pLM-BLAST:基于从蛋白质语言模型中直接比较序列表示的远程同质检测
Kamil Kaminski1,2, Jan Ludwiczak1, Kamil Pawlicki1
1Institute of Evolutionary Biology, Faculty of Biology, Biological and Chemical Research Centre, University of Warsaw, Warsaw 02-089, Poland.
Bioinformatics (Oxford, England)
|September 19, 2023
概括
我们介绍了pLM-BLAST,这是一个使用蛋白质语言模型检测远距离蛋白质同质性的新工具. 这种方法比现有的工具更快,更准确,有助于蛋白质功能和进化研究.
科学领域:
- 生物信息学是一种生物信息学.
- 计算生物学 计算生物学
- 结构生物学 结构生物学
背景情况:
- 蛋白质序列比较对于理解蛋白质的功能和演变至关重要.
- 现有的同质性检测方法可能是计算密集的,可能会错过与之远距离相关的蛋白质.
研究的目的:
- 探索使用蛋白质语言模型来检测遥远的蛋白质同质性.
- 推出pLM-BLAST,这是一个新工具,旨在有效和准确地检测同质性.
主要方法:
- 开发了pLM-BLAST,该工具利用蛋白质语言模型嵌入 (ProtT5) 来进行序列比较.
- 基准pLM-BLAST与HHsearch等既有工具相比,使用具有不同序列身份的数据集.
- 评估了pLM-BLAST计算局部对齐的能力.
主要成果:
- 对于高度相似的 (>50%的同一性) 和分离的 (<30%的同一性) 序列,pLM-BLAST的准确性与HHsearch的准确性相当.
- 在速度方面,pLM-BLAST显著优于现有方法.
- 该工具的局部对齐能力有效地连接高度分离的蛋白质,表明了新的同类关系.
结论:
- pLM-BLAST提供了一种更快,更准确的替代方法来检测远程蛋白质同质性.
- 该工具有可能改善蛋白质注释,并揭示新的进化关系.
- pLM-BLAST可以作为一个Web服务器和一个独立的工具.
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