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相关概念视频

Genetic Screens02:46

Genetic Screens

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Genetic screens are tools used to identify genes and mutations responsible for phenotypes of interest. Genetic screens help identify individuals or a group of people at risk of developing  genetic diseases and help them with early intervention, targeted therapy, and reproductive options.
Forward genetic screens
Forward or “classical” genetic screens involve creating random mutations in an organism’s DNA using radiation, mutagens, or insertion of additional bases, which...
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What is Genetic Engineering?00:49

What is Genetic Engineering?

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Overview
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Human Genetics01:28

Human Genetics

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Human genetics provides a profound framework for understanding the interplay between genetic predispositions and human psychology. At the heart of this discipline lies the study of how genes influence physical traits, behaviors, and susceptibility to diseases. Each person carries a unique genetic code that subtly or significantly shapes their psychological and behavioral landscape.
The complex relationship between genetics and psychology is observable through common biological components such...
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Mutagenicity and Carcinogenicity01:25

Mutagenicity and Carcinogenicity

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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...
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Overview of DNA Repair02:25

Overview of DNA Repair

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In order to be passed through generations, genomic DNA must be undamaged and error-free. However, every day, DNA in a cell undergoes several thousand to a million damaging events by natural causes and external factors. Ionizing radiation such as UV rays, free radicals produced during cellular respiration, and hydrolytic damage from metabolic reactions can alter the structure of DNA. Damages caused include single-base alteration, base dimerization, chain breaks, and cross-linkage.
Chemically...
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In-vitro Mutagenesis01:16

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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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Updated: Jan 10, 2026

Implementation of In Vitro Drug Resistance Assays: Maximizing the Potential for Uncovering Clinically Relevant Resistance Mechanisms
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基于人工智能和机器学习的方法来预测遗传损害.

Abhishek Tripathi1, Alisha1, Riya1

  • 1Department of Computational Biology, Indraprastha Institute of Information Technology, New Delhi, India.

Methods in molecular biology (Clifton, N.J.)
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PubMed
概括
此摘要是机器生成的。

遗传毒理学研究了病原体对遗传的有害影响. 人工智能 (AI) 和机器学习 (ML) 模型越来越多地用于预测基因毒性损害和评估药物开发风险.

关键词:
艾姆斯试验的测试人工智能的人工智能是人工智能.深度学习是一种深度学习.遗传损伤是一种遗传损伤.基因毒性药物 基因毒性药物基因毒性预测的预测机器学习是机器学习.在QSAR中使用QSAR.

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科学领域:

  • 药理学和毒理学 药理学和毒理学
  • 计算化学的计算化学
  • 遗传学 遗传学 是一个

背景情况:

  • 遗传毒理学研究了物理和化学物质如何影响遗传物质.
  • 基因毒性事件,如染色体异常,可能导致药物不良反应,变异性和致癌性.
  • 一些用于治疗目的的药物已被发现可诱导基因毒性.

研究的目的:

  • 为了分类用于量化基因毒性损害的测试,如艾姆斯测试.
  • 详细阐述人工智能 (AI) 和机器学习 (ML) 预测遗传损伤的方法.
  • 提供基因毒性预测工具,模型和评估指标的概述.

主要方法:

  • 基因毒性试验的分类 (例如,艾姆斯试验).
  • 对用于基因毒性预测的AI/ML模型的审查,包括定量结构-活动关系 (QSAR),机器学习 (ML) 和深度学习 (DL).
  • 用各种分子描述符和指纹 (拓,静电,量子) 来进行预测建模.

主要成果:

  • 人工智能模型,包括QSAR,ML和DL,在预测基因毒性损伤方面是有效的.
  • 在基因毒性预测研究中使用各种分子描述符和指纹.
  • 一个全面的模型和研究的数据表专注于基因毒性预测是可用的.

结论:

  • 人工智能模型为评估基因毒性提供了一个有希望的方法.
  • 对基因毒性风险的准确预测对于安全的药物开发至关重要.
  • 计算方法的进步提高了对潜在的基因毒性剂的评估.