A team of scientists, including researchers from the University of California San Francisco (UCSF), have used supercomputer simulations to reveal how the dominant SARS-CoV-2 strain, known as D614G, binds to human host cells and is neutralized by antibodies.
The research, published in the journal Nature Communications, provides new insights into the molecular mechanisms that underlie SARS-CoV-2 infection and immunity, which could aid in the development of vaccines and treatments for COVID-19.
Using the National Science Foundation-funded Frontera supercomputer at the Texas Advanced Computing Center (TACC), the researchers performed extensive simulations of the interactions between the D614G spike protein of SARS-CoV-2 and human angiotensin-converting enzyme 2 (ACE2) receptors, the main gateway for the virus to enter human cells.
The simulations revealed that the D614G mutation enhances the binding affinity between the spike protein and ACE2 receptors, explaining the increased infectivity of this strain. This finding suggests that the D614G mutation played a crucial role in the rapid global spread of SARS-CoV-2.
In addition, the simulations showed that the D614G mutation alters the conformation of the spike protein, making it more susceptible to neutralization by certain antibodies. This provides hope that existing antibodies and vaccines targeting the original strain of SARS-CoV-2 could still be effective against the D614G variant.
The findings of this study highlight the power of supercomputer simulations in understanding the molecular mechanisms of viral infections and immunity, and could contribute to the development of effective countermeasures against COVID-19 and future pandemics.
"Our simulations provide a detailed molecular-level understanding of how the D614G mutation affects the interactions between SARS-CoV-2 and human cells, which could guide the design of vaccines and treatments," said study lead Dr. Jianhan Chen, a postdoctoral researcher at UCSF.
