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Article

A general temperature-guided language model to design proteins of enhanced stability and activity.

Science advances - 29 Nov 2024

Jiang Fan, Li Mingchen, Dong Jiajun, Yu Yuanxi, Sun Xinyu, Wu Banghao, Huang Jin, Kang Liqi, Pei Yufeng, Zhang Liang, Wang Shaojie, Xu Wenxue, Xin Jingyao, Ouyang Wanli, Fan Guisheng, Zheng Lirong, Tan Yang, Hu Zhiqiang, Xiong Yi, Feng Yan, Yang Guangyu, Liu Qian, Song Jie, Liu Jia, Hong Liang, Tan Pan

Abstract excerpt

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...

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Models, Molecular
Mutation
Protein Engineering
Protein Stability

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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PMID: 39602544
DOI: 10.1126/sciadv.adr2641
PMCID: PMC11601203

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