Protein Structure with Transformers - Lecture 9
Offered By: Manolis Kellis via YouTube
Course Description
Overview
Explore the fascinating world of protein structure prediction using transformer models in this comprehensive lecture. Delve into the cutting-edge applications of machine learning in computational biology as you learn how transformers are revolutionizing our understanding of protein folding. Discover the principles behind these powerful models and their ability to accurately predict three-dimensional protein structures from amino acid sequences. Gain insights into the latest advancements in the field, including the groundbreaking AlphaFold algorithm. Examine the implications of these technologies for drug discovery, protein engineering, and our overall understanding of biological systems. Whether you're a bioinformatics enthusiast, a computational biologist, or simply curious about the intersection of AI and molecular biology, this lecture offers a deep dive into the transformative potential of machine learning in decoding the mysteries of protein structure.
Syllabus
Lecture 09 Protein Structure with Transformers
Taught by
Manolis Kellis
Related Courses
Neural Networks for Machine LearningUniversity of Toronto via Coursera 機器學習技法 (Machine Learning Techniques)
National Taiwan University via Coursera Machine Learning Capstone: An Intelligent Application with Deep Learning
University of Washington via Coursera Прикладные задачи анализа данных
Moscow Institute of Physics and Technology via Coursera Leading Ambitious Teaching and Learning
Microsoft via edX