The
continuous emergence of novel SARS-CoV-2 variants and subvariants
serves as compelling evidence that COVID-19 is an ongoing concern.
The swift, well-coordinated response to the pandemic highlights how
technological advancements can accelerate the detection, monitoring,
and treatment of the disease. Robust surveillance systems have been
established to understand the clinical characteristics of new variants,
although the unpredictable nature of these variants presents significant
challenges. Some variants have shown resistance to current treatments,
but innovative technologies like computational protein design (CPD)
offer promising solutions and versatile therapeutics against SARS-CoV-2.
Advances in computing power, coupled with open-source platforms like
AlphaFold and RFdiffusion (employing deep neural network and diffusion
generative models), among many others, have accelerated the design
of protein therapeutics with precise structures and intended functions.
CPD has played a pivotal role in developing peptide inhibitors, mini
proteins, protein mimics, decoy receptors, nanobodies, monoclonal
antibodies, identifying drug-resistance mutations, and even redesigning
native SARS-CoV-2 proteins. Pending regulatory approval, these designed
therapies hold the potential for a lasting impact on human health
and sustainability. As SARS-CoV-2 continues to evolve, use of such
technologies enables the ongoing development of alternative strategies,
thus equipping us for the “New Normal”.