化学
蛋白质稳定性
折叠(DSP实现)
化学稳定性
焓
热力学
蛋白质折叠
热稳定性
热容
生物信息学
理论(学习稳定性)
生物化学
物理
基因
机器学习
有机化学
工程类
电气工程
计算机科学
作者
Fabrizio Pucci,Raphaël Bourgeas,Marianne Rooman
摘要
We have set up and manually curated a dataset containing experimental information on the impact of amino acid substitutions in a protein on its thermal stability. It consists of a repository of experimentally measured melting temperatures (Tm) and their changes upon point mutations (ΔTm) for proteins having a well-resolved x-ray structure. This high-quality dataset is designed for being used for the training or benchmarking of in silico thermal stability prediction methods. It also reports other experimentally measured thermodynamic quantities when available, i.e., the folding enthalpy (ΔH) and heat capacity (ΔCP) of the wild type proteins and their changes upon mutations (ΔΔH and ΔΔCP), as well as the change in folding free energy (ΔΔG) at a reference temperature. These data are analyzed in view of improving our insights into the correlation between thermal and thermodynamic stabilities, the asymmetry between the number of stabilizing and destabilizing mutations, and the difference in stabilization potential of thermostable versus mesostable proteins.
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