Harnessing generative AI to decode enzyme catalysis and evolution for enhanced engineering

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Large language models generate functional protein sequences across diverse families

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Protein structure prediction from sequence variation

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Deep generative models of genetic variation capture the effects of mutations

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Electric Fields and Enzyme Catalysis

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Illuminating protein space with a programmable generative model

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CCMpred—fast and precise prediction of protein residue–residue contacts from correlated mutations

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Machine Learning in Enzyme Engineering

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Expanding functional protein sequence spaces using generative adversarial networks

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Learning the language of viral evolution and escape

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A Comprehensive, High-Resolution Map of a Gene’s Fitness Landscape

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An evolution-based model for designing chorismate mutase enzymes

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Coevolutionary Landscape Inference and the Context-Dependence of Mutations in Beta-Lactamase TEM-1

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Multiscale Modeling of Biological Functions: From Enzymes to Molecular Machines (Nobel Lecture)

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DeepDDG: Predicting the Stability Change of Protein Point Mutations Using Neural Networks

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Revealing enzyme functional architecture via high-throughput microfluidic enzyme kinetics

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Learning protein fitness models from evolutionary and assay-labeled data

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Generating functional protein variants with variational autoencoders

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Defying the activity–stability trade-off in enzymes: taking advantage of entropy to enhance activity and thermostability

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Controllable protein design with language models

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ECNet is an evolutionary context-integrated deep learning framework for protein engineering

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How Pairwise Coevolutionary Models Capture the Collective Residue Variability in Proteins?

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Machine learning to navigate fitness landscapes for protein engineering

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Therapeutic enzyme engineering using a generative neural network

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Engineering stable carbonic anhydrases for CO2 capture: a critical review

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AI-assisted food enzymes design and engineering: a critical review

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Natural Evolution Provides Strong Hints about Laboratory Evolution of Designer Enzymes

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