharmaceutical Science

Chemistry