Synthesis and Development of N -2,5-Dimethylphenylthioureido Acid Derivatives as Scaffolds for New Antimicrobial Candidates Targeting Multidrug-Resistant Gram-Positive Pathogens.
Povilas KavaliauskasBirutė GrybaitėRita VaickelionienėBirutė Sapijanskaitė-BanevičKazimieras AnusevičiusAgnė KriaučiūnaitėGabrielė SmailienėVidmantas PetraitisRūta PetraitienėEthan NaingAndrew GarciaVytautas MickevičiusPublished in: Antibiotics (Basel, Switzerland) (2023)
The growing antimicrobial resistance to last-line antimicrobials among Gram-positive pathogens remains a major healthcare emergency worldwide. Therefore, the search for new small molecules targeting multidrug-resistant pathogens remains of great importance. In this paper, we report the synthesis and in vitro antimicrobial activity characterisation of novel thiazole derivatives using representative Gram-negative and Gram-positive strains, including tedizolid/linezolid-resistant S. aureus, as well as emerging fungal pathogens. The 4-substituted thiazoles 3h , and 3j with naphthoquinone-fused thiazole derivative 7 with excellent activity against methicillin and tedizolid/linezolid-resistant S. aureus . Moreover, compounds 3h , 3j and 7 showed favourable activity against vancomycin-resistant E. faecium . Compounds 9f and 14f showed broad-spectrum antifungal activity against drug-resistant Candida strains, while ester 8f showed good activity against Candida auris which was greater than fluconazole. Collectively, these data demonstrate that N -2,5-dimethylphenylthioureido acid derivatives could be further explored as novel scaffolds for the development of antimicrobial candidates targeting Gram-positive bacteria and drug-resistant pathogenic fungi.
Keyphrases
- gram negative
- multidrug resistant
- drug resistant
- acinetobacter baumannii
- antimicrobial resistance
- staphylococcus aureus
- healthcare
- klebsiella pneumoniae
- methicillin resistant staphylococcus aureus
- candida albicans
- escherichia coli
- cancer therapy
- public health
- emergency department
- tissue engineering
- pseudomonas aeruginosa
- artificial intelligence
- molecular docking
- machine learning
- deep learning
- cell wall
- water soluble
- emergency medical
- molecular dynamics simulations