局部无序区域采样 (LDRS) 用于对具有实验未确定或低可信度预测段的蛋白质进行整体建模
Zi Hao Liu1,2, João M C Teixeira1, Oufan Zhang3,4
1Molecular Medicine Program, Hospital for Sick Children, Toronto, ON M5G 0A4, Canada.
Bioinformatics (Oxford, England)
|December 7, 2023
概括
新的局部无序区域采样 (LDRS) 工具模拟了缺失的蛋白质区域,为内在无序蛋白质 (IDP) 生成完整的结构,并增强了结构生物学研究.
科学领域:
- 结构生物学 结构生物学
- 计算生物学 计算生物学
- 生物物理学的生物物理.
背景情况:
- 内在无序的蛋白质 (IDP) 和它们的区域在结构确定方面存在挑战,因为它们具有灵活性.
- 缺失的坐标或对实验或预测的蛋白质结构的低置信区域阻碍了全面的分析.
- 灵活的元素如端子,循环和链接器对于蛋白质功能至关重要,但很难建模.
研究的目的:
- 介绍本地无序区域采样 (LDRS) 工具,这是IDPConformerGenerator平台的一个新型模块.
- 能够为缺失的内在无序的蛋白质区域生成全原子形态合集.
- 提供一种方法来从模板中完成全长蛋白质结构,其中缺少或低置信区域.
主要方法:
- LDRS模块使用先前存在的蛋白质结构模板 (PDB或mmCIF) 和全长主序列.
- 它为无序区域生成具有物理意义的构造集,包括终点,循环和链接器.
- 先进的功能包括建模酸化位点,跨膜蛋白和多链复合体.
主要成果:
- LDRS成功地为内在无序的蛋白质区域生成了完整的,全原子的结构合集.
- 该工具与IDPConformerGenerator无集成,提供模块化和计算速度.
- LDRS支持高级建模场景,如酸化,跨膜蛋白和复合体.
结论:
- 该LDRS工具有效地解决了在蛋白质结构中模拟缺失的无序区域的挑战.
- 它增强了IDPConformerGenerator的功能,为结构生物学提供了多功能解决方案.
- 通过模拟灵活的元素,LDRS促进了对蛋白质结构和功能的更全面的理解.
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