您好，欢迎访问中国农业科学院 机构知识库！

全部

  • 全部
  • 标题
  • 学者
  • 机构
  • 关键词

Effective Gene Expression Prediction and Optimization from Protein Sequences

文献类型： 外文期刊

作者： Liu, Tuoyu 1 ; Zhang, Yiyang 2 ; Li, Yanjun 2 ; Xu, Guoshun 1 ; Gao, Han 1 ; Wang, Pengtao 2 ; Tu, Tao 1 ; Luo, Huiying 1 ; Wu, Ningfeng 2 ; Yao, Bin 1 ; Liu, Bo 2 ; Guan, Feifei 2 ; Huang, Huoqing 1 ; Tian, Jian 1 ;

作者机构： 1.Chinese Acad Agr Sci, State Key Lab Anim Nutr & Feeding, Inst Anim Sci, Beijing 100193, Peoples R China

2.Chinese Acad Agr Sci, Biotechnol Res Inst, Natl Key Lab Agr Microbiol, Beijing 100081, Peoples R China

3.Tianjin Univ, Sch Life Sci, Tianjin 300110, Peoples R China

关键词： amino acid expression index; mutant generation; predicting protein expression; soluble expression; transfer learning

期刊名称：ADVANCED SCIENCE （ 影响因子：14.1； 五年影响因子：15.6 ）

ISSN：

年卷期： 2025 年 12 卷 8 期

页码：

收录情况： SCI

摘要： High soluble protein expression in heterologous hosts is crucial for various research and applications. Despite considerable research on the impact of codon usage on expression levels, the relationship between protein sequence and expression is often overlooked. In this study, a novel connection between protein expression and sequence is uncovered, leading to the development of SRAB (Strength of Relative Amino Acid Bias) based on AEI (Amino Acid Expression Index). The AEI served as an objective measure of this correlation, with higher AEI values enhancing soluble expression. Subsequently, the pre-trained protein model MP-TRANS (MindSpore Protein Transformer) is developed and fine-tuned using transfer learning techniques to create 88 prediction models (MPB-EXP) for predicting heterologous expression levels across 88 species. This approach achieved an average accuracy of 0.78, surpassing conventional machine learning methods. Additionally, a mutant generation model, MPB-MUT, is devised and utilized to enhance expression levels in specific hosts. Experimental validation demonstrated that the top 3 mutants of xylanase (previously not expressed in Escherichia coli) successfully achieved high-level soluble expression in E. coli. These findings highlight the efficacy of the developed model in predicting and optimizing gene expression based on protein sequences.

  • 相关文献
作者其他论文 更多>>
置顶
购物车
反馈

© 京ICP备09089781号-29 主办单位：中国农业科学院

学术资源： 中国农业科学院 农业专业知识服务系统 农科联盟资源共建共享平台 中国农业科技文献与信息服务平台 中国农业期刊集成服务平台