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Our latest protein family-based GenAI collection of tools and datasets, ProFam, is out now. Everything -- from data, training and inference code, to a 215M llama-based ProFam-1 are fully open sourced. 🧵

With ProFam-1, we scaled learning from single sequence to protein family definitions of different kinds, curating a large protein family corpus, ProtFam-atlas. I'm particularily stoked about the idea of inference-time-compute. This contribution laid out a very exciting path for future work.

In essence, we probed the model's ability to ricapitulate family statistics, bootstrap protein structure prediction, and assess mutation effect, demonstrating excellent performance across all tasks, especially using test-time-scaling via prompt conditioning.