TM搜索:一种高效和有效的工具,用于蛋白质结构数据库搜索搜索.
Zi Liu1,2, Chengxin Zhang3, Qidi Zhang2
1School of Computer Science and Engineering, Nanjing University of Science and Technology, 200 Xiaolingwei, Nanjing 210094, China.
Journal of chemical information and modeling
|January 25, 2024
概括
一个新的蛋白质结构搜索工具,TM-search,为快速搜索大型蛋白质数据库提供了一个可扩展的解决方案. 它显著加快了结构对齐的速度,同时在识别顶部蛋白质结构中保持了很高的准确性.
科学领域:
- 结构生物学 结构生物学
- 生物信息学是一种生物信息学.
- 计算生物学 计算生物学
背景情况:
- 蛋白质数据库正在迅速扩大,需要可扩展的工具来有效地搜索蛋白质结构数据库.
- 现有的蛋白质结构对齐工具通常需要大量的计算资源和时间.
研究的目的:
- 开发一种新的,可扩展的蛋白质结构搜索方法,用于快速搜索数据库.
- 为了提高当前蛋白质结构调整程序的速度和效率.
主要方法:
- 介绍TM搜索,一种新的蛋白质结构搜索方法.
- 利用双向结构对齐程序TM-align和一个新的代聚类算法.
- 与Foldseek,Dali和PSI-BLAST等现有工具进行基准测试.
主要成果:
- 与完整的TM调整数据库搜索相比,TM搜索的速度增加了27倍.
- 该方法成功识别了大约90%的高TM分数的成功.
- 在识别最受欢迎的项目方面,TM-search 在Foldseek,Dali和PSI-BLAST等现有程序的表现上优于2-10倍.
结论:
- TM-search为蛋白质结构数据库搜索提供了一种显著更快,更可扩展的解决方案.
- 开发的方法在识别相关的蛋白质结构对齐时保持高灵敏度.
- 该工具解决了管理和搜索大规模结构生物学数据日益增长的挑战.
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