消息
×
loading..
A general temperature-guided language model to design proteins of enhanced stability and activity
2024-11-29
发表期刊SCIENCE ADVANCES (IF:11.7[JCR-2023],13.7[5-Year])
ISSN2375-2548
EISSN2375-2548
卷号10期号:48
发表状态已发表
DOI10.1126/sciadv.adr2641
摘要

Designing protein mutants with both high stability and activity is a critical yet challenging task in protein engineering. Here, we introduce PRIME, a deep learning model, which can suggest protein mutants with improved stability and activity without any prior experimental mutagenesis data for the specified protein. Leveraging temperature-aware language modeling, PRIME demonstrated superior predictive ability compared to current state-of-the-art models on the public mutagenesis dataset across 283 protein assays. Furthermore, we validated PRIME’s predictions on five proteins, examining the impact of the top 30 to 45 single-site mutations on various protein properties, including thermal stability, antigen-antibody binding affinity, and the ability to polymerize nonnatural nucleic acid or resilience to extreme alkaline conditions. More than 30% of PRIME-recommended mutants exhibited superior performance compared to their premutation counterparts across all proteins and desired properties. We developed an efficient and effective method based on PRIME to rapidly obtain multisite mutants with enhanced activity and stability. Hence, PRIME demonstrates broad applicability in protein engineering. © 2024 the Authors, some rights reserved;

关键词Antigen-antibody reactions Antigens 'current Enhanced stability Language model Learning models Predictive abilities Property Protein engineering Protein mutants State of the art Temperature aware
URL查看原文
收录类别EI ; PPRN.PPRN ; SCI
语种英语
资助项目National Natural Science Foundation of China["12104295","11974239","32471536"] ; National Key Research and Development Program of China[2021YFF1200200] ; Innovation Program of Shanghai Municipal Education Commission[2019-01-07-00-02-E00076] ; Shanghai JiaoTong University Scientific and Technological Innovation Funds[21X010200843] ; Computational Biology Key Program of Shanghai Science and Technology Commission[23JS1400600] ; Science and Technology Innovation Key R&D Program of Chongqing[CSTB2022TIAD-STX0017]
WOS研究方向Science & Technology - Other Topics
WOS类目Multidisciplinary Sciences
WOS记录号WOS:001402031000010
出版者American Association for the Advancement of Science
EI入藏号20245017502957
EI主题词Biochemical engineering
EI分类号103.2 ; 805.1 Chemical Engineering
原始文献类型Journal article (JA)
引用统计
正在获取...
文献类型期刊论文
条目标识符https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/461527
专题免疫化学研究所
生命科学与技术学院_硕士生
生命科学与技术学院_博士生
免疫化学研究所_PI研究组_刘佳组
通讯作者Song, Jie; Liu, Jia; Hong, Liang; Tan, Pan
作者单位
1.School of Physics and Astronomy, & Shanghai National center for Applied Mathematics (SJtU center), & institute of Natural Sciences, Shanghai Jiao tong University, Shanghai; 200240, China;
2.Shanghai Artificial intelligence laboratory, Shanghai; 200030, China;
3.School of information Science and engineering, East china University of Science and technology, Shanghai; 200240, China;
4.Shanghai institute for Advanced immunochemical Studies, School of life Sciences and technology, Shanghaitech University, Shanghai; 201210, China;
5.Guangzhou National laboratory, Guangzhou international Bio island, No. 9 XingdaohuanBei Road, Guangdong, Guangzhou; 510005, China;
6.Department of chemistry, University of Science and technology of china, Anhui, Hefei; 230001, China;
7.hangzhou institute of Medicine, chinese Academy of Sciences, Zhejiang, Hangzhou; 310018, China;
8.School of life Sciences and Biotechnology, & State Key laboratory of Microbial Metabolism, Joint international Research laboratory of Metabolic, Shanghai Jiao tong University, Shanghai; 200240, China;
9.Sensetime Research, Shanghai; 200233, China;
10.Institute of Key Biological Raw Material, Shanghai Academy of experimental Medicine, Shanghai; 201401, China;
11.hzymes Biotechnology co. ltd, hubei, Wuhan; 430075, China;
12.Zhanjiang institute for Advanced Study, Shanghai Jiao tong University, Shanghai; 200240, China
通讯作者单位免疫化学研究所
推荐引用方式
GB/T 7714
Jiang, Fan,Li, Mingchen,Dong, Jiajun,et al. A general temperature-guided language model to design proteins of enhanced stability and activity[J]. SCIENCE ADVANCES,2024,10(48).
APA Jiang, Fan.,Li, Mingchen.,Dong, Jiajun.,Yu, Yuanxi.,Sun, Xinyu.,...&Tan, Pan.(2024).A general temperature-guided language model to design proteins of enhanced stability and activity.SCIENCE ADVANCES,10(48).
MLA Jiang, Fan,et al."A general temperature-guided language model to design proteins of enhanced stability and activity".SCIENCE ADVANCES 10.48(2024).
条目包含的文件
文件名称/大小 文献类型 版本类型 开放类型 使用许可
个性服务
查看访问统计
谷歌学术
谷歌学术中相似的文章
[Jiang, Fan]的文章
[Li, Mingchen]的文章
[Dong, Jiajun]的文章
百度学术
百度学术中相似的文章
[Jiang, Fan]的文章
[Li, Mingchen]的文章
[Dong, Jiajun]的文章
必应学术
必应学术中相似的文章
[Jiang, Fan]的文章
[Li, Mingchen]的文章
[Dong, Jiajun]的文章
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。