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Newest perspectives of glycopeptide antibiotics: biosynthetic cascades, novel derivatives, and new appealing antimicrobial applications.
Tian, Li; Shi, Shi; Zhang, Xiangmei; Han, Fubo; Dong, Huijun.
Afiliação
  • Tian L; School of Pharmaceutical Sciences, Liaocheng University, 252000, Liaocheng, China.
  • Shi S; School of Pharmaceutical Sciences, Liaocheng University, 252000, Liaocheng, China.
  • Zhang X; School of Pharmaceutical Sciences, Liaocheng University, 252000, Liaocheng, China.
  • Han F; School of Pharmaceutical Sciences, Liaocheng University, 252000, Liaocheng, China.
  • Dong H; School of Pharmaceutical Sciences, Liaocheng University, 252000, Liaocheng, China. donghuijun_747@163.com.
World J Microbiol Biotechnol ; 39(2): 67, 2023 Jan 03.
Article em En | MEDLINE | ID: mdl-36593427
ABSTRACT
Glycopeptide antibiotics (GPAs) are a family of non-ribosomal peptide natural products with polypeptide skeleton characteristics, which are considered the last resort for treating severe infections caused by multidrug-resistant Gram-positive pathogens. Over the past few years, an increasing prevalence of Gram-positive resistant strain "superbugs" has emerged. Therefore, more efforts are needed to study and modify the GPAs to overcome the challenge of superbugs. In this mini-review, we provide an overview of the complex biosynthetic gene clusters (BGCs), the ingenious crosslinking and tailoring modifications, the new GPA derivatives, the discoveries of new natural GPAs, and the new applications of GPAs in antivirus and anti-Gram-negative bacteria. With the development and interdisciplinary integration of synthetic biology, next-generation sequencing (NGS), and artificial intelligence (AI), more GPAs with new chemical structures and action mechanisms will constantly be emerging.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Antibacterianos Tipo de estudo: Risk_factors_studies Idioma: En Revista: World J Microbiol Biotechnol Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Antibacterianos Tipo de estudo: Risk_factors_studies Idioma: En Revista: World J Microbiol Biotechnol Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China