AI & Tools
AI-Designed Enzymes Take on a Multistep Chemical Reaction
Researchers designed serine hydrolases around their catalytic machinery. The published results show why completing a reaction cycle matters as much as getting the fold right.
Explore EnzymeNews
AI & Tools
The models, databases and laboratory tools helping researchers understand and design enzymes.
8 results
AI & Tools
AlphaFold 3: Predicting How Biomolecules Fit Together
How do proteins fit together with DNA, RNA and smaller molecules? AlphaFold 3, introduced by Google DeepMind and Isomorphic Labs in May 2024, extends structure…
AI & Tools
DPI_CDF: Reading Protein Sequences for Drug-Target Clues
A cascade deep forest model reported strong performance at recognising proteins labelled as druggable. Its predictions can guide research, but still need biochemical and disease-specific…
AI & Tools
GraphKM Uses AI to Estimate How Enzymes Respond to Substrates
GraphKM uses enzyme sequences and substrate structures to estimate a key kinetic parameter. Its tests show promise, with important limits for laboratory use.
AI & Tools
DeepEvo Designs Enzymes That Keep Working in the Heat
A 2024 study combined AI sequence generation with laboratory tests to design heat-tolerant GAPDH enzymes. The results show both promising variants and the limits of…
Environment
Which Enzymes Break Down Plastic? PAZy Tracks the Evidence
The PAZy database helps researchers trace evidence for plastic-degrading enzymes, distinguish tested proteins from predictions and compare experimental conditions.
AI & Tools
How AI Learns from Evolution to Help Design Enzymes
Patterns in natural protein sequences can help models suggest enzyme changes. A review explains the opportunity, the limits of prediction and why experiments matter.
AI & Tools
AlphaFold 2 Opens a Window into Enzyme Structure
AlphaFold 2 helps researchers explore enzyme structures and plan experiments. Confidence scores and biological context determine what a prediction can usefully tell us.