Prediction of Orthosteric and Allosteric Regulations on Cannabinoid Receptors Using Supervised Machine Learning Classifiers

Những quyển sách tương tự

• Integrated Multi-Class Classification and Prediction of GPCR Allosteric Modulators by Machine Learning Intelligence
  Bằng: Hou, Tianling, et al.
  Được phát hành: (2021)
• Deep Learning for Drug Design: an Artificial Intelligence Paradigm for Drug Discovery in the Big Data Era
  Bằng: Jing, Yankang, et al.
  Được phát hành: (2018)
• Integrated In Silico Fragment-Based Drug Design: Case Study with Allosteric Modulators on Metabotropic Glutamate Receptor 5
  Bằng: Bian, Yuemin, et al.
  Được phát hành: (2017)
• Analysis of substance use and its outcomes by machine learning: II. Derivation and prediction of the trajectory of substance use severity
  Bằng: Hu, Ziheng, et al.
  Được phát hành: (2019)
• Analysis of substance use and its outcomes by machine learning I. Childhood Evaluation of Liability to Substance Use Disorder
  Bằng: Jing, Yankang, et al.
  Được phát hành: (2019)