3DVizSNP:用于快速可视化在iCn3D中的高吞吐量实验中发现的误解突变的工具
Michael Sierk1, Shashikala Ratnayake2, Manoj M Wagle3,4,5
1Computational Genomics and Bioinformatics Branch, Center for Biomedical Informatics and Information Technology, National Cancer Institute, NIH, Rockville, MD, 20852, USA. michael.sierk@nih.gov.
BMC bioinformatics
|June 9, 2023
概括
3DVizSNP使用3D结构可视化非同义突变,帮助研究人员优先考虑癌症研究的遗传变异. 该工具通过整合结构数据来加强对突变影响的评估,改善变异解释.
科学领域:
- 基因组研究是基因组研究.
- 生物信息学是一种生物信息学.
- 结构生物学是结构生物学.
背景情况:
- 基因组研究产生了许多序列变异,需要进行表型影响评估.
- 现有的工具主要基于单个序列分析单核酸多态 (SNP).
- 了解3D结构背景对于评估非同义突变效应至关重要.
研究的目的:
- 介绍3DVizSNP,一个用于快速可视化非同义错误突变的程序.
- 以使用3D结构信息来评估突变影响.
- 为了促进对突变的优先级进行进一步分析.
主要方法:
- 3DVizSNP使用基于Web的iCn3D可视化平台.
- 该程序利用Python,REST API,可以在本地或通过Web服务器运行.
- 它自动检索实验或预测的蛋白质结构 (AlphaFold) 以用于变体环境.
主要成果:
- 3DVizSNP可以根据其当地的结构环境快速选SNP.
- 该工具可视化突变,并评估结构联系的变化.
- 它可以与iCn3D集成,用于高级结构分析.
结论:
- 3DVizSNP使研究人员能够有效地使用3D结构数据来确定突变优先级.
- 该工具支持计算和实验性影响评估.
- 可以作为Web服务器和独立的Python程序访问.
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