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相关概念视频

The Evidence for Evolution02:55

The Evidence for Evolution

48.0K
Genetic variations accumulating within populations over generations give rise to biological evolution. Evolutionary changes can result in the formation of novel varieties and entire new species. These changes are responsible for the diverse forms of life inhabiting the planet. The evidence for evolution suggests that all living organisms descended from common ancestors.
48.0K
Convergent Evolution01:54

Convergent Evolution

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Evolution shapes the features of organisms over time, ensuring that they are suited for the environments in which they live. Sometimes, selection pressure leads to the rise of similar but unrelated adaptations in organisms with no recent common ancestors, a process known as convergent evolution.
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Eukaryotic Evolution01:24

Eukaryotic Evolution

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The endosymbiont theory is the most widely accepted theory of eukaryotic evolution; however, its progression is still somewhat debated. According to the nucleus-first hypothesis, the ancestral prokaryote first evolved a membrane to enclose DNA and form the nucleus. Conversely, the mitochondria-first hypothesis suggests that the nucleus was formed after endosymbiosis of mitochondria.
Contrary to the endosymbiont theory, the eukaryote-first hypothesis proposes that the simpler prokaryotic and...
40.8K
Synteny and Evolution02:31

Synteny and Evolution

3.8K
John H. Renwick first coined the term “synteny” in 1971, which refers to the genes present on the same chromosomes, even if they are not genetically linked. The species with common ancestry tend to show conserved syntenic regions. Therefore, the concept of synteny is nowadays used to describe the evolutionary relationship between species.
Around 80 million years ago, the human and mice lineages diverged from the common ancestor. During the course of evolution, the ancestral...
3.8K
Genome Size and the Evolution of New Genes03:21

Genome Size and the Evolution of New Genes

9.1K
While every living organism has a genome of some kind (be it RNA, or DNA), there is considerable variation in the sizes of these blueprints. One major factor that impacts genome size is whether the organism is prokaryotic or eukaryotic. In prokaryotes, the genome contains little to no non-coding sequence, such that genes are tightly clustered in groups or operons sequentially along the chromosome. Conversely, the genes in eukaryotes are punctuated by long stretches of non-coding sequence.
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Resistivity01:22

Resistivity

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When a voltage is applied to a conductor, an electrical field is generated, and charges in the conductor feel the force due to the electrical field. The current density that results depends on the electrical field and the properties of the material. In some materials, including metals at a given temperature, the current density is approximately proportional to the electrical field. In these cases, the current density can be modeled as:
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相关实验视频

Updated: Jan 29, 2026

Rapid Screening of HIV Reverse Transcriptase and Integrase Inhibitors
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Rapid Screening of HIV Reverse Transcriptase and Integrase Inhibitors

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预测耐药性艾滋病毒蛋白酶的演变.

Manu Aggarwal1, Vipul Periwal1

  • 1National Institutes of Health, Bethesda, Maryland, United States of America.

PLoS computational biology
|January 27, 2026
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概括
此摘要是机器生成的。

预测人类免疫缺陷病毒蛋白酶中的耐药性至关重要. 一个新的框架预测病毒的进化,并识别出对蛋白酶抑制剂耐药性至关重要的突变,指导有效的治疗策略.

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An Affordable HIV-1 Drug Resistance Monitoring Method for Resource Limited Settings
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An Affordable HIV-1 Drug Resistance Monitoring Method for Resource Limited Settings

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Amplifying and Quantifying HIV-1 RNA in HIV Infected Individuals with Viral Loads Below the Limit of Detection by Standard Clinical Assays
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相关实验视频

Last Updated: Jan 29, 2026

Rapid Screening of HIV Reverse Transcriptase and Integrase Inhibitors
05:46

Rapid Screening of HIV Reverse Transcriptase and Integrase Inhibitors

Published on: April 9, 2014

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An Affordable HIV-1 Drug Resistance Monitoring Method for Resource Limited Settings
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Amplifying and Quantifying HIV-1 RNA in HIV Infected Individuals with Viral Loads Below the Limit of Detection by Standard Clinical Assays
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科学领域:

  • 病毒学 病毒学
  • 计算生物学 计算生物学
  • 药物发现 药物发现 药物发现

背景情况:

  • 蛋白酶抑制剂 (PI) 对艾滋病毒治疗至关重要,但由于耐药菌株而面临挑战.
  • 了解病毒进化和预测耐药性对于设计有效的治疗策略至关重要.

研究的目的:

  • 开发一个计算框架,用于预测HIV蛋白酶进化的耐药性.
  • 识别与耐药性相关的关键突变和治疗方案.

主要方法:

  • 从蛋白酶基因型和治疗方案中训练有素的概率模型对共同进化的信息进行训练.
  • 使用临床数据推导突变过渡概率和耐药性水平.
  • 模拟进化轨迹,预测耐药基因型的出现.

主要成果:

  • 确定阿塔萨纳维尔 (ATV) 和里托纳维尔 (RTV) 双重治疗最不可能诱导耐药性.
  • 预测了七点突变,对发展耐药性至关重要.
  • 突出了L63P多态性在内尔菲纳维尔 (NFV) 耐药性的重要性.

结论:

  • 开发的框架有效地整合了基因型和耐药性数据,以预测病毒演变.
  • 这项研究提供了对优化艾滋病毒治疗方案和缓解耐药性的见解.
  • 该方法解决了稀疏序列数据和复杂的进化动态所带来的挑战.