美国麻省理工学院布罗德研究所和哈佛大学的科学家借助人工智能（AI）筛选出了一种全新的抗生素，为解决全球抗生素耐药性挑战带来了新希望。这种抗生素能有效杀死两种不同类型的耐药细菌，为医学界提供了新的武器。相关研究论文已发表在新一期《自然》杂志上。
在过去几十年里，抗生素的过度使用和误用导致了越来越多的细菌产生耐药性，使得许多原本容易治疗的感染变得日益严重和难以治愈。这一问题已经成为全球公共卫生领域的一个重大挑战。然而，新的抗生素的研发速度远远赶不上细菌耐药性的发展速度。因此，此次AI筛选出的全新抗生素无疑为解决这个问题带来了新的希望。
该研究团队通过AI技术筛选了数百万种化合物，最终发现了一种具有强大杀菌能力的抗生素。这种抗生素不仅能够杀死两种不同类型的耐药细菌，而且对其他类型的细菌也没有明显的副作用。这使得它在治疗感染方面具有更广泛的应用前景。
这项研究的成功展示了AI技术在药物研发领域的巨大潜力。借助AI的高效筛选能力，科学家们可以更快地找到新的药物候选物，从而加速新药的研发过程。同时，这也为解决抗生素耐药性挑战提供了新的思路和方法。
英文标题：AI Discovers New Antibiotics to Crack Drug Resistance Challenge
关键词：AI，antibiotics，drug resistance
英文新闻内容：
Scientists from the Broad Institute of MIT and Harvard, with the help of artificial intelligence (AI), have identified a new class of antibiotics, offering fresh hope for addressing the global challenge of antibiotic resistance. This new class of antibiotics is capable of killing two different types of drug-resistant bacteria, providing the medical community with a new weapon. The related research paper has been published in the latest issue of the journal Nature.
Over the past few decades, the overuse and misuse of antibiotics have led to the development of drug resistance in many bacteria, making previously treatable infections increasingly severe and difficult to cure. This issue has become a significant challenge in the field of global public health. However, the development of new antibiotics has not kept pace with the emergence of drug-resistant bacteria. Therefore, the identification of this new class of antibiotics by AI technology has brought new hope to address this problem.
The research team used AI technology to screen millions of compounds and ultimately found an antibiotic with powerful bactericidal properties. This antibiotic is not only effective against two different types of drug-resistant bacteria but also has minimal side effects on other types of bacteria, making it promising for treating a wider range of infections.
The success of this study demonstrates the immense potential of AI technology in the field of drug development. With the help of AI’s efficient screening capabilities, scientists can faster identify new drug candidates, accelerating the research and development process of new drugs. At the same time, this also provides new ideas and methods to address the challenge of antibiotic resistance.
【来源】http://digitalpaper.stdaily.com/http_www.kjrb.com/kjrb/html/2023-12/25/content_564619.htm?div=-1
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