Screening antimicrobial peptides and probiotics using multiple deep learning and directed evolution strategies

扫码查看

原文链接

万方数据
维普

外文摘要：Owing to their limited accuracy and narrow applicability,current antimicrobial peptide(AMP)prediction models face obstacles in industrial application.To address these limitations,we developed and improved an AMP prediction model using Comparing and Optimizing Multiple DEep Learning(COMDEL)algorithms,coupled with high-throughput AMP screening method,finally reaching an accuracy of 94.8％in test and 88％in experiment verification,surpassing other state-of-the-art models.In conjunction with COMDEL,we employed the phage-assisted evolution method to screen Sortase in vivo and developed a cell-free AMP synthesis system in vitro,ultimately increasing AMPs yields to a range of 0.5-2.1 g/L within hours.Moreover,by multi-omics analysis using COMDEL,we identified Lactobacillus plantarum as the most promising candidate for AMP generation among 35 edible probiotics.Following this,we developed a microdroplet sorting approach and successfully screened three L.plantarum mutants,each showing a twofold increase in antimicrobial ability,underscoring their substantial industrial application values.

外文关键词：

Antimicrobial peptideDeep learningCell-free synthesisProbioticsL.plantarum

作者：

Yu Zhang、Li-Hua Liu、Bo Xu、Zhiqian Zhang、Min Yang、Yiyang He、Jingjing Chen、Yang Zhang、Yucheng Hu、Xipeng Chen、Zitong Sun、Qijun Ge、Song Wu、Wei Lei、Kaizheng Li、Hua Cui、Gangzhu Yang、Xuemei Zhao、Man Wang、Jiaqi Xia、Zhen Cao、Ao Jiang、Yi-Rui Wu

展开 >

作者单位：

Tidetron Bioworks Technology(Guangzhou)Co.,Ltd.,Guangzhou Qianxiang Bioworks Co.,Ltd.,Guangzhou 510000,China

Biology Department and Institute of Marine Sciences,College of Science,Shantou University,Shantou 515063,China

School of Basic Medical Sciences,Hubei University of Science and Technology,Xianning 437100,China

School of Education,Jianghan University,Wuhan 430056,China

Yeasen Biotechnology(Shanghai)Co.,Ltd.,Shanghai 200000,China

School of Basic Medicine,Jiamusi University,Jiamusi 154000,China

展开 >

基金：

Hubei University of Science and Technology Program,ChinaDoctoral Special Research Fund Launch Project of Jiamusi University,ChinaYouth Innovative Talent Cultivation Support Plan of Jiamusi University,China

项目编号：

BK202417JMSUBZ2021-12JMSUQP2022016

出版年：

2024

DOI：

10.1016/j.apsb.2024.05.003

药学学报(英文版)

CSTPCD

ISSN：

年,卷(期)：2024.14(8)