From Machine Learning to Natural Product Derivatives that Selectively Activate Transcription Factor PPARγ-Reference-Cited by-同舟云学术

From Machine Learning to Natural Product Derivatives that Selectively Activate Transcription Factor PPARγ

Published:2010-02-01 Issue:2 Volume:5 Page:191-194
ISSN:1860-7179
Container-title:ChemMedChem
language:en
Short-container-title:ChemMedChem

Author:

Rupp Matthias,Schroeter Timon,Steri Ramona,Zettl Heiko,Proschak Ewgenij,Hansen Katja,Rau Oliver,Schwarz Oliver,Müller-Kuhrt Lutz,Schubert-Zsilavecz Manfred,Müller Klaus-Robert,Schneider Gisbert

Publisher

Wiley

Subject

Organic Chemistry,General Pharmacology, Toxicology and Pharmaceutics,Molecular Medicine,Drug Discovery,Biochemistry,Pharmacology

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/cmdc.200900469/fullpdf

Reference43 articles.

1. Coactivators in Assay Design for Nuclear Hormone Receptor Drug Discovery

2. Evolution of Peroxisome Proliferator-Activated Receptor Agonists

3. Gaussian Processes in Machine Learning

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