Folding kinetics of an entangled protein

PLoS Comput Biol. 2023 Nov 13;19(11):e1011107. doi: 10.1371/journal.pcbi.1011107. eCollection 2023 Nov.

Abstract

The possibility of the protein backbone adopting lasso-like entangled motifs has attracted increasing attention. After discovering the surprising abundance of natively entangled protein domain structures, it was shown that misfolded entangled subpopulations might become thermosensitive or escape the homeostasis network just after translation. To investigate the role of entanglement in shaping folding kinetics, we introduce a novel indicator and analyze simulations of a coarse-grained, structure-based model for two small single-domain proteins. The model recapitulates the well-known two-state folding mechanism of a non-entangled SH3 domain. However, despite its small size, a natively entangled antifreeze RD1 protein displays a rich refolding behavior, populating two distinct kinetic intermediates: a short-lived, entangled, near-unfolded state and a longer-lived, non-entangled, near-native state. The former directs refolding along a fast pathway, whereas the latter is a kinetic trap, consistently with known experimental evidence of two different characteristic times. Upon trapping, the natively entangled loop folds without being threaded by the N-terminal residues. After trapping, the native entangled structure emerges by either backtracking to the unfolded state or threading through the already formed but not yet entangled loop. Along the fast pathway, trapping does not occur because the native contacts at the closure of the lasso-like loop fold after those involved in the N-terminal thread, confirming previous predictions. Despite this, entanglement may appear already in unfolded configurations. Remarkably, a longer-lived, near-native intermediate, with non-native entanglement properties, recalls what was observed in cotranslational folding.

MeSH terms

  • Kinetics
  • Physics
  • Protein Conformation
  • Protein Folding*
  • Proteins* / chemistry

Substances

  • Proteins

Grants and funding

AT was supported by EU funding within the MUR PNRR "National Center for HPC, BIG DATA AND QUANTUM COMPUTING" (Project no. CN00000013 CN1). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.