Chemical Synthesis and Structure-Activity Relationship Study Yield Desotamide a Analogues with Improved Antibacterial Activity.
Run XuYongxiang SongJun LiJianhua JuQinglian LiPublished in: Marine drugs (2021)
Desotamides A, a cyclohexapeptide produced by the deep-sea-derived Streptomyces scopuliridis SCSIO ZJ46, displays notable antibacterial activities against strains of Streptococcus pnuemoniae, Staphylococcus aureus, and methicillin-resistant Staphylococcus epidermidis (MRSE). In this study, to further explore its antibacterial potential and reveal the antibacterial structure-activity relationship of desotamides, 13 cyclopeptides including 10 new synthetic desotamide A analogues and wollamides B/B1/B2 were synthesized and evaluated for their antibacterial activities against a panel of Gram-positive and -negative pathogens. The bioactivity data reveal that residues at position II and VI greatly impact antibacterial activity. The most potent antibacterial analogues are desotamide A4 (13) and A6 (15) where l-allo-Ile at position II was substituted with l-Ile and Gly at position VI was simultaneously replaced by d-Lys or d-Arg; desotamides A4 (13) and A6 (15) showed a 2-4-fold increase of antibacterial activities against a series of Gram-positive pathogens including the prevalent clinical drug-resistant pathogen methicillin-resistant Staphylococcus aureus (MRSA) with MIC values of 8-32 μg/mL compared to the original desotamide A. The enhanced antibacterial activity, broad antibacterial spectrum of desotamides A4 and A6 highlighted their potential as new antibiotic leads for further development.
Keyphrases
- silver nanoparticles
- staphylococcus aureus
- structure activity relationship
- methicillin resistant staphylococcus aureus
- drug resistant
- biofilm formation
- gram negative
- multidrug resistant
- anti inflammatory
- molecular docking
- essential oil
- acinetobacter baumannii
- wound healing
- genome wide
- risk assessment
- electronic health record
- pseudomonas aeruginosa
- single cell
- antimicrobial resistance
- machine learning
- human health
- big data
- dna methylation
- deep learning
- oxide nanoparticles