Back

Subtle changes at the RBD/hACE2 interface during SARS-CoV2 variant evolution: a molecular dynamics study

Gheeraert, A.; Leroux, V.; Mias-Lucquin, D.; Karami, Y.; Vuillon, L.; Chauvot de Bauchene, I.; Devignes, M.-D.; Rivalta, I.; Maigret, B.; Chaloin, L.

2024-12-13 bioinformatics
10.1101/2024.12.12.628120 bioRxiv
Show abstract

The SARS-CoV-2 Omicron variants present a different behavior compared to the previous variants, all particularly in respect to the Delta variant, as it seems to promote a lower morbidity although being much more contagious. In this perspective, we performed new molecular dynamics (MD) simulations of the various spike RBD/hACE2 complexes corresponding to the WT, Delta and Omicron variants (BA.1 up to BA.4/5) over 1.5 {micro}s timescale. Then, carrying out a comprehensive analysis of residue interactions within and between the two partners, allowed us to draw the profile of each variant by using complementary methods (PairInt, hydrophobic potential, contact PCA). Main results of PairInt calculations highlighted the most involved residues in electrostatic interactions that represent a strong contribution in the binding with highly stable contacts between spike RBD and hACE2 (importance of mutated residues at positions 417, 493 and 498). In addition to the swappable arginine residues (493/498), the apolar contacts made a substantial and complementary contribution in Omicron with the detection of two hydrophobic patches, one of which was correlated with energetic contribution calculations. This study brings new highlights on the global dynamics of spike RBD/hACE2 complexes resulting from the analysis of contact networks and cross-correlation matrices able to detect subtle changes at point mutations. The results of our study are also consistent with alternative approaches such as binding free energy calculations but are more informative and sensitive to transient or low-energy interactions. Nevertheless, the energetic contributions of residues at positions 501 and 505 were in good agreement with hydrophobic interactions measurements. The contact PCA networks could identify the intramolecular incidence of the S375F mutation occurring in all Omicron variants and likely conferring them an advantage in binding stability. Collectively, these data revealed the major differences observed between WT/Delta and Omicron variants at the RBD/hACE2 interface, which may explain the greater persistence of Omicron. Author SummaryThe evolution of SARS-CoV-2 was extremely rapid, leading to the global predominance of Omicron variants, despite the many mutations identified in the spike protein. Some of these were introduced to evade the immune system, but many others were located in the Receptor Binding Domain (RBD) without affecting its efficient binding to hACE2 and preserving the high infectivity of this variant. To unravel the mechanism by which this protein-protein connection remains strong or stable, it is necessary to study the different types of interactions at the atomic level and over time using molecular dynamics (MD) simulations. Indeed, in contrast to crystal or cryo-EM structures providing only a fixed image of the binding process, MD simulations have allowed to unambiguously identify the sustainability of some interactions mediated by key residues of spike RBD. This study could also highlight the interchangeable role of certain residues in compensating for a mutation, which in turn allows the virus to maintain durable binding to the host cell receptor. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=83 SRC="FIGDIR/small/628120v1_ufig1.gif" ALT="Figure 1"> View larger version (35K): org.highwire.dtl.DTLVardef@b2a6c4org.highwire.dtl.DTLVardef@e29044org.highwire.dtl.DTLVardef@6d9835org.highwire.dtl.DTLVardef@123c6f9_HPS_FORMAT_FIGEXP M_FIG Graphical abstract C_FIG

Matching journals

The top 6 journals account for 50% of the predicted probability mass.

1
Computational and Structural Biotechnology Journal
216 papers in training set
Top 0.1%
23.3%
2
Journal of Chemical Information and Modeling
207 papers in training set
Top 0.5%
10.8%
3
Viruses
318 papers in training set
Top 0.9%
5.0%
4
International Journal of Molecular Sciences
453 papers in training set
Top 1%
5.0%
5
PLOS ONE
4510 papers in training set
Top 30%
5.0%
6
Virus Research
36 papers in training set
Top 0.1%
4.5%
50% of probability mass above
7
PLOS Computational Biology
1633 papers in training set
Top 11%
3.2%
8
Journal of Biomolecular Structure and Dynamics
43 papers in training set
Top 0.5%
2.2%
9
Frontiers in Immunology
586 papers in training set
Top 3%
2.0%
10
Journal of Medical Virology
137 papers in training set
Top 2%
2.0%
11
Computers in Biology and Medicine
120 papers in training set
Top 2%
1.8%
12
Scientific Reports
3102 papers in training set
Top 61%
1.5%
13
PLOS Pathogens
721 papers in training set
Top 6%
1.4%
14
Frontiers in Molecular Biosciences
100 papers in training set
Top 3%
1.3%
15
Frontiers in Virology
15 papers in training set
Top 0.1%
1.1%
16
The Journal of Physical Chemistry B
158 papers in training set
Top 1%
1.1%
17
Journal of Molecular Graphics and Modelling
16 papers in training set
Top 0.1%
1.0%
18
Communications Biology
886 papers in training set
Top 16%
1.0%
19
Journal of Structural Biology
58 papers in training set
Top 1%
0.9%
20
Biophysical Journal
545 papers in training set
Top 4%
0.9%
21
PeerJ
261 papers in training set
Top 12%
0.9%
22
Biochemical and Biophysical Research Communications
78 papers in training set
Top 1%
0.8%
23
Protein Science
221 papers in training set
Top 2%
0.8%
24
Microbiology Spectrum
435 papers in training set
Top 5%
0.8%
25
iScience
1063 papers in training set
Top 32%
0.7%
26
Frontiers in Bioinformatics
45 papers in training set
Top 1%
0.7%
27
Journal of Virology
456 papers in training set
Top 4%
0.5%
28
Royal Society Open Science
193 papers in training set
Top 6%
0.5%
29
Cellular Signalling
14 papers in training set
Top 0.4%
0.5%
30
mSphere
281 papers in training set
Top 7%
0.5%