AI assisted protein interaction modeling, pioneered by AlphaFold and RosettaFold, has become more diverse both with respect to the programs that do it, and how users run these programs. In this talk, we will cover the programs that are supported at the University of Utah, namely Alphafold2, Alphafold3, Colabfold, Boltz1, RFDiffusion and other tools from the Baker lab, the choices we have made with their deployment, and our experiences with using them. With respect to the ways to run, we will go over the standard SLURM scripts to run Alphafold in two stages (CPU only MSA search, GPU accelerated inference), use Colabfold server for faster MSA search, and using Google Colab running on compute nodes for interactive modeling in a notebook interface. Attendees should leave this talk with ideas how to set up and support these tools and contacts to UofU staff for further questions.
The National Artificial Intelligence Research Resource (NAIRR) is a federal initiative aimed at providing researchers with greater access to advanced AI tools, datasets, and computing infrastructure. By connecting academic institutions, national labs, and government agencies, NAIRR is building a shared ecosystem to support AI-driven discovery across scientific disciplines. This talk will highlight the goals of the NAIRR pilot, outline its current offerings, and explore how institutions in the RMACC community can engage with and benefit from this growing national effort.
