• Lecture time: Tuesday: 13:30:00 - 14:20:00 ET
  • Lab time: Thursday: 13:30:00 - 15:20:00 ET
  • Domain: Pharmaceutical
  • Keywords: Cheminformatics, Machine Learning
  • Tools: Bash, Python, R, R Shiny
  • Citizenship: Open to all students
Summary

Recently, generative models have emerged as a promising approach to accelerate various aspects of drug discovery, such as hit identification and lead optimization. Students will develop an application that deploys molecular generative models to chemists.

Description

Please see the PDF for a detailed project description. When registering for this project in UniTime, look for 'Merck (Molecular Generative Modeling)' in the Note section, and select the appropriate CRN.