摘要
机器人与机器学习的新闻编辑每日新闻-机器学习的新研究是一篇报道的主题。根据NewsRx记者在中国人民共和国北京的新闻报道，研究表明：“抗菌素耐药性(AMR)破坏了联合国关于健康和福祉的可持续发展目标。众所周知，抗生素会加剧AMR，但非抗生素抗微生物，如季铵化合物(QACs)，现在正成为AMR的另一个重要驱动力。”新闻记者引用了中国科学院的研究，“然而，由于QAC的化学性质和抗菌活性的模糊性，评估其在复杂环境基质中的AMR风险仍然具有挑战性。通过机器学习预测和高分辨率质谱分析，编制了Industrial Chemical Inventory中的抗菌QAC列表(=856)。”在沉积物中鉴定出50种结构多样的抗菌QAC，包括传统的羟基羰基化合物和带有附加官能团的新亚类，如胆碱、酯、甜菜碱、芳基醚和吡啶。毒性单位计算和宏基因组分析表明，这些QAC可以通过交叉和共抗性影响抗生素抗性基因（特别是磺胺类药物抗性基因），影响AMR的可能性与它们的环境持久性有关。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report. According to news reporting from Beijing, People’s Republ ic of China, by NewsRx journalists, research stated, “Antimicrobial resistance ( AMR) undermines the United Nations Sustainable Development Goals of good health and wellbeing. Antibiotics are known to exacerbate AMR, but nonantibiotic antim icrobials, such as quaternary ammonium compounds (QACs), are now emerging as ano ther significant driver of AMR.” The news correspondents obtained a quote from the research from the Chinese Acad emy of Sciences, “However, assessing the AMR risks of QACs in complex environmen tal matrices remains challenging due to the ambiguity in their chemical structur es and antibacterial activity. By machine learning prediction and high-resolutio n mass spectrometric analysis, a list of antibacterial QACs ( = 856) from indust rial chemical inventories is compiled, and it leads to the identification of 50 structurally diverse antibacterial QACs in sediments, including traditional hydr ocarbon-based compounds and new subclasses that bear additional functional group s, such as choline, ester, betaine, aryl ether, and pyridine. Urban wastewater, aquaculture, and hospital discharges are the main factors influencing QAC distri bution patterns in estuarine sediments. Toxic unit calculations and metagenomic analysis revealed that these QACs can influence antibiotic resistance genes (par ticularly sulfonamide resistance genes) through cross- and coresistances. The po tential to influence the AMR is related to their environmental persistence.”
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