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US-align:蛋白质、核酸和大分子复合物的通用结构比对。

US-align: universal structure alignments of proteins, nucleic acids, and macromolecular complexes.

机构信息

Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA.

Department of Molecular, Cellular, and Developmental Biology, Yale University, New Haven, CT, USA.

出版信息

Nat Methods. 2022 Sep;19(9):1109-1115. doi: 10.1038/s41592-022-01585-1. Epub 2022 Aug 29.

Abstract

Structure comparison and alignment are of fundamental importance in structural biology studies. We developed the first universal platform, US-align, to uniformly align monomer and complex structures of different macromolecules-proteins, RNAs and DNAs. The pipeline is built on a uniform TM-score objective function coupled with a heuristic alignment searching algorithm. Large-scale benchmarks demonstrated consistent advantages of US-align over state-of-the-art methods in pairwise and multiple structure alignments of different molecules. Detailed analyses showed that the main advantage of US-align lies in the extensive optimization of the unified objective function powered by efficient heuristic search iterations, which substantially improve the accuracy and speed of the structural alignment process. Meanwhile, the universal protocol fusing different molecular and structural types helps facilitate the heterogeneous oligomer structure comparison and template-based protein-protein and protein-RNA/DNA docking.

摘要

结构比较和比对在结构生物学研究中具有重要意义。我们开发了第一个通用平台 US-align,用于统一比对不同生物大分子(蛋白质、RNA 和 DNA)的单体和复合物结构。该流水线建立在统一的 TM 评分目标函数上,并结合了启发式对齐搜索算法。大规模基准测试表明,在不同分子的成对和多个结构比对方面,US-align 始终优于最先进的方法。详细分析表明,US-align 的主要优势在于通过有效的启发式搜索迭代对统一目标函数进行广泛优化,这大大提高了结构比对过程的准确性和速度。同时,融合不同分子和结构类型的通用协议有助于促进异质寡聚体结构比较以及基于模板的蛋白-蛋白和蛋白-RNA/DNA 对接。

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