We are excited to share GPN-Star, a cost-effective, biologically grounded genomic language modeling framework that achieves state-of-the-art performance across a wide range of variant effect prediction tasks relevant to human genetics.
www.biorxiv.org/content/10.1...
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Guide your favorite protein generative model with experimental data? Meet ProteinGuide - a method to condition pre-trained models on properties without retraining. We validated it both in silico by guiding ProteinMPNN and ESM3 on 3 tasks and in vitro by engineering base editors.

What's better than 1 deep mutational scanning (DMS) library? 2! In a new pre-print @brittneywthornton.bsky.social and @rfw.bsky.social et al. map the mutational landscape of ISDra2 TnpB protein and reRNA and leverage these datasets to engineer highly active variants (1/9)