PFDB
收藏OpenDataLab2026-05-17 更新2024-05-09 收录
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资源简介:
我们构建了标准化的蛋白质折叠动力学数据库 (PFDB),其中在标准温度 (25 °C) 下计算所有列出的蛋白质的对数速率常数。针对折叠动力学最初是在25 °C以外的温度下测量的蛋白质,引入了基于Eyring-Kramers方程的温度校正。我们通过比较14种不同蛋白质在25 °C下预测和实验观察到的对数速率常数来验证温度校正,结果表明数据库质量得到了改善。PFDB由141个 (89个二态和52个非二态) 单结构域球状蛋白组成,在目前可用的蛋白质折叠动力学数据库中,其数量最多。因此,PFDB旨在用作开发和测试未来蛋白质折叠的预测和理论研究的标准。
We constructed a standardized protein folding kinetics database (PFDB). The logarithmic rate constants of all listed proteins are calculated at a standard temperature of 25 °C. For proteins whose folding kinetics were initially measured at temperatures other than 25 °C, a temperature correction based on the Eyring-Kramers equation was implemented. We validated this correction by comparing the predicted and experimentally observed logarithmic rate constants of 14 distinct proteins at 25 °C, and the results confirmed an improvement in the database’s quality. PFDB comprises 141 single-domain globular proteins, including 89 two-state and 52 non-two-state proteins, and it has the largest number of entries among all currently available protein folding kinetics databases. Thus, PFDB is designed to serve as a benchmark for developing and testing predictive and theoretical studies on protein folding in the future.
提供机构:
OpenDataLab
创建时间:
2022-10-17
搜集汇总
数据集介绍

背景与挑战
背景概述
PFDB是一个标准化的蛋白质折叠动力学数据库,包含141个单结构域球状蛋白的折叠动力学数据,并在25°C下计算了对数速率常数。该数据集由成均馆大学·韩国高等研究院于2022年发布,旨在作为开发和测试蛋白质折叠预测和理论研究的标准。
以上内容由遇见数据集搜集并总结生成



