A new AI method claims to map the protein universe in a single view, aiming to compress how researchers relate protein families and their evolutionary relationships—an approach that could improve downstream target discovery and annotation. In parallel, computational advances continue to focus on interpretability and uncertainty to make models usable in biomedical research workflows.
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