ProPr54网络服务器:通过混合卷积和反复的深度神经网络预测 σ54 促销器和 regulon
Tristan Achterberg1, Anne de Jong1
1Department of Molecular Genetics, Groningen, Biomolecular Sciences and Biotechnology Institute, University of Groningen, Nijenborgh 7, 9747 AG Groningen, the Netherlands.
NAR genomics and bioinformatics
|January 9, 2025
概括
ProPr54是一个新的计算工具,可以准确地预测细菌西格玛54 (σ54) 促销器和调节器. 这种方法有助于理解重要的细胞过程,如调节和运动.
科学领域:
- 基因组学和生物信息学
- 分子生物学分子生物学
- 微生物遗传学 微生物遗传学
背景情况:
- 西格玛54 (σ54) 是一种非常规的西格玛因子,对细菌转录启动至关重要.
- 调节参与代谢,运动和化学反应的关键基因.
- 目前用于识别s54促进体和调节体的现有方法是有限的.
研究的目的:
- 开发和验证ProPr54,一种用于预测σ54结合位点的新型计算方法.
- 提供一种可靠的工具,用于在细菌基因组中识别s54依赖的促进子和调节子.
主要方法:
- 使用卷积神经网络 (CNN) 开发ProPr54.
- 在33种细菌物种的446个验证的σ54结合位点上训练CNN.
- 对细菌基因间区域的性能评估和与现有方法的比较.
主要成果:
- ProPr54在预测 σ54 促销器方面表现出强大的性能和高准确性.
- 该方法显著优于其他可用的s54 regulon识别工具.
- 在缺乏实验验证的细菌基因组上,ProPr54显示出强大的概括能力.
结论:
- ProPr54是第一个可靠的化工具,用于预测 σ54 促进体和 regulon 基因.
- 这种方法可以作为一个有价值的资源,对实验研究的σ54依赖基因调节.
- 在http://propr54.molgenrug.nl.提供免费访问的Web服务器.
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