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Identificación e ingeniería de proteasas de potyvirus altamente funcionales en células utilizando modelos

Medel B Lim Suan¹, Cheyenne Ziegler², Zain Syed²

¹Department of Bioengineering, The University of Texas at Dallas, Richardson, TX, USA.

Nature communications

|February 26, 2026

Abstract:

Efficiency and substrate specificity of proteases in the Potyviridae family have not been comprehensively profiled. Here we develop a model that learns co-evolutionary features to accurately predict and experimentally validate protease performance at single amino-acid resolution. We identify and engineer several proteases that perform better than the commercially available tobacco etch virus protease. To demonstrate the resolving power of our methods, we engineer protease crosstalk to selectively trigger a synthetic cell-death program in human cells.

Palabras clave:

proteasas de potyvirus ingeniería de proteínas modelos coevolutivos muerte celular virología biología molecular

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