Biohub发布蛋白质世界模型，包括ESMC-6B和ESMFold2，利用6.8B蛋白质和1.1B结构数据。科学负责人解释蛋白质语言模型可从序列学习结构与功能，并推出5亿美元虚拟生物学计划，旨在构建细胞、疾病和生理的预测模型。
🆕Biohub’s Protein World Model: ESMC-6B, ESMFold2, 6.8B proteins, 1.1B structures, antibody design, SAEs, & the bitter lesson for biology https://t.co/2BkTzLGqvW
@biohub Head of Science @alexrives explains why biology may scale like language modeling, how metagenomics unlocked the next ESM scaling curve, why protein LMs can learn structure/function from sequence alone, how sparse autoencoders reveal biology inside the model, why ESMFold2 can beat specialized systems on antibody-antigen prediction, and how Biohub’s $500M Virtual Biology Initiative aims to build predictive models of cells, disease, and eventually physiology.
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