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Mitropoulou, A.

Publications and source records attributed to Mitropoulou, A..

2 recordsLinked to original sources

Structures of protein folding intermediates on the ribosome

The ribosome biases the conformations sampled by nascent polypeptide chains along folding pathways towards biologically active states. A hallmark of the co-translational folding (coTF) of many proteins are highly stable folding intermediates that are absent or only transiently populated off the ribosome, yet persist during translation well-beyond complete emergence of the domain from the ribosome exit tunnel. Intermediates are important for folding fidelity; however, their structures have remained elusive. Here, we have structurally characterised two coTF intermediates of an immunoglobulin-like domain by developing comprehensive 19F NMR analyses using chemical shifts, paramagnetic relaxation enhancement (PRE), and protein engineering. We integrated these experimental data with extensive molecular dynamics (MD) simulations to obtain atomistic structures of the folding intermediates on the ribosome. The resulting intermediate structures are distinguished by native-like folds initiated from either their N-or C-termini, and reveal parallel folding pathways, which are structurally conserved within the protein domain family, in contrast to their in vitro refolding mechanisms. By redirecting proteins to fold along hierarchical, parallel routes, the ribosome may promote efficient folding by avoiding kinetic traps, and regulate nascent chain assembly and targeting by auxiliary factors to maintain cellular proteostasis.

biophysics↗

CryoENsemble - a Bayesian approach for reweighting biomolecular structural ensembles using heterogeneous cryo-EM maps

Cryogenic electron microscopy (cryo-EM) has emerged as a central tool for the determination of structures of complex biological molecules. Accurately characterising the dynamics of such systems, however, remains a challenge. To address this, we introduce cryoENsemble, a method that applies Bayesian reweighing to conformational ensembles derived from molecular dynamics simulations to improve their agreement with cryo-EM data and extract dynamics information. We illustrate the use of cryoENsemble to determine the dynamics of the ribosome-bound state of the co-translational chaperone trigger factor (TF). We also show that cryoENsemble can assist with the interpretation of low-resolution, noisy or unaccounted regions of cryo-EM maps. Notably, we are able to link an unaccounted part of the cryo-EM map to the presence of another protein (methionine aminopeptidase, or MetAP), rather than to the dynamics of TF, and model its TF-bound state. Based on these results, cryoENsemble is expected to find use for challenging heterogeneous cryo-EM maps for various biomolecular systems, especially those encompassing dynamic elements.

biophysics↗