Hierarchical Computational Modeling and Dynamic Network Analysis of Allosteric Regulation in the SARS-CoV-2 Spike Omicron Trimer Structures: Omicron Mutations Cooperate to Allosterically Control Balance of Protein Stability and Conformational Adaptability
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Abstract
Structural and computational studies of the Omicron spike protein in various functional states and complexes provided important insights into molecular mechanisms underlying binding, high transmissibility, and escaping immune defense. However, the regulatory roles and functional coordination of the Omicron mutations are poorly understood and often ignored in the proposed mechanisms. In this work, we explored the hypothesis that the SARS-CoV-2 spike protein can function as a robust allosterically regulated machinery in which Omicron mutational sites are dynamically coupled and form a central engine of the allosteric network that regulates the balance between conformational plasticity, protein stability, and functional adaptability. In this study, we employed coarse-grained dynamics simulations of multiple full-length SARS-CoV-2 spike Omicron trimers structures in the closed and open states with the local energetic frustration analysis and collective dynamics mapping to understand the determinants and key hotspots driving the balance of protein stability and conformational adaptability. We have found that the Omicron mutational sites at the inter-protomer regions form regulatory clusters that control functional transitions between the closed and open states. Through perturbation-based modeling of allosteric interaction networks and diffusion analysis of communications in the closed and open spike states, we quantify the allosterically regulated activation mechanism and uncover specific regulatory roles of the Omicron mutations. The network modeling demonstrated that Omicron mutations form the inter-protomer electrostatic bridges that connect local stable communities and function as allosteric switches of signal transmission. The results of this study are consistent with the experiments, revealing distinct and yet complementary role of the Omicron mutational sites as a network of hotspots that enable allosteric modulation of structural stability and conformational changes which are central for spike activation and virus transmissibility.
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SciScore for 10.1101/2022.04.11.487920: (What is this?)
Please note, not all rigor criteria are appropriate for all manuscripts.
Table 1: Rigor
NIH rigor criteria are not applicable to paper type.Table 2: Resources
Software and Algorithms Sentences Resources The missing loops in the cryo-EM structures were reconstructed using template-based loop prediction approaches ModLoop99 and ArchPRED100 and further confirmed by FALC (Fragment Assembly and Loop Closure) program. ArchPRED100suggested: NoneBrownian Dynamics Simulations: Coarse-grained Brownian dynamics (BD) simulations have been conducted using the ProPHet (Probing Protein Heterogeneity) approach and program. ProPHetsuggested: (Prophet, RRID:SCR_017083)Protein Stability Calculations: A systematic alanine scanning of the SARS-CoV-2 S Omicron inter-protomer interface residues was performed … SciScore for 10.1101/2022.04.11.487920: (What is this?)
Please note, not all rigor criteria are appropriate for all manuscripts.
Table 1: Rigor
NIH rigor criteria are not applicable to paper type.Table 2: Resources
Software and Algorithms Sentences Resources The missing loops in the cryo-EM structures were reconstructed using template-based loop prediction approaches ModLoop99 and ArchPRED100 and further confirmed by FALC (Fragment Assembly and Loop Closure) program. ArchPRED100suggested: NoneBrownian Dynamics Simulations: Coarse-grained Brownian dynamics (BD) simulations have been conducted using the ProPHet (Probing Protein Heterogeneity) approach and program. ProPHetsuggested: (Prophet, RRID:SCR_017083)Protein Stability Calculations: A systematic alanine scanning of the SARS-CoV-2 S Omicron inter-protomer interface residues was performed using FoldX approach. FoldXsuggested: (FoldX, RRID:SCR_008522)120 Network graph calculations were performed using the python package NetworkX. pythonsuggested: (IPython, RRID:SCR_001658)Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.Results from TrialIdentifier: No clinical trial numbers were referenced.
Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
Results from JetFighter: We did not find any issues relating to colormaps.
Results from rtransparent:- Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
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- No protocol registration statement was detected.
Results from scite Reference Check: We found no unreliable references.
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