To handle increasingly large protein databases, a new ultrafast, highly sensitive method — Dense Homolog Retriever (DHR) — detects remote homologs using dense retrieval and protein language models. Its alignment-free nature makes it much faster than traditional approaches, and the newly found remote homologs benefit our understanding of protein evolution, structure and function.

中文翻译：

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蛋白质语言模型可实现快速、灵敏的远程同源物检测


为了处理日益庞大的蛋白质数据库，一种新的超快、高度敏感的方法——密集同源检索器（DHR）——使用密集检索和蛋白质语言模型来检测远程同源物。其免比对性质使其比传统方法快得多，而且新发现的远程同源物有利于我们对蛋白质进化、结构和功能的理解。