T9GPred:一种全面的计算工具,用于预测9型分泌系统,滑动性和相关的分泌蛋白质
Ajaya Kumar Sahoo1,2, R P Vivek-Ananth1,2, Nikhil Chivukula1,2
1The Institute of Mathematical Sciences (IMSc), Chennai 600113, India.
ACS omega
|September 25, 2023
概括
一个新的工具,第9型分泌系统和滑动性预测 (T9GPred),准确地预测T9SS,滑动性和Bacteroidetes细菌分泌的蛋白质. 这种计算资源有助于理解细菌系统和未来的研究.
科学领域:
- 微生物学 微生物学
- 计算生物学 计算生物学
- 细菌分泌系统 细菌分泌系统
背景情况:
- 9型分泌系统 (T9SS) 是细菌体中独特且未被充分研究的系统,对细菌的运动性,生存和致病性至关重要.
- 现有的研究强调了T9SS的重要性,但缺乏统一的计算工具来预测和分析它.
研究的目的:
- 开发一个计算工具,T9GPred,用于预测T9SS,滑动性和Bacteroidetes中T9SS分泌的蛋白质.
- 为了提供系统层面的理解T9SS和相关功能在广泛的细菌菌株的细菌菌株.
主要方法:
- 手动整理实验数据以识别T9SS和滑翔机动性的组成部分.
- 对独特的C端域信号进行分析,以预测T9SS分泌的蛋白质.
- 使用已发表的证据开发和验证T9GPred计算工具.
主要成果:
- T9GPred对T9SS,滑动性和分泌蛋白质表现出高的预测能力.
- 该工具预测了693个测序的Bacteroidetes菌株中的402个菌株中T9SS的存在.
- 其中,327个菌株也被预测表现出滑动性,并确定了假定分泌的蛋白质.
结论:
- T9GPred是一个新的和有价值的计算资源,用于系统级预测T9SS和与之相关的功能在Bacteroidetes.
- 该工具简化了未来对T9SS及其在细菌生物学中的作用的实验调查.
- T9GPred工具及其预测结果可以通过Web服务器和GitHub存储库公开访问.
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