Conformational Behavior of SARS-Cov-2 Spike Protein Variants: Evolutionary Jumps in Sequence Reverberate in Structural Dynamic Differences.
Alice TriveriEmanuele CasaliElena FrasnettiFilippo DoriaFrancesco FrigerioFabrizio CinquiniSilvia PavoniElisabetta MoroniFilippo MarchettiStefano Artin SerapianGiorgio ColomboPublished in: Journal of chemical theory and computation (2023)
SARS-CoV-2 has evolved rapidly in the first 3 years of pandemic diffusion. The initial evolution of the virus appeared to proceed through big jumps in sequence changes rather than through the stepwise accumulation of point mutations on already established variants. Here, we examine whether this nonlinear mutational process reverberates in variations of the conformational dynamics of the SARS-CoV-2 Spike protein (S-protein), the first point of contact between the virus and the human host. We run extensive microsecond-scale molecular dynamics simulations of seven distinct variants of the protein in their fully glycosylated state and set out to elucidate possible links between the mutational spectrum of the S-protein and the structural dynamics of the respective variant, at global and local levels. The results reveal that mutation-dependent structural and dynamic modulations mostly consist of increased coordinated motions in variants that acquire stability and in an increased internal flexibility in variants that are less stable. Importantly, a limited number of functionally important substructures (the receptor binding domain, in particular) share the same time of movements in all variants, indicating efficient preorganization for functional regions dedicated to host interactions. Our results support a model in which the internal dynamics of the S-proteins from different strains varies in a way that reflects the observed random and non-stepwise jumps in sequence evolution, while conserving the functionally oriented traits of conformational dynamics necessary to support productive interactions with host receptors.
Keyphrases
- sars cov
- molecular dynamics simulations
- copy number
- amino acid
- binding protein
- protein protein
- molecular dynamics
- genome wide
- respiratory syndrome coronavirus
- endothelial cells
- escherichia coli
- dna methylation
- small molecule
- squamous cell carcinoma
- gene expression
- coronavirus disease
- big data
- transcription factor
- neoadjuvant chemotherapy
- deep learning