A new artificial intelligence-powered tool can help researchers determine how well an enzyme fits with a desired target, helping them find the best enzyme and substrate combination for applications ...

An approach that identifies, and predicts compatibility between, chemical and enzyme-sequence spaces can streamline and reduce risk in the discovery of enzymes that can catalyse a desired reaction.

Researchers at the University created an artificial intelligence model named EZSpecificity to test how well certain enzymes and substrates bind to each other. Huimin Zhao and Diwakar Shukla, ...

A research team maps the key tasks that define modern enzyme engineering—function annotation, structure modeling, and property prediction—and explain how AI methods now accelerate each step, from ...

Enzymes are biological catalysts that speed up chemical reactions in living organisms. They are essential for life, as they play a crucial role in various biological processes, such as digestion, ...