Machine learning and genetic algorithm-guided directed evolution for the development of antimicrobial peptides-Reference-Cited by-同舟云学术

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Machine learning and genetic algorithm-guided directed evolution for the development of antimicrobial peptides

Published:2024-03 Issue: Volume: Page:
ISSN:2090-1232
Container-title:Journal of Advanced Research
language:en
Short-container-title:Journal of Advanced Research

Author:

Zhang Heqian^ORCID,Wang Yihan^ORCID,Zhu Yanran^ORCID,Huang Pengtao^ORCID,Gao Qiandi^ORCID,Li Xiaojie^ORCID,Chen Zhaoying,Liu Yu^ORCID,Jiang Jiakun,Gao Yuan,Huang Jiaquan^ORCID,Qin Zhiwei^ORCID

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference80 articles.

1. Antibiotic resistance: the last resort;McKenna;Nature,2013

2. Growing unculturable bacteria;Stewart;J Bacteriol,2012

3. Natural products version 2.0: connecting genes to molecules;Walsh;J Am Chem Soc,2010

4. Antimicrobial peptides (AMPs): a patent review (2015–2020);Annunziato;Expert Opin Ther Pat,2020

5. Industrial application of antimicrobial peptides based on their biological activity and structure-activity relationship;Tian;Crit Rev Food Sci Nutr,2021

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. An Engineered Nisin Analogue with a Hydrophobic Moiety Attached at Position 17 Selectively Inhibits Enterococcus faecium Strains;ACS Chemical Biology;2024-09-10

2. Identification and functional analysis of a serine protease inhibitor using machine learning strategy;International Journal of Biological Macromolecules;2024-04

3. New antibiotic against multi-drug resistant bacteria;The Innovation Life;2024

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