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A blog post from Ligo discussing the redundancy of natural protein folds and the challenges of scaling structural data for generative biomolecular models, referencing AlphaFold3 and other recent models.
A user reports that GPT 5.5 successfully conducts autonomous research in structural biology, improving AlphaFold2's performance after 150+ hours of goal mode.
This paper proposes SoftBlobGIN, a framework that enhances the interpretability of protein language model representations by projecting them onto contact graphs for structure-aware message passing. It demonstrates improved performance on enzyme classification and binding-site detection while providing auditable structural explanations.
Researchers used AlphaFold and cryo-EM to map the structure of the apoB100 protein, which forms bad cholesterol, marking a significant breakthrough in understanding heart disease.