多个序列对齐在分子结构和功能预测中的历史演变和意义
Chenyue Zhang1, Qinxin Wang2, Yiyang Li1
1NITFID, School of Statistics and Data Science, LPMC and KLMDASR, Nankai University, Tianjin 300071, China.
Biomolecules
|January 8, 2025
概括
多重序列对齐 (MSA) 对于预测分子结构和功能至关重要,特别是随着人工智能的进步. 这篇评论详细介绍了MSA的细节.
科学领域:
- 生物信息学是一种生物信息学.
- 计算生物学 计算生物学
- 结构生物学 结构生物学
背景情况:
- 多重序列对齐 (MSA) 是生物科学的基石技术.
- 它对于预测蛋白质和核酸的分子结构和功能至关重要.
- 对于生物学中的人工智能 (AI) 应用,MSA越来越重要.
研究的目的:
- 审查MSA在分子结构和功能预测中的历史演变和意义.
- 探索传统和新兴的基于人工智能的MSA方法.
- 提供关于MSA在结构预测研究中不断变化的作用的见解.
主要方法:
- 对蛋白质单体,复合物和RNA的传统MSA方法的审查.
- 探索基于人工智能的替代方案,包括蛋白质语言模型.
- 分析各种MSA方法的优点,局限性和应用.
主要成果:
- 对于传统的序列比较和人工智能驱动的结构预测,MSA都是基本的.
- 人工智能方法为传统的MSA提供了补充或替代方法.
- 准确和高效的MSA对于人工智能模型中远程同质检测和空间限制至关重要.
结论:
- 对于分子结构和功能预测,MSA仍然是不可或缺的.
- 人工智能的整合正在改变MSA应用程序和方法.
- 研究人员需要了解MSA工具的不断变化的格局,以便明智地做出决策.
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