Department of Chemistry, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
Department of Chemistry, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
Methods Enzymol. 2022;663:157-175. doi: 10.1016/bs.mie.2021.11.002. Epub 2021 Dec 21.
Antimicrobial peptides (AMPs) are promising compounds for the treatment of antibiotic-resistant bacteria and are found across all organisms, including plants. Unlike most antibiotics, AMPs tend to act on more generalized and multiple targets, making development of resistance more difficult. Conventional approaches toward AMP identification include bioactivity-guided fractionation and genome mining. Complementary methods leveraging bioactivity-guided fractionation, cysteine motif-guided in silico AMP prediction, and mass spectrometric approaches can be combined to expand botanical AMP discovery. Herein, we present an integrated workflow which serves to streamline implementation toward a robust botanical AMP discovery pipeline.
抗菌肽（AMPs）是治疗抗生素耐药菌的有前途的化合物，存在于所有生物体中，包括植物。与大多数抗生素不同，AMPs 往往作用于更广泛和多种靶标，从而使耐药性的发展更加困难。传统的 AMP 鉴定方法包括基于生物活性的分离和基因组挖掘。可以结合利用基于生物活性的分离、半胱氨酸模体指导的计算机预测 AMP 以及质谱方法的互补方法来扩展植物 AMP 的发现。本文提出了一个集成工作流程，旨在简化向强大的植物 AMP 发现管道的实施。
