鱼使进化同类和功能类型在不可分离和无序序列中的敏感检测成为可能
Chi Fung Willis Chow1,2,3, Soumyadeep Ghosh1,2, Anna Hadarovich1,2
1Max Planck Institute of Molecular Cell Biology and Genetics, Dresden 01307, Germany.
概括
我们开发了SHARK-dive,这是一种无对齐的工具,用于识别内在无序区域 (IDR) 的同质性. 这种方法准确地检测出功能上相似的IDR,克服了快速进化序列的传统对齐式方法的局限性.
科学领域:
- 计算生物学 计算生物学
- 生物信息学是一种生物信息学.
- 蛋白质科学 蛋白质科学
背景情况:
- 内在无序区域 (IDR) 对于蛋白质的调节和功能至关重要,包括生物分子凝聚剂组合.
- IDRs发展迅速,对传统的基于对齐的同质检测方法构成挑战.
- 对IDRs的有限系统分析阻碍了对它们的进化作用的理解,尽管它们包含约21%的蛋白质.
研究的目的:
- 开发一种用于评估不可分离蛋白序列之间的同质性的新方法,特别针对IDRs.
- 为了能够准确的功能注释和快速发展的IDRs的进化分析.
- 为基于对齐的序列比较提供一种可解释和实验验证的替代方案.
主要方法:
- 开发SHARK (通过关联K-mers进行相似性/同质性评估),一种无对齐序列比较算法.
- 训练SHARK-dive,一个基于SHARK算法的机器学习分类器.
- 使用已知的IDR替换实验,对比标准对齐方法对SHARK-dive的性能进行评估.
主要成果:
- 与基于对齐的方法相比,SHARK-dive在评估不可分离的序列的进化同质性方面表现出卓越的表现.
- 该工具在试验数据集中成功识别了功能上相似的,但不相似的IDR,而对齐方法失败了.
- 鱼潜水揭示了加密的序列属性,驱动IDR中的远程同源性和功能类比.
结论:
- SHARK-dive提供了一个强大的,无对齐的替代方案,用于系统分析和IDR的功能注释.
- 该方法促进了功能上相似的IDR的蛋白质组范围的预测,并揭示了新的序列功能关系.
- 鱼潜水提高了我们研究广,不可分割的蛋白质宇宙的进化和功能的能力.
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