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Synergistic D-Amino Acids Based Antimicrobial Cocktails Formulated via High-Throughput Screening and Machine Learning.
- Source :
-
Advanced science (Weinheim, Baden-Wurttemberg, Germany) [Adv Sci (Weinh)] 2024 Mar; Vol. 11 (9), pp. e2307173. Date of Electronic Publication: 2023 Dec 21. - Publication Year :
- 2024
-
Abstract
- Antimicrobial resistance (AMR) from pathogenic bacterial biofilms has become a global health issue while developing novel antimicrobials is inefficient and costly. Combining existing multiple drugs with enhanced efficacy and/or reduced toxicity may be a promising approach to treat AMR. D-amino acids mixtures coupled with antibiotics can provide new therapies for drug-resistance infection with reduced toxicity by lower drug dosage requirements. However, iterative trial-and-error experiments are not tenable to prioritize credible drug formulations, owing to the extremely large number of possible combinations. Herein, a new avenue is provide to accelerate the exploration of desirable antimicrobial formulations via high-throughput screening and machine learning optimization. Such an intelligent method can navigate the large search space and rapidly identify the D-amino acid mixtures with the highest anti-biofilm efficiency and also the synergisms between D-amino acid mixtures and antibiotics. The optimized drug cocktails exhibit high antimicrobial efficacy while remaining non-toxic, which is demonstrated not only from in vitro assessments but also the first in vivo study using a lung infection mouse model.<br /> (© 2023 The Authors. Advanced Science published by Wiley-VCH GmbH.)
Details
- Language :
- English
- ISSN :
- 2198-3844
- Volume :
- 11
- Issue :
- 9
- Database :
- MEDLINE
- Journal :
- Advanced science (Weinheim, Baden-Wurttemberg, Germany)
- Publication Type :
- Academic Journal
- Accession number :
- 38126652
- Full Text :
- https://doi.org/10.1002/advs.202307173