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Updated: Feb 12, 2026

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RECUR:从多个序列对齐中确定反复发生的氨基酸替代.
Elizabeth H J Robbins1, Yi Liu1, Steven Kelly1
1Department of Biology, University of Oxford, South Parks Road, Oxford, OX1 3RB, United Kingdom.
Molecular biology and evolution
|February 11, 2026
概括
RECUR识别了生物序列中经常发生的氨基酸替代,这对于理解进化和疾病至关重要. 这种方法可以准确地检测SARS-CoV-2尖端蛋白的广泛复发性进化,特别是在HACE2接口.
科学领域:
- 进化生物学是进化的生物学.
- 基因组学就是基因组学.
- 结构生物学是结构生物学.
背景情况:
- 生物序列的反复演化变化对于理解表型,抗生素耐药性和疾病至关重要.
- 识别这些反复发生的替代物有助于确定引起的遗传改变.
研究的目的:
- 引入RECUR,一种用于检测大型多重序列对齐中的反复氨基酸替代的新计算方法.
- 通过模拟和真实世界的生物数据来评估RECUR的准确性和稳定性.
主要方法:
- 开发RECUR,这是一个快速,用户友好和可扩展的算法,用于识别反复发生的氨基酸替代.
- 验证RECUR对模拟数据的准确性 (100%) 以及其对树推理错误的稳定性.
- 使用RECUR分析来自SARS-CoV-2的表面糖蛋白 (S) 蛋白序列.
主要成果:
- 在模拟的进化历史中,RECUR在检测反复的替代中实现了100%的准确性.
- 在SARS-CoV-2的S蛋白中发现了广泛的复发性进化,在S1亚单元和HACE2结合接口中进行了丰富.
- 在S蛋白三聚体接口中,反复的替代物被耗尽,在haCE2接口上具有可变的稳定性效应.
结论:
- RECUR是一种非常准确和强大的工具,用于识别生物序列中反复发生的进化事件.
- SARS-CoV-2 S 蛋白的反复演变,特别是在 hACE2 接口,表明受体结合和免疫逃避之间的平衡.
- 这些发现凸显了RECUR在研究病毒进化和适应方面的实用性.
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