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New Tool EZSpecificity Predicts Enzyme Specificity with 91.7% Accuracy

10/9/2025

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Summary

Story summary

EZSpecificity, developed by the University of Illinois researchers, predicts enzyme substrate specificity with 91.7% accuracy, outperforming ESP at 58.3%.
The tool relies on a comprehensive enzyme–substrate database and a new machine-learning algorithm, with docking simulations mapping interactions at the atomic level.
The project is funded by the U.S. National Science Foundation (NSF) and EZSpecificity is freely available online for predictions.

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Story summary

EZSpecificity, developed by the University of Illinois researchers, predicts enzyme substrate specificity with 91.7% accuracy, outperforming ESP at 58.3%.
The tool relies on a comprehensive enzyme–substrate database and a new machine-learning algorithm, with docking simulations mapping interactions at the atomic level.
The project is funded by the U.S. National Science Foundation (NSF) and EZSpecificity is freely available online for predictions.