David Kreutter

Rapid and automated design of two-component protein nanomaterials using ProteinMPNN

Image and data mining in reticular chemistry powered by GPT-4V

Computational Stabilization of a Non‐Heme Iron Enzyme Enables Efficient Evolution of New Function

Augmenting large language models with chemistry tools

Machine Learning in Materials Chemistry: An Invitation

Organic reactivity from mechanism to machine learning

De novo design of buttressed loops for sculpting protein functions

Language models and protocol standardization guidelines for accelerating synthesis planning in heterogeneous catalysis

Controllable protein design with language models

Opportunities and Challenges for Machine Learning-Assisted Enzyme Engineering

Catalytic Asymmetric Hydroalkoxylation of C–C Multiple Bonds

ChatGPT Research Group for Optimizing the Crystallinity of MOFs and COFs

Mapping the space of chemical reactions using attention-based neural networks

Predicting enzymatic reactions with a molecular transformer