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Coupling high-throughput protease enzymology with viral replication reveals biochemical constraints of viral fitness
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Top 1% · Validated by QED

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

Dylan Aidlen, William Vinh Thanh Vo, Nicholas J. Young +12 more
January 2026
 ·
bioRxiv
 ·
DOI 
10.64898/2026.01.27.702130
94
%
Reproducible
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This paper passed independent validation.
QED's automated review checked the evidence supporting each claim, the statistical methods, and whether the results are reproducible from the data provided.

It ranks in the top 1% of preprints assessed in Biochemistry this quarter.
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Why this is interesting

By showing that viral fitness demands balanced cleavage across all polyprotein junctions—not merely active-site efficiency—and delivering a scalable enzymology platform to map these landscapes, this work reframes the sequence–function–fitness relationship for proteases.

Author perspective

What is the most important insight, discovery, or finding from your paper that you would like other scientists to know?
“

This preprint successfully extends an emerging method (HT-MEK) capable of high-throughput in-vitro enzymology to proteases, a challenging class of enzymes that necessitated extensive adaptations to the HT-MEK platform. To the best of our knowledge, this work generates the largest variant-resolved biochemical dataset for a viral protease to date (with matched measurements of k_cat, K_M, IC_50, and viral polyprotein junction-level substrate specificity across hundreds of variants in parallel and two inhibitors). We then directly linked this large scale in-vitro dataset to in-cell viral fitness assays which revealed that altered substrate specificity and disrupted proteolytic timing are key constraints on coronaviral fitness. Our results enable generation of a quantitative framework for how enzyme functional landscapes constrain evolution and drug response.

”
Margaux M. Pinney

QED claims analysis

Summary

High-throughput protease enzymology reveals that SARS-CoV-2 viral fitness is constrained not by single-substrate catalytic efficiency but by balanced polyprotein processing across all eleven cleavage junctions, where mutations that alter substrate specificity—even while maintaining or enhancing activity on individual sites—disrupt the coordinated release of nonstructural proteins and impair viral replication.

See full analysis
Main Claim 1 –

HT-MEKpro quantifies kcat, KM, and IC50 across variant libraries

Supporting evidence

  • HT-MEKpro kinetics and IC50 match plate-based assay measurements
  • HT-MEKpro generalizes across cysteine, serine, and metalloproteases
  • Mpro orthologs vary widely in catalysis and inhibitor sensitivity
  • HT-MEKpro data enable sequence-based machine learning of protease properties
Main Claim 2 –

Many Mpro mutations increase kcat/KM via diverse kinetic changes

Supporting evidence

  • kcat/KM correlates with growth assays, not single-substrate cellular readouts
Main Claim 3 –

Mpro resistance mutations span structure and shift IC50 orders of magnitude

Supporting evidence

  • Inhibitor chemotype shapes resistance, favoring broader covalent inhibition
Main Claim 4 –

Single-substrate catalytic efficiency poorly predicts SARS-CoV-2 replication

Supporting evidence

  • Clinical prevalence excludes low-activity variants yet defies kcat/KM prediction

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 in vitro enzymology with cellular assays to link protease sequence, biochemistry, and fitness. We extend a microfluidic platform for high-throughput protease enzymology (HT-MEKpro), which is broadly applicable across protease families and catalytic classes, enabling measurement of catalytic turnover (kcat), Michaelis constant (KM), inhibitor potency (IC50), and relative substrate specificity for 102-103 variants. Applied to the SARS-CoV-2 main protease (Mpro), HT-MEKpro 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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