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相关概念视频

Lytic Cycle of Bacteriophages01:30

Lytic Cycle of Bacteriophages

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Bacteriophages, also known as phages, are specialized viruses that infect bacteria. A key characteristic of phages is their distinctive “head-tail” morphology. A phage begins the infection process (i.e., lytic cycle) by attaching to the outside of a bacterial cell. Attachment is accomplished via proteins in the phage tail that bind to specific receptor proteins on the outer surface of the bacterium. The tail injects the phage’s DNA genome into the bacterial cytoplasm. In the...
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Lysogenic Cycle of Bacteriophages00:43

Lysogenic Cycle of Bacteriophages

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In contrast to the lytic cycle, phages infecting bacteria via the lysogenic cycle do not immediately kill their host cell. Instead, they combine their genome with the host genome, allowing the bacteria to replicate the phage DNA along with the bacterial genome. The incorporated copy of the phage genome is called the prophage. Some prophages can re-activate and enter the lytic cycle. This often occurs in response to a perturbation, such as DNA damage, but can also transpire in the absence of...
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相关实验视频

Updated: Jul 3, 2025

Phage Phenomics: Physiological Approaches to Characterize Novel Viral Proteins
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Phage Phenomics: Physiological Approaches to Characterize Novel Viral Proteins

Published on: June 11, 2015

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PB-LKS:通过本地K-mer策略预测菌-细菌相互作用的python包.

Jingxuan Qiu1, Wanchun Nie1, Hao Ding2

  • 1School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai, 200093, China.

Briefings in bioinformatics
|February 12, 2024
PubMed
概括

一个新的计算模型,PB-LKS,改善了对菌体-细菌相互作用的预测,推动了菌体治疗的发展. 这个工具准确地预测了细菌菌株突变的关系,提高了治疗设计.

关键词:
生物信息学是一种生物信息学.基因组序列分析分析当地的K-mer战略.机器学习是机器学习.菌细菌的相互作用

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Understanding the Impact of Temperate Bacteriophages on Their Lysogens Through Transcriptomics
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Understanding the Impact of Temperate Bacteriophages on Their Lysogens Through Transcriptomics

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Author Spotlight: An Adapted Optical Density-Based Microplate Assay for Characterizing Actinobacteriophage Infection
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相关实验视频

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Understanding the Impact of Temperate Bacteriophages on Their Lysogens Through Transcriptomics
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Understanding the Impact of Temperate Bacteriophages on Their Lysogens Through Transcriptomics

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Author Spotlight: An Adapted Optical Density-Based Microplate Assay for Characterizing Actinobacteriophage Infection
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科学领域:

  • 微生物学 微生物学
  • 生物信息学是一种生物信息学.
  • 计算生物学 计算生物学

背景情况:

  • 菌体对治疗细菌感染有希望,但由于高遗传多样性,需要精确的模型.
  • 目前的预测模型仅限于物种级准确性,无法预测与细菌菌株突变的相互作用,阻碍了菌体治疗的发展.

研究的目的:

  • 介绍PB-LKS,一种新的计算方法,利用局部k-mer策略来增强菌-细菌相互作用的预测.
  • 开发一种比现有的法菌-细菌关系预测方法具有更广泛的适用性和更高的性能模型.

主要方法:

  • PB-LKS模型采用局部k-mer策略来分析遗传相似性和预测相互作用.
  • 模型验证涉及大规模的历史查,一个类级案例研究,以及在菌株突变水平的细菌抗菌素耐药性的体外模拟.

主要成果:

  • 与当前最先进的方法相比,PB-LKS在预测菌体-细菌相互作用方面表现出更好的表现.
  • 该模型准确地预测了细菌菌株突变的相互作用,解决了以前物种级别方法的局限性.

结论:

  • PB-LKS为预测菌-细菌相互作用提供了更好的准确性和更广泛的适用性.
  • PB-LKS方法在设计优化的菌体治疗策略方面显示出显著的临床实用性潜力.