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  2. Bioinformatic Approaches Identify Hybrid Antibiotics against Tuberculosis via d-Amino Acid-Activating Adenylation Domains from Cordyceps militaris

Bioinformatic Approaches Identify Hybrid Antibiotics against Tuberculosis via d-Amino Acid-Activating Adenylation Domains from Cordyceps militaris

  • J Nat Prod. 2024 Aug 23;87(8):2110-2119. doi: 10.1021/acs.jnatprod.4c00718.
Yangle Gao 1 Lijuan Liao 2 3 Yuanteng Xu 4 Jianzhong Huang 1 Jiangtao Gao 2 Li Li 1
Affiliations

Affiliations

  • 1 Engineering Research Center of Industrial Microbiology, College of Life Sciences, Fujian Normal University, Fuzhou 350117, People's Republic of China.
  • 2 Key BioAI Synthetica Lab for Natural Product Drug Discovery, College of Bee and Biomedical Sciences, Fujian Agriculture and Forestry University, Fuzhou 350002, People's Republic of China.
  • 3 State Key Laboratory of Microbial Technology, Shandong University, Qingdao 266237, People's Republic of China.
  • 4 Department of Otorhinolaryngology-Head and Neck Surgery, The First Affiliated Hospital of Fujian Medical University, Fuzhou 350004, People's Republic of China.
Abstract

The development of tuberculosis (TB) therapy has been marked by the discovery of natural-product-derived streptomycin, followed by the introduction of NP-derived rifampicin, representing a significant milestone in the history of TB management. However, TB remains a global challenge, with the emergence of multidrug-resistant Mycobacterium tuberculosis highlighting the need for novel therapeutic agents. In this study, a bioinformatic approach was employed to investigate d-amino acid-activating adenylation domains, leading to the identification of cordysetin A (1), a novel trans-decalin tetramic acid Antibiotic from the ascomycete fungi Cordyceps militaris. Cordysetin A (1) exhibits considerable activity against M. tuberculosis in vitro and in vivo while maintaining low cytotoxicity. These results reveal that the d-configuration of the amino acid within this hybrid polyketide-nonribosomal Antibiotic is crucial for preserving its anti-tuberculosis efficacy. These findings emphasize the significant translational potential of cordysetin A as a promising candidate for TB treatment, furthering our understanding of bioinformatic approaches in the development of effective anti-tuberculosis agents.

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