Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Mutagenicity and Carcinogenicity01:25

Mutagenicity and Carcinogenicity

1.4K
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...
1.4K
In-vitro Mutagenesis01:16

In-vitro Mutagenesis

14.2K
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.
14.2K
Mismatch Repair01:20

Mismatch Repair

5.2K
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...
5.2K
Spontaneous and Induced Mutations01:30

Spontaneous and Induced Mutations

164
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).
164

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Evaluation of QSAR models for predicting mutagenicity: outcome of the Second Ames/QSAR international challenge project.

SAR and QSAR in environmental research·2023
Same author

Multiple Instance Learning Improves Ames Mutagenicity Prediction for Problematic Molecular Species.

Chemical research in toxicology·2023
Same author

Mechanistic Task Groupings Enhance Multitask Deep Learning of Strain-Specific Ames Mutagenicity.

Chemical research in toxicology·2023
Same author

An Open Drug Discovery Competition: Experimental Validation of Predictive Models in a Series of Novel Antimalarials.

Journal of medicinal chemistry·2021
Same author

LogP prediction performance with the SMD solvation model and the M06 density functional family for SAMPL6 blind prediction challenge molecules.

Journal of computer-aided molecular design·2020
Same author

A comparison of molecular representations for lipophilicity quantitative structure-property relationships with results from the SAMPL6 logP Prediction Challenge.

Journal of computer-aided molecular design·2020

相关实验视频

Updated: Sep 18, 2025

Author Spotlight: Impact of Intergenic Interactions on Disease-Identifying Dark Biomarkers
03:37

Author Spotlight: Impact of Intergenic Interactions on Disease-Identifying Dark Biomarkers

Published on: March 1, 2024

915

艾姆斯前:使用图形变压器进行最先进的突变性预测.

Luke A Thompson1, Josiah G Evans1, Slade T Matthews1

  • 1Sydney Pharmacy School, The University of Sydney, Sydney 2006, Australia.

Chemical research in toxicology
|June 26, 2025
PubMed
概括

新的图形变压器模型AmesFormer在使用Ames测试预测化学变异性方面取得了最先进的性能. 这种可访问的开源工具增强了药物开发的化学安全评估.

科学领域:

  • 计算毒理学计算毒理学
  • 机器学习在药物发现中的作用

背景情况:

  • 艾姆斯突变性测试对于化学安全评估至关重要.
  • 目前的in silico模型经常使用复杂的组合和分子指纹,忽视整体分子结构.

研究的目的:

  • 介绍AmesFormer,一个新的图形转换器神经网络用于Ames变异性预测.
  • 为了展示AmesFormer的最新性能和可访问性,用于监管和药物开发应用.

主要方法:

  • 开发AmesFormer,一个图形转换器神经网络.
  • 创建一个新的Ames数据集,用于模型培训和验证.
  • 在标准化数据集上对比AmesFormer与其他22个Ames模型.
  • 使用温度缩放对模型校准性能进行评估.

主要成果:

  • 在Ames的突变性预测中,AmesFormer取得了最先进的 (SOTA) 性能.
  • 该模型在与新的Ames数据集配对时表现出高性能.
  • 校准性能通过使用温度缩放进行评估和改进.

结论:

  • 艾姆斯Former提供了一个高性能,可访问和开源的计算模型,用于艾姆斯变异性.

更多相关视频

Implementation of In Vitro Drug Resistance Assays: Maximizing the Potential for Uncovering Clinically Relevant Resistance Mechanisms
08:46

Implementation of In Vitro Drug Resistance Assays: Maximizing the Potential for Uncovering Clinically Relevant Resistance Mechanisms

Published on: December 9, 2015

10.7K
Transgenic Rodent Assay for Quantifying Male Germ Cell Mutant Frequency
14:45

Transgenic Rodent Assay for Quantifying Male Germ Cell Mutant Frequency

Published on: August 6, 2014

16.4K

相关实验视频

Last Updated: Sep 18, 2025

Author Spotlight: Impact of Intergenic Interactions on Disease-Identifying Dark Biomarkers
03:37

Author Spotlight: Impact of Intergenic Interactions on Disease-Identifying Dark Biomarkers

Published on: March 1, 2024

915
Implementation of In Vitro Drug Resistance Assays: Maximizing the Potential for Uncovering Clinically Relevant Resistance Mechanisms
08:46

Implementation of In Vitro Drug Resistance Assays: Maximizing the Potential for Uncovering Clinically Relevant Resistance Mechanisms

Published on: December 9, 2015

10.7K
Transgenic Rodent Assay for Quantifying Male Germ Cell Mutant Frequency
14:45

Transgenic Rodent Assay for Quantifying Male Germ Cell Mutant Frequency

Published on: August 6, 2014

16.4K
  • 该模型具有显著的潜力,可以帮助监管决策和加速药物开发过程.