Overview

Instructor(s): Dr. Dinesh Devarajan

Time: Friday, April 10, 2026 — 10:00AM-12:30PM CT

Location: Blocker 220

Prerequisite(s): Active HPRC Account, Linux/Unix skills

This short course provides hands-on introduction to diffusion-based generative models for protein design, with a focus on RFdiffusion. Participants will learn how to run RFdiffusion inference workflows on HPRC clusters. The session will introduce the computational workflow, strategies for generative design runs on HPC infrastructure.

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Course Materials

• Generative AI for Protein Design (Spring 2026): [PDF]

Participation

During the training, attendees are expected to log in to an HPRC cluster using their own computer and complete the instructor-led examples and exercises.

Learning Objectives and Agenda

In this course, participants will

• Understand how diffusion models such as RFdiffusion enable de novo protein design
• Learn how RFdiffusion inference workflows are executed on HPC systems
• Set up and run RFdiffusion inference through guided, hands-on exercises
• Modify RFdiffusion input parameters (motifs, length, symmetry, structural constraints) to guide protein backbone generation
• Interpret and visualize RFdiffusion outputs