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

Eitemau Tebyg

• DeepSnap-Deep Learning Approach Predicts Progesterone Receptor Antagonist Activity With High Performance
  gan: Yasunari Matsuzaka, et al.
  Cyhoeddwyd: (2020-01-01)
• Molecular Image-Based Prediction Models of Nuclear Receptor Agonists and Antagonists Using the DeepSnap-Deep Learning Approach with the Tox21 10K Library
  gan: Matsuzaka, Yasunari, et al.
  Cyhoeddwyd: (2020)
• Prediction Model with High-Performance Constitutive Androstane Receptor (CAR) Using DeepSnap-Deep Learning Approach from the Tox21 10K Compound Library
  gan: Yasunari Matsuzaka, et al.
  Cyhoeddwyd: (2019-09-01)
• Prediction Model with High-Performance Constitutive Androstane Receptor (CAR) Using DeepSnap-Deep Learning Approach from the Tox21 10K Compound Library
  gan: Matsuzaka, Yasunari, et al.
  Cyhoeddwyd: (2019)
• Prediction Model of Aryl Hydrocarbon Receptor Activation by a Novel QSAR Approach, DeepSnap–Deep Learning
  gan: Matsuzaka, Yasunari, et al.
  Cyhoeddwyd: (2020)