2020
DOI: 10.1021/acs.jproteome.0c00654
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Molecular Simulations and Network Modeling Reveal an Allosteric Signaling in the SARS-CoV-2 Spike Proteins

Abstract: The development of computational strategies for the quantitative characterization of the functional mechanisms of SARS-CoV-2 spike proteins is of paramount importance in efforts to accelerate the discovery of novel therapeutic agents and vaccines combating the COVID-19 pandemic. Structural and biophysical studies have recently characterized the conformational landscapes of the SARS-CoV-2 spike glycoproteins in the prefusion form, revealing a spectrum of stable and more dynamic states. By employing molecular si… Show more

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Cited by 77 publications
(125 citation statements)
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“…These results are consistent with our recent studies suggesting that closed and open prefusion forms of the SARS-CoV-2 spike trimer could become more dynamic than the “locked-closed” trimer conformations in which mobility of the NTD and RBD regions are largely suppressed. 64 …”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…These results are consistent with our recent studies suggesting that closed and open prefusion forms of the SARS-CoV-2 spike trimer could become more dynamic than the “locked-closed” trimer conformations in which mobility of the NTD and RBD regions are largely suppressed. 64 …”
Section: Resultsmentioning
confidence: 99%
“… 63 Molecular simulations and network modeling approaches were also used on our most recent investigation to present evidence that the SARS-CoV-2 spike protein can function as an allosteric regulatory engine that fluctuates between dynamically distinct functional states. 64 …”
Section: Introductionmentioning
confidence: 99%
“…This extends beyond the scope of the present study and will be presented elsewhere. In this context, our most recent study of the SARS-CoV-2 spike trimers using perturbation analysis and network modeling presented evidence that the SARS-CoV-2 spike protein can function as an allosteric regulatory engine that fluctuates between dynamically distinct functional states [ 37 ].…”
Section: Resultsmentioning
confidence: 99%
“…The rapidly emerging plethora of computational studies examined SARS-CoV-2-RBD interactions with ACE2 enzyme using the recent crystal structures [ 29 , 30 , 31 , 32 , 33 , 34 , 35 , 36 , 37 ]. It was proposed that SARS-CoV-2-RBD may have adopted a specific strategy for achieving favorable binding affinity by exploiting the larger binding interface as compared to the SARS-CoV-RBD that employs the fewer contacts and could rely only on major hotpot centers [ 29 ].…”
Section: Introductionmentioning
confidence: 99%
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