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Enzymes, with their specific catalyzed reactions, are necessary for all aspects of life, enabling diverse biological processes and adaptations.
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eggnog 5.0: a hierarchical, functionally and phylogenetically annotated orthology resource based on 5090 organisms and 2502 viruses
J. Huerta-Cepas, D. Szklarczyk, D. Heller, A. Hernández-Plaza, S. K. Forslund, H. Cook, D. R. Mende, I. Letunic, T. Rattei, L. J. Jensen, et al · 2019
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Deep learning enables high-quality and high-throughput prediction of enzyme commission numbers
J. Y. Ryu, H. U. Kim, and S. Y. Lee · 2019
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Levenshtein distance, sequence comparison and biological database search
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Enzymes: a practical introduction to structure, mechanism, and data analysis
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Mudiff: Unified diffusion for complete molecule generation
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Structure-based drug design with geometric deep learning
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A general model to predict small molecule substrates of enzymes based on machine and deep learning
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Turnover number predictions for kinetically uncharacterized enzymes using machine and deep learning
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Evolutionary-scale prediction of atomic-level protein structure with a language model
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Saprot: protein language modeling with structure-aware vocabulary
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Fast and accurate protein structure search with foldseek
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Enzyme function prediction using contrastive learning
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Efficient and accurate large library ligand docking with karmadock
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Uni-mol: A universal 3d molecular representation learning framework
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Accurate structure prediction of biomolecular interactions with alphafold 3
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