2023
DOI: 10.3390/ijms24076642
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Coarse-Grained Molecular Simulations and Ensemble-Based Mutational Profiling of Protein Stability in the Different Functional Forms of the SARS-CoV-2 Spike Trimers: Balancing Stability and Adaptability in BA.1, BA.2 and BA.2.75 Variants

Abstract: Evolutionary and functional studies have suggested that the emergence of Omicron variants can be determined by multiple fitness tradeoffs including immune escape, binding affinity, conformational plasticity, protein stability, and allosteric modulation. In this study, we embarked on a systematic comparative analysis of the conformational dynamics, electrostatics, protein stability, and allostery in the different functional states of spike trimers for BA.1, BA.2, and BA.2.75 variants. Using efficient and accura… Show more

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Cited by 3 publications
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“…75−81 A comparative analysis of the conformational dynamics, electrostatics, protein stability, and allostery in the different functional states of S trimers for BA.1, BA.2, and BA.2.75 variants showed that Omicron mutations may evolve by targeting vulnerable sites of conformational adaptability to elicit immune escape while maintaining their control on balancing protein stability and functional fitness through robust allosteric communications with the stability hotspots. 82 By combining atomistic simulations and a community-based network model of epistatic couplings, we found that convergent Omicron mutations such as G446S (BA.2.75, BA.2.75.2, XBB), F486V (BA.4, BA.5, BQ.1, BQ.1.1), F486S, F490S (XBB.1), F486P (XBB.1.5) can display epistatic relationships with the major stability and binding affinity hotspots which may allow for the observed broad antibody resistance. 83 In the current study, we perform multiple microsecond MD simulations and Markov state model (MSM) analysis to characterize conformational landscapes and identify specific dynamic signatures of the SARS-CoV-2 S RBD-ACE2 complexes for the recently emerged XBB.1, XBB.1.5, BQ.1, and BQ.1.1 Omicron variants.…”
Section: ■ Introductionmentioning
confidence: 99%
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“…75−81 A comparative analysis of the conformational dynamics, electrostatics, protein stability, and allostery in the different functional states of S trimers for BA.1, BA.2, and BA.2.75 variants showed that Omicron mutations may evolve by targeting vulnerable sites of conformational adaptability to elicit immune escape while maintaining their control on balancing protein stability and functional fitness through robust allosteric communications with the stability hotspots. 82 By combining atomistic simulations and a community-based network model of epistatic couplings, we found that convergent Omicron mutations such as G446S (BA.2.75, BA.2.75.2, XBB), F486V (BA.4, BA.5, BQ.1, BQ.1.1), F486S, F490S (XBB.1), F486P (XBB.1.5) can display epistatic relationships with the major stability and binding affinity hotspots which may allow for the observed broad antibody resistance. 83 In the current study, we perform multiple microsecond MD simulations and Markov state model (MSM) analysis to characterize conformational landscapes and identify specific dynamic signatures of the SARS-CoV-2 S RBD-ACE2 complexes for the recently emerged XBB.1, XBB.1.5, BQ.1, and BQ.1.1 Omicron variants.…”
Section: ■ Introductionmentioning
confidence: 99%
“…The linkage between conformational dynamics and allosteric modulation of SARS-CoV-2 S in the absence or presence of ligands was established in an smFRET imaging assay, showing the presence of long-range allosteric control of the RBD equilibrium, which in turn regulates the exposure of the binding site and antibody binding . Our studies used integrative computational modeling approaches to reveal that the S protein could function as an allosteric regulatory machinery controlled by stable allosteric hotspots acting as drivers and regulators of spike activity. A comparative analysis of the conformational dynamics, electrostatics, protein stability, and allostery in the different functional states of S trimers for BA.1, BA.2, and BA.2.75 variants showed that Omicron mutations may evolve by targeting vulnerable sites of conformational adaptability to elicit immune escape while maintaining their control on balancing protein stability and functional fitness through robust allosteric communications with the stability hotspots . By combining atomistic simulations and a community-based network model of epistatic couplings, we found that convergent Omicron mutations such as G446S (BA.2.75, BA.2.75.2, XBB), F486V (BA.4, BA.5, BQ.1, BQ.1.1), F486S, F490S (XBB.1), F486P (XBB.1.5) can display epistatic relationships with the major stability and binding affinity hotspots which may allow for the observed broad antibody resistance …”
Section: Introductionmentioning
confidence: 99%
“…Despite mutational differences between BA.1, BA.2 and BA.2.75 lineages, the recent study of the electrostatic potentials showed a strong positive electrostatic surface in the S-RBD regions for these variants supporting the mechanism in which the enhanced electropositive character of the RBD variants is strongly related with their enhanced capacity for the virus transmission [ 54 ]. Our analysis also suggested that the evolution of the SARS-CoV-2 virus and the emergence of recombinant variants may have signaled a certain critical plateau of electrostatic positively charged RBD distribution that is optimal to complement ACE2 electrostatic potential, and convergent mutations could have emerged to balance multiple tradeoffs rather than progressively improving the RBD-ACE2 binding affinities [ 55 ].…”
Section: Introductionmentioning
confidence: 99%