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Combining existing multiple drugs with enhanced efficacy and\/or reduced toxicity may be a promising approach to treat AMR. D\u2010amino acids mixtures coupled with antibiotics can provide new therapies for drug\u2010resistance infection with reduced toxicity by lower drug dosage requirements. However, iterative trial\u2010and\u2010error 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\u2010throughput screening and machine learning optimization. Such an intelligent method can navigate the large search space and rapidly identify the D\u2010amino acid mixtures with the highest anti\u2010biofilm efficiency and also the synergisms between D\u2010amino acid mixtures and antibiotics. The optimized drug cocktails exhibit high antimicrobial efficacy while remaining non\u2010toxic, which is demonstrated not only from in vitro assessments but also the first in vivo study using a lung infection mouse model.<\/jats:p>","DOI":"10.1002\/advs.202307173","type":"journal-article","created":{"date-parts":[[2023,12,21]],"date-time":"2023-12-21T07:15:29Z","timestamp":1703142929000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":19,"title":["Synergistic D\u2010Amino Acids Based Antimicrobial Cocktails Formulated via High\u2010Throughput Screening and Machine Learning"],"prefix":"10.1002","volume":"11","author":[{"given":"Jingzhi","family":"Yang","sequence":"first","affiliation":[{"name":"Beijing Advanced Innovation Center for Materials Genome Engineering Institute for Advanced Materials and Technology University of Science and Technology Beijing  Beijing 100083 China"},{"name":"National Materials Corrosion and 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