基于结构的蛋白质相关性数据集及其非冗余基准:在计算类学中的潜在应用
Shaozhou Wang1, Haiyang Ye1, Shuyong Shang2
1Center for Informational Biology, School of Life Science and Technology, University of Electronic Science and Technology of China (UESTC), Chengdu 611731, China.
Current medicinal chemistry
|October 26, 2023
概括
我们创建了一个数据集,将蛋白质-相互作用 (PPI) 结构与结合亲和关系联系起来. 该资源通过提供高分辨率的结构和亲和数据来帮助计算学,为100多种不同的PPI提供数据.
科学领域:
- 生物化学 生物化学
- 结构生物学 结构生物学
- 计算生物学 计算生物学
背景情况:
- 蛋白质-相互作用 (PPI) 对细胞功能和治疗发展至关重要.
- 了解PPI中的结构-亲和关系对于计算类学至关重要.
研究的目的:
- 建立一个全面的数据源,将蛋白质-的相互作用结构与结合亲和关系相关联.
主要方法:
- 从蛋白质数据库和文献中手动整理了一个数据集 (PpI[S/A]DS),包括超过350个具有结构和亲和数据的PPI复合体.
- 开发了102个样本的非冗余基准 (PpI[S/A]BM),确保结构可靠性,功能多样性和进化非同质性.
主要成果:
- 收集的结构具有高分辨率 (X射线结晶学或溶液NMR).
- 亲和度数据 (Kd值) 从亚纳米度到毫米度不等,代表相互作用强度的直接测量.
- 根据的二次结构 (六类),生物功能和结合行为,PpI样品被分类.
结论:
- 策划数据集 (PpI[S/A]DS) 和基准数据集 (PpI[S/A]BM) 为计算类学社区提供了宝贵的资源.
- 这些资源促进了旨在将蛋白质-相互作用亲和力与结构特征相关的研究.
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