Atomistic Simulations and Network-Based Energetic Profiling of Binding and Allostery in the SARS-CoV-2 Spike Omicron BA.1, BA.1.1, BA.2 and BA.3 Subvariant Complexes with the Host Receptor: Revealing Hidden Functional Roles of the Binding Hotspots in Mediating Epistatic Effects and Long-Range Communication with Allosteric Pockets
Verkhivker, G.; Agajanian, S.; Krishnan, K.; Kassab, R.
Show abstract
In this study, we performed all-atom MD simulations of the RBD-ACE2 complexes for BA.1, BA.1.1, BA.2, an BA.3 Omicron subvariants, conducted a systematic mutational scanning of the RBD-ACE2 binding interfaces and analysis of electrostatic effects. The binding free energy computations of the Omicron RBD-ACE2 complexes and comprehensive examination of the electrostatic interactions quantify the driving forces of binding and provide new insights into energetic mechanisms underlying evolutionary differences between Omicron variants. A systematic mutational scanning of the RBD residues determines the protein stability centers and binding energy hotpots in the Omicron RBD-ACE2 complexes. By employing the ensemble-based global network analysis, we proposed a community-based topological model of the Omicron RBD interactions that characterized functional roles of the Omicron mutational sites in mediating non-additive epistatic effects of mutations. Our findings suggested that non-additive contributions to the binding affinity may be mediated by R493, Y498, and Y501 sites and are greater for the Omicron BA.1.1 and BA.2 complexes that display the strongest ACE2 binding affinity among the Omicron subvariants. A network-centric adaptation model of the reversed allosteric communication is unveiled in this study that established a robust connection between allosteric network hotspots and potential allosteric binding pockets. Using this approach, we demonstrated that mediating centers of long-range interactions could anchor the experimentally validated allosteric binding pockets. Through an array of complementary approaches and proposed models, this comprehensive and multi-faceted computational study revealed and quantified multiple functional roles of the key Omicron mutational site R493, R498 and Y501 acting as binding energy hotspots, drivers of electrostatic interactions as well as mediators of epistatic effects and long-range communications with the allosteric pockets.
Matching journals
The top 7 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Conformational Flexibility and Local Frustration in the Functional States of the SARS-CoV-2 Spike B.1.1.7 and B.1.351 Variants: Mutation-Induced Allosteric Modulation Mechanism of Functional Dynamics and Protein Stability 98%
- Allosteric Determinants of the SARS-CoV-2 Spike Protein Binding with Nanobodies: Examining Mechanisms of Mutational Escape and Sensitivity of the Omicron Variant 98%
- The molecular mechanism of positive allosteric modulation at the dopamine D1 receptor 96%
Similar papers in this journal
Similar papers in this journal
- Evolutionary progression of collective mutations in Omicron sub-lineages towards efficient RBD-hACE2: allosteric communications between and within viral and human proteins 98%
- Rational Design of Monomeric IL37 Variants Guided by Stability and Dynamical Analyses of IL37 Dimers 95%
- Predicting stable binding modes from simulated dimers of the D76N mutant of β2-microglobulin 95%
Similar papers in this journal
- Molecular Insights into the Differential Dynamics of SARS-CoV-2 Variants of Concern (VOCs) 96%
- Modelling SARS-CoV-2 spike-protein mutation effects on ACE2 binding 95%
- Computational insights into the conformational transition of STING: mechanistic, energetic considerations, and the influence of crucial mutations 95%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.