Text S1 - An Evolutionary Trade-Off between Protein Turnover Rate and Protein Aggregation Favors a Higher Aggregation Propensity in Fast Degrading Proteins
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https://figshare.com/articles/dataset/An_Evolutionary_Trade_Off_between_Protein_Turnover_Rate_and_Protein_Aggregation_Favors_a_Higher_Aggregation_Propensity_in_Fast_Degrading_Proteins/135808
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Supplementary data. Table 1. Comparison between the aggregation parameters for short-living and long-living proteins. The analysed population is the group of short-living protein, the reference population are the long-living proteins. ++ and − indicate that the population has a distribution significantly (p<0.001) shifted to respectively higher or lower values than the reference population in the performed statistical test, idem for + and − where p<0.01. Table 2. Lifetime data for disease-associated proteins. We show the lifetime values of the proteins from the Yen dataset [19] on protein lifetime that are associated with protein deposition diseases. Table 3. Overview of the protein set used. From the Yen dataset [19] on protein lifetime, we here show the lifetime values for the 611 proteins that fall in the extreme categories (longest and shortest lifetimes respectively). Where high resolution structural information is available in the Protein Structure Databank (PDB) (http://www.pdb.org) [64] we indicate the PDBID. Table 4. Overview of the chaperone set. This table contains the chaperones used in the IntAct [21] interaction study, represented by their accession number, entry name and UniProt comment.
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创建时间:
2011-06-23



