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

PPAR-δ agonists are known to enhance fatty acid metabolism, preserving glucose and physical endurance and are suggested as candidates for treating metabolic diseases. None have reached the clinic yet. Our Machine Learning algorithm called “Iterative Stochastic Elimination” (ISE) was applied to const...

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Detalles Bibliográficos
Autores principales: Da’adoosh, Benny, Marcus, David, Rayan, Anwar, King, Fred, Che, Jianwei, Goldblum, Amiram
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6355875/
https://www.ncbi.nlm.nih.gov/pubmed/30705343
http://dx.doi.org/10.1038/s41598-019-38508-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6355875/
https://www.ncbi.nlm.nih.gov/pubmed/30705343
http://dx.doi.org/10.1038/s41598-019-38508-8

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