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High-quality Thermodynamic Data on the Stability Changes of Proteins Upon Single-site Mutations
Author(s) -
Fabrizio Pucci,
Raphaël Bourgeas,
Marianne Rooman
Publication year - 2016
Publication title -
journal of physical and chemical reference data
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.526
H-Index - 94
eISSN - 1529-7845
pISSN - 0047-2689
DOI - 10.1063/1.4947493
Subject(s) - chemistry , protein stability , folding (dsp implementation) , chemical stability , enthalpy , thermodynamics , protein folding , thermal stability , heat capacity , in silico , stability (learning theory) , biochemistry , physics , organic chemistry , machine learning , gene , computer science , electrical engineering , engineering
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.SCOPUS: ar.jinfo:eu-repo/semantics/publishe

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