近日，美国麻省理工学院布罗德研究所和哈佛大学的科学家们利用人工智能（AI）技术，在筛选数百万种化合物过程中，发现了一类全新的抗生素。这项突破性研究为全球抗生素耐药性问题带来了新希望。相关研究成果发表在最新一期的《自然》杂志上。
借助人工智能技术，研究人员对大量化合物进行了筛选，最终发现这类新型抗生素具有杀死两种不同类型耐药细菌的能力。随着抗生素的广泛使用，细菌逐渐产生耐药性，导致现有抗生素疗效减弱。这一发现为应对抗生素耐药性挑战提供了新途径。
长期以来，抗生素的发现与开发依赖于传统的实验室筛选方法，耗时较长且效率较低。借助人工智能技术，研究人员可以在更短时间内筛选出具有潜在抗生素活性的化合物，从而提高研究效率。
此次研究成果不仅展示了人工智能在抗生素研发领域的巨大潜力，还为未来药物研究提供了新思路。随着全球抗生素耐药性问题日益严重，人工智能或将成为解决这一难题的关键工具。
英文翻译：
News Title: Artificial Intelligence Discovers New Antibiotics to Counter Drug Resistance
Keywords: Artificial Intelligence, Antibiotics, Drug Resistance
News Content:
Recently, scientists from the Broad Institute of MIT and Harvard University have utilized artificial intelligence (AI) technology to discover a new class of antibiotics during the screening of millions of compounds. This groundbreaking study brings new hope to address the global antibiotic resistance problem. The related research findings were published in the latest issue of the journal “Nature”.
By leveraging AI technology, researchers have screened a large number of compounds and ultimately found that these new antibiotics are capable of killing two different types of drug-resistant bacteria. As antibiotics have been widely used, bacteria have gradually developed resistance, leading to decreased efficacy of existing antibiotics. This discovery provides a new approach to tackle antibiotic resistance challenges.
Longitudinally, the discovery and development of antibiotics rely on traditional laboratory screening methods, which are time-consuming and inefficient. With the help of AI technology, researchers can screen a large number of compounds with potential antibiotic activity in a shorter period of time, thus improving research efficiency.
The research achievements not only demonstrate the immense potential of AI in the field of antibiotic research but also provide new insights for future drug research. As the global antibiotic resistance problem becomes increasingly severe, AI may become a key tool to solve this dilemma.
【来源】http://digitalpaper.stdaily.com/http_www.kjrb.com/kjrb/html/2023-12/25/content_564619.htm?div=-1
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