Synergistic D‐Amino Acids Based Antimicrobial Cocktails Formulated via High‐Throughput Screening and Machine Learning
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‐am...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2024-03-01
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| Series: | Advanced Science |
| Subjects: | |
| Online Access: | https://doi.org/10.1002/advs.202307173 |
| _version_ | 1797271820470059008 |
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| author | Jingzhi Yang Yami Ran Shaopeng Liu Chenhao Ren Yuntian Lou Pengfei Ju Guoliang Li Xiaogang Li Dawei Zhang |
| author_facet | Jingzhi Yang Yami Ran Shaopeng Liu Chenhao Ren Yuntian Lou Pengfei Ju Guoliang Li Xiaogang Li Dawei Zhang |
| author_sort | Jingzhi Yang |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-07T14:13:45Z |
| format | Article |
| id | doaj.art-8c6b42a80c9747c4822321074d259103 |
| institution | Directory Open Access Journal |
| issn | 2198-3844 |
| language | English |
| last_indexed | 2024-03-07T14:13:45Z |
| publishDate | 2024-03-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advanced Science |
| spelling | doaj.art-8c6b42a80c9747c4822321074d2591032024-03-06T14:04:50ZengWileyAdvanced Science2198-38442024-03-01119n/an/a10.1002/advs.202307173Synergistic D‐Amino Acids Based Antimicrobial Cocktails Formulated via High‐Throughput Screening and Machine LearningJingzhi Yang0Yami Ran1Shaopeng Liu2Chenhao Ren3Yuntian Lou4Pengfei Ju5Guoliang Li6Xiaogang Li7Dawei Zhang8Beijing Advanced Innovation Center for Materials Genome Engineering Institute for Advanced Materials and Technology University of Science and Technology Beijing Beijing 100083 ChinaBeijing Advanced Innovation Center for Materials Genome Engineering Institute for Advanced Materials and Technology University of Science and Technology Beijing Beijing 100083 ChinaBeijing Advanced Innovation Center for Materials Genome Engineering Institute for Advanced Materials and Technology University of Science and Technology Beijing Beijing 100083 ChinaBeijing Advanced Innovation Center for Materials Genome Engineering Institute for Advanced Materials and Technology University of Science and Technology Beijing Beijing 100083 ChinaBeijing Advanced Innovation Center for Materials Genome Engineering Institute for Advanced Materials and Technology University of Science and Technology Beijing Beijing 100083 ChinaShanghai Aerospace Equipment Manufacturer Shanghai 200245 ChinaCollege of Materials Science and Engineering Beijing University of Chemical Technology Beijing 100029 ChinaBeijing Advanced Innovation Center for Materials Genome Engineering Institute for Advanced Materials and Technology University of Science and Technology Beijing Beijing 100083 ChinaBeijing Advanced Innovation Center for Materials Genome Engineering Institute for Advanced Materials and Technology University of Science and Technology Beijing Beijing 100083 ChinaAbstract 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.https://doi.org/10.1002/advs.202307173antimicrobial resistanceD‐amino acidshigh‐throughput screeningmachine learning |
| spellingShingle | Jingzhi Yang Yami Ran Shaopeng Liu Chenhao Ren Yuntian Lou Pengfei Ju Guoliang Li Xiaogang Li Dawei Zhang Synergistic D‐Amino Acids Based Antimicrobial Cocktails Formulated via High‐Throughput Screening and Machine Learning Advanced Science antimicrobial resistance D‐amino acids high‐throughput screening machine learning |
| title | Synergistic D‐Amino Acids Based Antimicrobial Cocktails Formulated via High‐Throughput Screening and Machine Learning |
| title_full | Synergistic D‐Amino Acids Based Antimicrobial Cocktails Formulated via High‐Throughput Screening and Machine Learning |
| title_fullStr | Synergistic D‐Amino Acids Based Antimicrobial Cocktails Formulated via High‐Throughput Screening and Machine Learning |
| title_full_unstemmed | Synergistic D‐Amino Acids Based Antimicrobial Cocktails Formulated via High‐Throughput Screening and Machine Learning |
| title_short | Synergistic D‐Amino Acids Based Antimicrobial Cocktails Formulated via High‐Throughput Screening and Machine Learning |
| title_sort | synergistic d amino acids based antimicrobial cocktails formulated via high throughput screening and machine learning |
| topic | antimicrobial resistance D‐amino acids high‐throughput screening machine learning |
| url | https://doi.org/10.1002/advs.202307173 |
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