Explore advanced protein design techniques in this comprehensive tutorial focusing on reinforcement learning and preference optimization methods. Delve into cutting-edge workflows that combine computational approaches to revolutionize protein engineering. Learn how to leverage reinforcement learning algorithms to navigate complex protein design spaces and optimize for desired properties. Discover the power of preference optimization in fine-tuning protein structures and functions. Gain hands-on experience with practical examples and case studies that demonstrate the application of these innovative techniques in real-world protein design challenges. Enhance your understanding of computational biology and expand your toolkit for creating novel proteins with tailored characteristics.
Protein Design Workflows Employing Reinforcement Learning and Preference Optimization - Tutorial 4
MICDE University of Michigan via YouTube
Overview
Syllabus
Gautham Dharuman: Protein Design Workflows Employing RL and Preference Optimization (Tutorial 4)
Taught by
MICDE University of Michigan
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