Pulling Forces Differentially Affect Refolding Pathways Due to Entangled Misfolded States in SARS-CoV-1 and SARS-CoV-2 Receptor Binding Domain.


Journal

Biomolecules
ISSN: 2218-273X
Titre abrégé: Biomolecules
Pays: Switzerland
ID NLM: 101596414

Informations de publication

Date de publication:
18 Oct 2024
Historique:
received: 26 09 2024
revised: 15 10 2024
accepted: 16 10 2024
medline: 26 10 2024
pubmed: 26 10 2024
entrez: 26 10 2024
Statut: epublish

Résumé

Single-molecule force spectroscopy (SMFS) experiments can monitor protein refolding by applying a small force of a few piconewtons (pN) and slowing down the folding process. Bell theory predicts that in the narrow force regime where refolding can occur, the folding time should increase exponentially with increased external force. In this work, using coarse-grained molecular dynamics simulations, we compared the refolding pathways of SARS-CoV-1 RBD and SARS-CoV-2 RBD (RBD refers to the receptor binding domain) starting from unfolded conformations with and without a force applied to the protein termini. For SARS-CoV-2 RBD, the number of trajectories that fold is significantly reduced with the application of a 5 pN force, indicating that, qualitatively consistent with Bell theory, refolding is slowed down when a pulling force is applied to the termini. In contrast, the refolding times of SARS-CoV-1 RBD do not change meaningfully when a force of 5 pN is applied. How this lack of a Bell response could arise at the molecular level is unknown. Analysis of the entanglement changes of the folded conformations revealed that in the case of SARS-CoV-1 RBD, an external force minimizes misfolding into kinetically trapped states, thereby promoting efficient folding and offsetting any potential slowdown due to the external force. These misfolded states contain non-native entanglements that do not exist in the native state of either SARS-CoV-1-RBD or SARS-CoV-2-RBD. These results indicate that non-Bell behavior can arise from this class of misfolding and, hence, may be a means of experimentally detecting these elusive, theoretically predicted states.

Identifiants

pubmed: 39456260
pii: biom14101327
doi: 10.3390/biom14101327
pii:
doi:

Substances chimiques

Spike Glycoprotein, Coronavirus 0
spike protein, SARS-CoV-2 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Auteurs

Pham Dang Lan (PD)

Institute for Computational Sciences and Technology, Ho Chi Minh City 71506, Vietnam.
Faculty of Physics and Engineering Physics, VNUHCM-University of Science, 227, Nguyen Van Cu Street, District 5, Ho Chi Minh City 72700, Vietnam.

Edward P O'Brien (EP)

Department of Chemistry, Pennsylvania State University, University Park, PA 16802, USA.
Bioinformatics and Genomics Graduate Program, The Huck Institutes of the Life Sciences, Pennsylvania State University, University Park, PA 16802, USA.
Institute for Computational and Data Sciences, Pennsylvania State University, University Park, PA 16802, USA.

Mai Suan Li (MS)

Institute of Physics, Polish Academy of Sciences, 02-668 Warsaw, Poland.

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Classifications MeSH