An evolution-based model for designing chorismate mutase enzymes

Russ, William P., Figliuzzi, Matteo, Stocker, Christian, Barrat-Charlaix, Pierre, Socolich, Michael, Kast, Peter, Hilvert, Donald, Monasson, Remi +3 more·2020·Science

Cited by (314)

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  17. Identification of coevolving positions by ancestral reconstruction
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  18. PRO‐LDM: A Conditional Latent Diffusion Model for Protein Sequence Design and Functional Optimization
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  19. Considering Metabolic Context in Enzyme Evolution and Design
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  21. A Comprehensive Review of Transformer-Based Language Models for Protein Sequence Analysis and Design
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  22. Origins and breadth of pairwise epistasis in an α-helix of β-lactamase TEM-1
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  23. Descent from a common ancestor restricts exploration of protein sequence space
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  47. Disentanglement of Entropy and Coevolution using Spectral Regularization
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  48. Co-evolution integrated deep learning framework for variants generation and fitness prediction
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  49. Learning to Read and Write in the Language of Proteins
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  51. From Scarce Functional Labels to Label-Aware Generation in Homologous Protein Families
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  56. Out-of-Equilibrium Selection Pressure Enhances Inference from Protein Sequence Data
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  58. Peer Review #1 of "Navigating the amino acid sequence space between functional proteins using a deep learning framework (v0.1)"
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  62. Supervised learning: classification with neural networks
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  63. Preface
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  64. Copyrigt Page
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  66. Priors, regularisation, sparsity
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