预测和实验蛋白质结合信息的配对数据库
Jazmine A Torres1, Chris A Kieslich1,2, Robert J Pantazes3
1Department of Chemical Engineering, Auburn University, Auburn, AL, 36849-5127, USA.
Scientific data
|August 20, 2025
概括
预测和实验结信息 (PEPBI) 数据库提供了329个预测的蛋白复合体与热力学数据. 本资源有助于开发用于设计具有特定蛋白质结合性质的的计算方法.
科学领域:
- 生物化学 生化学
- 结构生物学 结构生物学
- 计算生物学 计算生物学
背景情况:
- 类是重要的生物分子,在传感和治疗方面发挥着重要作用.
- 精确的蛋白结构和热力学数据对于推进计算设计至关重要.
- 现有的数据库可能缺乏关于-蛋白相互作用及其热力学特性的全面数据.
研究的目的:
- 引入预测和实验结信息 (PEPBI) 数据库.
- 提供预测的蛋白复合体与实验热力学数据的精选集合.
- 支持开发和验证计算设计工具.
主要方法:
- 从实验确定结构中编译了329个预测的蛋白复合体.
- 包括吉布斯自由能量,和变化的实验测量.
- 使用罗塞塔的接口分析仪计算了每个复合体的40个属性.
- 应用了严格的结构标准来进行复杂的选择,包括长度,分辨率和序列标识.
主要成果:
- PEPBI数据库包含329个高质量的预测蛋白复合体.
- 每个复合体都与实验热力学数据相关 (吉布斯自由能量,,).
- 包括从罗塞塔获得的广泛的结构和接口属性 (每组合40个).
结论:
- PEPBI 作为计算设计的宝贵资源.
- 该数据库有助于开发设计具有有针对性的结合亲和性的方法.
- 预计PEPBI将加速基于的治疗方法和传感技术的进步.
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