Overview
Provides a comprehensive understanding of the integration of artificial intelligence (AI) in drug discovery in pharmaceutical sciences. It covers cheminformatics, machine learning, deep learning, and their applications for small molecule and biologics drug design and discovery. Students will gain both a general understanding and hands-on experience of AI applications in drug discovery in pharmaceutical sciences.
- Credit(s): 3
- Course Format: Asynchronous
- Required: Yes.
- Prerequisites: Basic knowledge of biology and chemistry, foundational understanding of machine learning, deep learning, and programming (preferably in Python).
Course Objectives
Upon completion of this course, the student will be able to:
- Summarize the core concepts of AI and its role in revolutionizing drug discovery.
- Understand and apply machine learning and deep learning methodologies in drug design and analysis.
- Develop innovative approaches using AI for solving complex problems in drug discovery
Library Access
UF online graduate students enjoy the same library privileges as on-campus students. Visit the University of Florida Libraries to find books, journals and more.