Coupling high-throughput protease enzymology with viral replication reveals biochemical constraints of viral fitness

Proteases govern essential biological processes and are key drug targets, yet how protease sequence variation quantitatively reshapes biochemical parameters and constrains biological fitness remains poorly understood. Here, we integrate high-throughput <i>in vitro</i> enzymology with cellular assays to link protease sequence, biochemistry, and fitness. We extend a microfluidic platform for high-throughput protease enzymology (HT-MEK<sup>pro</sup>), which is broadly applicable across protease families and catalytic classes, enabling measurement of catalytic turnover (<i>k</i> <sub>cat</sub>), Michaelis constant (<i>K</i> <sub>M</sub>), inhibitor potency (IC<sub>50</sub>), and relative substrate specificity for 10<sup>2</sup>-10<sup>3</sup> variants. Applied to the SARS-CoV-2 main protease (M<sup>pro</sup>), HT-MEK<sup>pro</sup> generated parallel catalytic and inhibitory landscapes for >400 variants. Integration with viral replication and in-cell cleavage assays reveals that variants with altered substrate specificity fail to support replication, suggesting imbalanced polyprotein processing as a constraint on viral fitness. More broadly, these data can enable mechanistically grounded modeling of protease sequence-property relationships and inform strategies for pharmacological modulation beyond active-site inhibition.

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Journal
bioRxiv (Cold Spring Harbor Laboratory)
Published
2026-01-28
DOI
https://doi.org/10.64898/2026.01.27.702130
Primary Topic
Computational Drug Discovery Methods
Type
article
Field-Weighted Citation Impact
0.00

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article

Coupling high-throughput protease enzymology with viral replication reveals biochemical constraints of viral fitness

Dashiell Anderson, Nicholas Freitas, Judge Posner, Nicholas J. Young et al.
bioRxiv (Cold Spring Harbor Laboratory)
Computational Drug Discovery Methods
article

Coupling high-throughput protease enzymology with viral replication reveals biochemical constraints of viral fitness

Dashiell Anderson, Nicholas Freitas, Judge Posner, Nicholas J. Young, Taha Y. Taha, Margaux M. Pinney, Duncan F. Muir, Julia Rosecrans, Garrison P. R. Asper, Anna Kurianowicz, Melanie Ott, William Vinh Thanh Vo, Shih-Wei Chuo, Dylan Aidlen, Charles S. Craik
article en

Abstract

Proteases govern essential biological processes and are key drug targets, yet how protease sequence variation quantitatively reshapes biochemical parameters and constrains biological fitness remains poorly understood. Here, we integrate high-throughput <i>in vitro</i> enzymology with cellular assays to link protease sequence, biochemistry, and fitness. We extend a microfluidic platform for high-throughput protease enzymology (HT-MEK<sup>pro</sup>), which is broadly applicable across protease families and catalytic classes, enabling measurement of catalytic turnover (<i>k</i> <sub>cat</sub>), Michaelis constant (<i>K</i> <sub>M</sub>), inhibitor potency (IC<sub>50</sub>), and relative substrate specificity for 10<sup>2</sup>-10<sup>3</sup> variants. Applied to the SARS-CoV-2 main protease (M<sup>pro</sup>), HT-MEK<sup>pro</sup> generated parallel catalytic and inhibitory landscapes for >400 variants. Integration with viral replication and in-cell cleavage assays reveals that variants with altered substrate specificity fail to support replication, suggesting imbalanced polyprotein processing as a constraint on viral fitness. More broadly, these data can enable mechanistically grounded modeling of protease sequence-property relationships and inform strategies for pharmacological modulation beyond active-site inhibition.

bioRxiv (Cold Spring Harbor Laboratory)
Gladstone Institutes (US), University of California, San Francisco (US), University of California, Berkeley (US)
American Foundation for Pharmaceutical Education, Roddenberry Foundation, James B. Pendleton Charitable Trust, Valhalla Foundation, National Institutes of Health
Openalex Percentile: Top 71%
Computational Drug Discovery Methods
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