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相关概念视频

Development of Antibiotic Resistance01:30

Development of Antibiotic Resistance

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Antibiotic resistance is a major public health concern that arises when bacteria evolve mechanisms to withstand the effects of antibiotic treatments. This resistance can be intrinsic, acquired through genetic mutations, or transferred between bacteria via horizontal gene transfer. The development of antibiotic resistance poses significant challenges in treating bacterial infections and necessitates ongoing research to develop new therapeutic strategies.Intrinsic resistance occurs when bacterial...
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Transduction01:16

Transduction

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Among the three main modes of HGT—transformation, conjugation, and transduction—transduction is unique in that it is mediated by bacteriophages, or bacterial viruses.Transduction occurs in two ways. Generalized transduction occurs during the lytic cycle of a bacteriophage infection. In this process, bacteriophages infect bacterial cells, replicate within them, and ultimately cause cell lysis, releasing newly assembled virions. Occasionally, random fragments of the bacterial genome...
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Antibiotic Selection00:57

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Drug Discovery: Overview

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Drug discovery is a multifaceted process involving extensive screening, testing, and optimization of lead compounds to identify potential new drugs for therapeutic use. It combines several approaches, including screening large numbers of natural products, chemical modification of known active molecules, identification of new drug targets, and rational design based on biological mechanisms and drug-receptor structure. These approaches are carried out in both academic research laboratories and...
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Synergism is a useful mechanism where combining two or more drugs is more effective than each constituent used alone. Such combinations are also called supra-additive interactions. The drugs collectively enhance the final therapeutic effect by acting on different targets. Another advantage is that the low dose of each constituent drug is sufficient to achieve the desired effect. This helps reduce the duration of therapy and lower the adverse effects of these drugs.
Such synergistic combinations...
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The human immune system is a complex network of cells, tissues, and organs that work together to defend the body against bacterial infections. It consists of various immune cells, each playing a specific role in the defense mechanism.
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相关实验视频

Updated: Nov 11, 2025

Antibiotic Dereplication Using the Antibiotic Resistance Platform
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深度学习的抗生素发现方法

Jonathan M Stokes1, Kevin Yang2, Kyle Swanson2

  • 1Department of Biological Engineering, Synthetic Biology Center, Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Machine Learning for Pharmaceutical Discovery and Synthesis Consortium, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.

Cell
|February 22, 2020
PubMed
概括

一个深度神经网络发现了素, 这是一种新型抗生素, 这一人工智能驱动的发现扩大了抗生素的武器库,

关键词:
抗生素耐药性抗生素耐受性抗生素药物发现机器学习

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科学领域:

  • 微生物学
  • 人工智能
  • 药物发现

背景情况:

  • 抗生素耐药性细菌的增加需要新型抗菌剂的发现.
  • 传统的抗生素发现方法在识别新药候选物方面面临重大挑战.

研究的目的:

  • 开发和应用深度神经网络来预测具有抗菌活性的分子.
  • 使用人工智能识别新型,结构不同的抗菌化合物.

主要方法:

  • 在化学图书馆中训练深层神经网络,
  • 选大型化学数据库,包括ZINC15数据库,寻找潜在的抗生素候选药物.
  • 在体外和体内测试各种细菌病原体的有效性,如素.

主要成果:

  • 发现了素,这种分子与现有的抗生素结构不同,具有广泛的杀菌活性.
  • 在小鼠模型中成功治疗Clostridioides difficile和泛耐药的Acinetobacter baumannii感染.
  • 从超过1.7亿个分子中识别出8种新型抗菌化合物,它们的结构与已知的抗生素完全不同.

结论:

  • 深度学习模型是加速抗生素发现的有效工具.
  • 人工智能可以识别具有独特结构的新型抗菌分子,扩大对抗性病原体的治疗选择.
  • 这种方法为补充日益减少的抗生素供应提供了一个有希望的策略.