对多链蛋白质复合体的AlphaFold-Multimer预测的评估
Wensi Zhu1, Aditi Shenoy1, Petras Kundrotas1,2
1Science for Life Laboratory and Department of Biochemistry and Biophysics, Stockholm University, Solna 171 21, Sweden.
Bioinformatics (Oxford, England)
|July 5, 2023
概括
AlphaFold-Multimer对蛋白质复合体预测有希望,但需要改进评估指标. 开发了一个新的评分,pDockQ2,以更好地评估多重复合物的质量.
科学领域:
- 计算生物学是一种计算生物学.
- 结构生物学是结构生物学.
- 生物信息学是一种生物信息学.
背景情况:
- 可以准确预测单个蛋白质结构.
- 像AlphaFold-Multimer和FoldDock这样的当前方法擅长模拟蛋白质二元体.
- 这些工具在更大,多链蛋白质复合体上的性能及其评估仍然具有挑战性.
研究的目的:
- 评估AlphaFold-Multimer在各种蛋白质复合体上的性能.
- 调查多元结构现有评估指标中的差异.
- 引入一种用于评估蛋白质复合体质量的新型评分指标.
主要方法:
- 对同型和异型蛋白质复合物的同质减少数据集的AlphaFold-Multimer性能的分析.
- 双向和多界面评估指标的比较 (例如TM-score,DockQ).
- 开发和提出一个新的评分指标,预测DockQ版本2 (pDockQ2).
- 从CORUM数据库中对蛋白质复合体进行建模.
主要成果:
- 在不同的评估指标上,AlphaFold-Multimer的性能有所不同,一些复合体在一个指标上得分很高,但在另一个指标上得分很差.
- 这项研究突出了复合体内的蛋白质链对对和多接口评估之间的差异.
- 确定了两个高度自信的蛋白质复合结构,与现有结构没有序列同质性.
- 新的pDockQ2评分旨在提供一个更可靠的估计多元器件的接口质量.
结论:
- 现有的蛋白质复合体评估方法可能无法完全捕捉预测的质量.
- 拟议的pDockQ2指标提供了对多重复合质的潜在更准确的评估.
- 进一步开发和验证计算工具和评估指标对于推进大复合物的蛋白质结构预测至关重要.
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