DeepSnap-Deep Learning Approach Predicts Progesterone Receptor Antagonist Activity With High Performance

DeepSnap-Deep Learning Approach Predicts Progesterone Receptor Antagonist Activity With High Performance

The progesterone receptor (PR) is important therapeutic target for many malignancies and endocrine disorders due to its role in controlling ovulation and pregnancy via the reproductive cycle. Therefore, the modulation of PR activity using its agonists and antagonists is receiving increasing interest...

Full description

Bibliographic Details
Main Authors: Yasunari Matsuzaka, Yoshihiro Uesawa
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-01-01
Series:Frontiers in Bioengineering and Biotechnology
Subjects:
chemical structure
progesterone receptor
DeepSnap
deep learning
QSAR
machine learning
Online Access:https://www.frontiersin.org/article/10.3389/fbioe.2019.00485/full

Internet

https://www.frontiersin.org/article/10.3389/fbioe.2019.00485/full

Similar Items