Early in the beginning of the COVID-19 pandemic, scientists predicted the coronavirus would mutate slowly. They were wrong. Hundreds of thousands of viral mutations and multiple seasonal waves later, ...
Scientists have discovered a defensive method of cells that resembles Spiderman shooting his web to ensnare enemies. These ...
The SIRSVIDE model developed by Professor Jian Lu's research group provides a comprehensive framework for studying viral epidemiology and evolutionary dynamics. The simulation results reveal that ...
Scientists have developed an innovative antibody platform aimed at tackling one of the greatest challenges in treating rapidly evolving viruses like SARS-CoV-2: their ability to mutate and evade ...
Understanding the mutation and evolution of viruses (such as SARS-CoV-2) is crucial for effective public health management and response. Traditional epidemiological models often assume that viral ...
New computational modeling of avian influenza variants' immunoprotein interactions—developed by a research team at the University of North Carolina at Charlotte—reveals the H5N1 influenza virus is ...
Many viruses, particularly RNA viruses, mutate at a very high rate per genome per replication. One possible explanation is that high mutation rates are selected to meet the challenge of fluctuating ...
Researchers have developed EVE-Vax, a computational design tool that creates synthetic SARS-CoV-2 spike proteins mimicking future immune-evading variants. These designed proteins enable early ...
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