新多模態框架助力蛋白質設計，AI引領生物科技新潮流
在生物科技領域，人工智能的應用正快速推動蛋白質的發現與設計。近日，加州大學伯克利分校（UC Berkeley）與加州理工學院(Caltech)的研究團隊聯合開發了一種名爲 ProteinDT 的新型多模態框架，旨在利用文本描述來輔助蛋白質設計。這一創新方法不僅結合了蛋白質的序列和結構信息，還整合了大量以文本形式存在的生物知識，開啓了蛋白質設計的新篇章。ProteinDT 的工作流程分爲三個主要步驟。首先，研究團隊利用 “對比性語言 - 蛋白質預訓練”（ProteinCLAP）方法，將文本描述與蛋白質序列
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