Argonne team breaks new ground in AI-driven protein design

• 全文链接

美国能源部阿贡国家实验室在人工智能驱动的蛋白质设计方面取得了新突破

关键词：

来源：

Eurekalert

全文链接：

//agri.nais.net.cn/topic/downloadFile/39d4aefb-30a5-4c77-a49c-5b3cb7a08f24

来源地址：

https://www.eurekalert.org/news-releases/1063969

资源所属：

饲料用酶工程

类型：

前沿资讯

语种：

英语

原文发布日期：

2024-11-06

摘要：

Harnessing the power of artificial intelligence (AI) and the world’s fastest supercomputers, a research team led by the U.S. Department of Energy’s (DOE) Argonne National Laboratory has developed an innovative computing framework to speed up the design of new proteins.One of the key innovations of the team’s MProt-DPO framework is its ability to integrate different types of data streams, or “multimodal data.” It combines traditional protein sequence data with experimental results, molecular simulations and even text-based narratives that provide detailed insights into each protein’s properties. This approach has the potential to accelerate protein discovery for a wide range of applications.