用AlphaFold模型弥合蛋白质的序列和结构分类之间的差距
Jimin Pei1, Antonina Andreeva2, Sara Chuguransky2
1Eugene McDermott Center for Human Growth and Development, University of Texas Southwestern Medical Center, Dallas, TX, USA; Department of Biophysics, University of Texas Southwestern Medical Center, Dallas, TX, USA; Harold C. Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Journal of molecular biology
|August 28, 2024
概括
本研究使用AlphaFold预测和DPAM工具对蛋白质域进行分类,将基于序列的Pfam家族与基于结构的ECOD分类联系起来. 它揭示了新的域家族和进化关系,增强了我们对蛋白质宇宙的理解.
科学领域:
- 结构生物信息学 结构生物信息学
- 计算生物学是一种计算生物学.
- 蛋白质域的分类 蛋白质域的分类
背景情况:
- 蛋白质域分类对于理解蛋白质功能至关重要.
- AlphaFold显著提升了蛋白质结构预测,增加了数据的可用性.
- Pfam 和 ECOD 是已建立的蛋白质域分类数据库.
研究的目的:
- 通过使用AlphaFold预测结构,将大约9000个Pfam家族分类到域的进化分类 (ECOD) 层次结构中.
- 通过整合基于序列 (Pfam) 和基于结构 (ECOD) 的分类来研究同源关系和域边界.
- 通过对未分配域的分析来识别潜在的新型蛋白质域家族和超级家族.
主要方法:
- 利用来自AlphaFold的预测蛋白质结构.
- 使用AlphaFold模型的域解析器 (DPAM) 工具进行域解析和分类.
- 将Pfam域名家族与ECOD层次结构进行比较和整合.
- 分析了分配和未分配域的序列和结构特征.
主要成果:
- 超过一半的分析的Pfam家族使用DPAM和AlphaFold模型被自信地分配给ECOD.
- 分配的域主要属于众所周知的折叠,如免疫球蛋白样 (IgL), (ARM),螺旋转螺旋 (HTH) 和Src同质性3 (SH3).
- 很大一部分DPAM域仍然没有被分配到ECOD,它们表现出明显的特征,例如更短的长度和更多的跨膜段,这表明了新的家族或超级家族.
结论:
- 将AlphaFold结构预测与DPAM集成,有助于稳健的蛋白质域分类,将Pfam和ECOD结合起来.
- 未分配的域代表了发现新型蛋白质折叠和进化关系的丰富来源.
- 这项工作通过提供对以前未被描述的蛋白质的结构和功能洞察力,提高了对蛋白质宇宙的全面理解.
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