在CASP1515中使用MULTICOM改善基于AlphaFold2的蛋白质三级结构预测
Jian Liu1, Zhiye Guo1, Tianqi Wu1
1Department of Electrical Engineering and Computer Science, University of Missouri, Columbia, MO, 65211, USA.
Communications chemistry
|September 7, 2023
概括
研究人员通过增强AlphaFold2输入以各种数据和改进模型来改善蛋白质结构预测. 这种新的MULTICOM系统在CASP15实验中获得了最高排名,性能优于标准AlphaFold2.2.
科学领域:
- 计算生物学是一种计算生物学.
- 结构生物信息学 结构生物信息学
- 蛋白质结构预测 蛋白质结构预测
背景情况:
- AlphaFold2是CASP14.4后蛋白质三级结构预测的主要方法.
- 提高AlphaFold2的预测准确性仍然是一个活跃的研究领域.
- 预测蛋白质结构对于理解生物功能和疾病至关重要.
研究的目的:
- 为了增强AlphaFold2的蛋白质结构预测能力.
- 开发一个精细的预测系统,整合各种输入和先进的精细化技术.
- 在一个大规模的,盲目的预测实验 (CASP15) 中评估系统的性能.
主要方法:
- 开发了一个新的MULTICOM系统版本,以生成多种多重序列对齐 (MSA) 和结构模板.
- 改善了AlphaFold2输入质量,用于生成多个结构模型.
- 使用对相似性和AlphaFold2的质量评分来排名模型.
- 使用基于结构对齐的新方法 (Foldseek) 精制排名最高的模型.
- 蛋白质复合体子单元的综合三级和四级结构预测.
主要成果:
- 在CASP15.15中,MULTICOM_refine服务器在47个服务器预测器中排名第三.
- 在CASP15.15中,MULTICOM人类预测器在132个总预测器中排名第7位.
- 在94个CASP15域中,MULTICOM_refine实现了平均GDT-TS和TM分数分别为~0.80和~0.92.
- 这些得分比标准AlphaFold2预测器 (~0.73 GDT-TS,~0.85 TM-score) 显著改善.
结论:
- 增强的MULTICOM系统显著改善了标准AlphaFold2用于蛋白质三级结构预测的性能.
- 集成各种MSA,模板和高级精细化策略是有效的.
- 该系统在CASP15中的强大性能验证了其用于精确的蛋白质结构建模的实用性,包括蛋白质复合体.
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