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相关概念视频

Mutagenicity and Carcinogenicity01:25

Mutagenicity and Carcinogenicity

1.3K
Mutagenicity and carcinogenicity refer to the ability of drugs to cause genetic defects and induce cancer, respectively. The International Agency for Research on Cancer (IARC) classifies agents into four groups based on their carcinogenic potential. Group 1 agents are known human carcinogens; group 2A agents are probably carcinogenic to humans; group 3 agents lack data to support their role in carcinogenesis; and group 4 includes agents for which data support that they are not likely to be...
1.3K
Mismatch Repair01:20

Mismatch Repair

4.9K
Organisms are capable of detecting and fixing nucleotide mismatches that occur during DNA replication. This sophisticated process requires identifying the new strand and replacing the erroneous bases with correct nucleotides. Mismatch repair is coordinated by many proteins in both prokaryotes and eukaryotes.
The Mutator Protein Family Plays a Key Role in DNA Mismatch Repair
The human genome has more than 3 billion base pairs of DNA per cell. Prior to cell division, that vast amount of genetic...
4.9K
In-vitro Mutagenesis01:16

In-vitro Mutagenesis

14.0K
To learn more about the function of a gene, researchers can observe what happens when the gene is inactivated or “knocked out,” by creating genetically engineered knockout animals. Knockout mice have been particularly useful as models for human diseases such as cancer, Parkinson’s disease, and diabetes.
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Spontaneous and Induced Mutations01:30

Spontaneous and Induced Mutations

41
Spontaneous mutations arise infrequently during DNA replication due to errors in the process. A key factor behind these errors is tautomeric shifts in nitrogenous bases, where bases transition from keto to enol forms or amino to imino forms. This shift can alter base-pairing rules, leading to mutations. Additionally, reactive oxygen species (ROS) arising from aerobic metabolism can damage DNA, resulting in depurination (loss of a purine base) or depyrimidination (loss of a pyrimidine base).
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Mutations in Microorganisms01:18

Mutations in Microorganisms

33
Mutations are heritable changes in an organism’s genome involving alterations in the base sequence of DNA or RNA. These changes can influence cellular processes and phenotypic traits, potentially transforming the unaltered wild type into a mutant form. Such changes, termed forward mutations, are pivotal in shaping the genetic diversity of organisms.RNA viruses exhibit the highest mutation rates due to the absence of robust proofreading mechanisms during genome replication. In contrast,...
33
Modern Molecular Taxonomy01:29

Modern Molecular Taxonomy

52
Advancements in molecular biology have revolutionized the identification and characterization of bacteria, with multiple methods leveraging DNA sequencing for enhanced precision. As sequencing technologies improve and costs decline, these approaches are increasingly used in clinical, environmental, and evolutionary studies.Multilocus Sequence Typing (MLST) examines several housekeeping genes, essential chromosomal genes encoding cellular functions, to distinguish strains. Approximately...
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相关实验视频

Updated: Jul 22, 2025

The Lambda Select cII Mutation Detection System
07:08

The Lambda Select cII Mutation Detection System

Published on: April 26, 2018

8.0K

多实例学习改善了Ames对有问题的分子物种的突变性预测.

Samuel V Feeney1, Raymond Lui1, Davy Guan1

  • 1Computational Pharmacology & Toxicology Laboratory, Discipline of Pharmacology, School of Pharmacy, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, 2006, Australia.

Chemical research in toxicology
|July 21, 2023
PubMed
概括

多重实例学习 (MIL) 能够有效地预测艾姆斯的突变性,即使对于需要代谢激活的复杂分子. 这种方法有望改善药物开发和化学安全中的毒理学评估.

科学领域:

  • 毒理学 毒理学 毒理学
  • 计算化学计算化学
  • 药物发现 药物发现 药物发现

背景情况:

  • 艾姆斯突变性预测对于监管和药物毒理学至关重要.
  • 传统的QSAR模型与需要代谢激活的化合物作斗争.
  • 在激活过程中形成的代谢物缺乏个别的致变性标签,阻碍了传统的建模.

研究的目的:

  • 探索多个实例学习 (MIL) 在预测艾姆斯突变性方面的实用性.
  • 开发和评估能够处理代谢活性化合物的MIL模型.
  • 评估MIL在具有挑战性的化学数据集上的表现.

主要方法:

  • 训练有素的MIL模型在Ames变异性数据上,从芳香胺 (n=457) 开始,扩展到更大的数据集 (n=6505).
  • 利用MIL将母分子及其潜在代谢物分组在一个单一的致变性标签下.
  • 将MIL模型的性能与既有预测模型进行比较.

主要成果:

  • MIL模型实现了0.778的平衡精度,与现有方法相比.
  • MIL在之前识别的难以预测的化学组上表现出强大的预测性能.
  • 改进的准确性归因于MIL对代谢激活通路的考虑.

更多相关视频

A Protocol for Functional Assessment of Whole-Protein Saturation Mutagenesis Libraries Utilizing High-Throughput Sequencing
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A Protocol for Functional Assessment of Whole-Protein Saturation Mutagenesis Libraries Utilizing High-Throughput Sequencing

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Mutagenesis and Functional Selection Protocols for Directed Evolution of Proteins in E. coli
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Mutagenesis and Functional Selection Protocols for Directed Evolution of Proteins in E. coli

Published on: March 16, 2011

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相关实验视频

Last Updated: Jul 22, 2025

The Lambda Select cII Mutation Detection System
07:08

The Lambda Select cII Mutation Detection System

Published on: April 26, 2018

8.0K
A Protocol for Functional Assessment of Whole-Protein Saturation Mutagenesis Libraries Utilizing High-Throughput Sequencing
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A Protocol for Functional Assessment of Whole-Protein Saturation Mutagenesis Libraries Utilizing High-Throughput Sequencing

Published on: July 3, 2016

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Mutagenesis and Functional Selection Protocols for Directed Evolution of Proteins in E. coli
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Mutagenesis and Functional Selection Protocols for Directed Evolution of Proteins in E. coli

Published on: March 16, 2011

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结论:

  • MIL为Ames变异性预测提供了一种可行的方法,特别是对于代谢活性化合物.
  • MIL可以补充现有的模型,增强隐性代谢物建模不足的地方的预测.
  • 这项研究强调了MIL在改善对异生菌的毒理风险评估方面的潜力.