Decades of research on protein folding have primarily focused on a subset of small proteins that can reversibly refold from a denatured state. However, these studies have generally not been representative of the complexity of natural proteomes, which consist of many proteins with complex architectures and domain organizations. Here, we introduce an experimental approach to probe protein refolding kinetics for whole proteomes using mass spectrometry-based proteomics. Our study covers the majority of the soluble E. coli proteome expressed during log-phase growth, and among this group, we find that one-third of the E. coli proteome is not intrinsically refoldable on physiological time scales, a cohort that is enriched with certain fold-types, domain organizations, and other biophysical features. We also identify several properties and fold-types that are correlated with slow refolding on the minute time scale. Hence, these results illuminate when exogenous factors and processes, such as chaperones or cotranslational folding, might be required for efficient protein folding.

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Some misfolded protein conformations can bypass proteostasis machinery and remain soluble in vivo. This is an unexpected observation, as cellular quality control mechanisms should remove misfolded proteins. Three questions, then, are: how do long-lived, soluble, misfolded proteins bypass proteostasis? How widespread are such misfolded states? And how long do they persist? We address these questions using coarse-grain molecular dynamics simulations of the synthesis, termination, and post-translational dynamics of a representative set of cytosolic E. coli proteins. We predict that half of proteins exhibit misfolded subpopulations that bypass molecular chaperones, avoid aggregation, and will not be rapidly degraded, with some misfolded states persisting for months or longer. The surface properties of these misfolded states are native-like, suggesting they will remain soluble, while self-entanglements make them long-lived kinetic traps. In terms of function, we predict that one-third of proteins can misfold into soluble less-functional states. For the heavily entangled protein glycerol-3-phosphate dehydrogenase, limited-proteolysis mass spectrometry experiments interrogating misfolded conformations of the protein are consistent with the structural changes predicted by our simulations. These results therefore provide an explanation for how proteins can misfold into soluble conformations with reduced functionality that can bypass proteostasis, and indicate, unexpectedly, this may be a wide-spread phenomenon.

The journey by which proteins navigate their energy landscapes to their native structures is complex, involving (and sometimes requiring) many cellular factors and processes operating in partnership with a given polypeptide chain’s intrinsic energy landscape. The cytosolic environment and its complement of chaperones play critical roles in granting many proteins safe passage to their native states; however, it is challenging to interrogate the folding process for large numbers of proteins in a complex background with most biophysical techniques. Hence, most chaperone-assisted protein refolding studies are conducted in defined buffers on single purified clients. Here, we develop a limited proteolysis–mass spectrometry approach paired with an isotope-labeling strategy to globally monitor the structures of refolding  Escherichia coli proteins in the cytosolic medium and with the chaperones, GroEL/ES (Hsp60) and DnaK/DnaJ/GrpE (Hsp70/40). GroEL can refold the majority (85%) of the E. coli proteins for which we have data and is particularly important for restoring acidic proteins and proteins with high molecular weight, trends that come to light because our assay measures the structural outcome of the refolding process itself, rather than binding or aggregation. For the most part, DnaK and GroEL refold a similar set of proteins, supporting the view that despite their vastly different structures, these two chaperones unfold misfolded states, as one mechanism in common. Finally, we identify a cohort of proteins that are intransigent to being refolded with either chaperone. We suggest that these proteins may fold most efficiently cotranslationally, and then remain kinetically trapped in their native conformations.

The specific activity of enzymes can be altered over long time scales in cells by synonymous mutations, which change an mRNA molecule's sequence but not the encoded protein's primary structure. How this happens at the molecular level is unknown. Here, we resolve this issue by applying multiscale modeling to three E. coli enzymes - type III chloramphenicol acetyltransferase, D-alanine-D-alanine ligase B, and dihydrofolate reductase. This modeling involves coarse-grained simulations of protein synthesis and post-translational behavior, all-atom simulations as a test of robustness, and QM/MM calculations to characterize function. We first demonstrate that our model accurately predicts experimentally measured changes in specific activity due to synonymous mutations. Then, we show that changes in codon translation rates induced by synonymous mutations cause shifts in co-translational and post-translational folding pathways that kinetically partition molecules into subpopulations that very slowly interconvert to the native, functional state. These long-lived states exhibit reduced catalytic activity, as demonstrated by their increased activation energies for the reactions they carry out. Structurally, these states resemble the native state, with localized misfolding near the active sites of the enzymes. The localized misfolding involves noncovalent lasso entanglements - a topology in which the protein backbone forms a loop closed by noncovalent native contacts which is then threaded by another portion of the protein. Such entanglements are often kinetic traps, as they can require a large proportion of the protein to unfold, which is energetically unfavorable, before they disentangle and attain the native state. The near-native-like structures of these misfolded states allow them to bypass the proteostasis machinery and remain soluble, as they exhibit similar hydrophobic surface areas as the native state. These entangled structures persist in all-atom simulations as well, indicating that these conclusions are independent of model resolution. Thus, synonymous mutations cause shifts in the co- and post-translational structural ensemble of proteins, whose altered subpopulations lead to long-term changes in the specific activities of some enzymes. The formation of entangled subpopulations is therefore a mechanism through which changes in translation elongation rate alter ensemble-averaged specific activities, which can ultimately affect the efficiency of biochemical pathways and phenotypic traits.