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• W2162910040 abstract "Abstract The problem of protein self‐organization is in the focus of current molecular biology studies. Although the general principles are understood, many details remain unclear. Specifically, protein folding rates are of interest because they dictate the rate of protein aggregation which underlies many human diseases. Here we offer predictions of protein folding rates and their correlation with folding nucleus sizes. We calculated free energies of the transition state and sizes of folding nuclei for 84 proteins and peptides whose other parameters were measured at the point of thermodynamic equilibrium between their unfolded and native states. We used the dynamic programming method where each residue was considered to be either as folded as in its native state or completely disordered. The calculated and measured folding rates showed a good correlation at the temperature mid‐transition point (the correlation coefficient was 0.75). Also, we pioneered in demonstrating a moderate (‐0.57) correlation coefficient between the calculated sizes of folding nuclei and the folding rates. Predictions made by different methods were compared. The established good correlation between the estimated free energy barrier and the experimentally found folding rate of each studied protein/peptide indicates that our model gives reliable results for the considered data set. Proteins 2012; © 2012 Wiley Periodicals, Inc." @default.
• W2162910040 created "2016-06-24" @default.
• W2162910040 creator A5023828983 @default.
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• W2162910040 date "2012-09-15" @default.
• W2162910040 modified "2023-10-18" @default.
• W2162910040 title "Nucleation-based prediction of the protein folding rate and its correlation with the folding nucleus size" @default.
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• W2162910040 doi "https://doi.org/10.1002/prot.24156" @default.
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• W2162910040 hasPublicationYear "2012" @default.
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