Exploring the effects of N234 and N343 linked glycans to SARS CoV 2 spike protein pocket accessibility using Gaussian accelerated molecular dynamics simulations

The N234 and N343-linked glycans of the SARS-CoV 2 spike protein are known to stabilize the up-conformation of its receptor-binding domains (RBDs), enabling human angiotensin enzyme 2 (hACE2) receptor binding. However, the effect of spike-hACE2 binding on these important glycans remains poorly understood, and these changes could have implications in the development of drugs that inhibit viral entry. In this study, Gaussian accelerated molecular dynamics (GaMD) simulations of the hACE2-free and hACE2-bound spike protein are performed. Biophysical analyses were focused on the accessibility of three previously suggested druggable pockets underneath the three RBD subunits. A shielding effect by N234-linked glycans on the components of their adjacent pockets was observed. Although deshielding of central scaffold residues was observed in the hACE2-bound state, pocket A's accessibility was reduced due to an increase in NTD<sub>B</sub>-RBD<sub>B</sub> contacts, restricting entry into the pocket. For pocket B, changes in N234<sub>C</sub> and N343<sub>C</sub> expose the central scaffold residues in the bound state, increasing accessibility. In Pocket C, increased shielding due to N234<sub>A</sub> was found in the bound state, reducing accessibility. Despite these changes, the pockets remain accessible to ligands in both states and are still valid targets for drug development studies.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2025-02-27
DOI
https://doi.org/10.1038/s41598-025-85153-5
Citations
2
Primary Topic
SARS-CoV-2 and COVID-19 Research
Type
article
Field-Weighted Citation Impact
2.79

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Exploring the effects of N234 and N343 linked glycans to SARS CoV 2 spike protein pocket accessibility using Gaussian accelerated molecular dynamics simulations

James Peter L. Lim, M. Fortuna, Earl Adrian D. R. Hans, Ronny L. Cheng et al.
2 citations
Scientific Reports
SARS-CoV-2 and COVID-19 Research
2.79
article

Exploring the effects of N234 and N343 linked glycans to SARS CoV 2 spike protein pocket accessibility using Gaussian accelerated molecular dynamics simulations

James Peter L. Lim, M. Fortuna, Earl Adrian D. R. Hans, Ronny L. Cheng, Ricky B. Nellas, Donnifer V. Reyes
article en
2 citations

Abstract

The N234 and N343-linked glycans of the SARS-CoV 2 spike protein are known to stabilize the up-conformation of its receptor-binding domains (RBDs), enabling human angiotensin enzyme 2 (hACE2) receptor binding. However, the effect of spike-hACE2 binding on these important glycans remains poorly understood, and these changes could have implications in the development of drugs that inhibit viral entry. In this study, Gaussian accelerated molecular dynamics (GaMD) simulations of the hACE2-free and hACE2-bound spike protein are performed. Biophysical analyses were focused on the accessibility of three previously suggested druggable pockets underneath the three RBD subunits. A shielding effect by N234-linked glycans on the components of their adjacent pockets was observed. Although deshielding of central scaffold residues was observed in the hACE2-bound state, pocket A's accessibility was reduced due to an increase in NTD<sub>B</sub>-RBD<sub>B</sub> contacts, restricting entry into the pocket. For pocket B, changes in N234<sub>C</sub> and N343<sub>C</sub> expose the central scaffold residues in the bound state, increasing accessibility. In Pocket C, increased shielding due to N234<sub>A</sub> was found in the bound state, reducing accessibility. Despite these changes, the pockets remain accessible to ligands in both states and are still valid targets for drug development studies.

Scientific ReportsVol. 15(1)
University of the Philippines Diliman (PH)
Department of Science and Technology, Philippines
Openalex Percentile: Top 12%
SARS-CoV-2 and COVID-19 Research
2.79
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.