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References from Katalyst: knowledge-guided semantic alignment via contrastive learning for enzyme turnover prediction. Local targets link to admitted publications; unresolved targets remain external evidence.
MTMol-GPT: de novo multi-target molecular generation with transformer-based generative adversarial imitation learning
10.1371/journal.pcbi.1012229 · 2024 · External reference
Unresolved reference
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The moderately efficient enzyme: evolutionary and physicochemical trends shaping enzyme parameters
10.1021/bi2002289 · 2011 · External reference
A note on the kinetics of enzyme action
10.1042/bj0190338 · 1925 · External reference
Cutting the Gordian knot: the moving-average type–token ratio (MATTR)
10.1080/09296171003643098 · 2010 · External reference
Synthetic biology for the directed evolution of protein biocatalysts: navigating sequence space intelligently
10.1039/c4cs00351a · 2015 · External reference
Global characterization of in vivo enzyme catalytic rates and their correspondence to in vitro k cat measurements
10.1073/pnas.1514240113 · 2016 · External reference
Prottrans: toward understanding the language of life through self-supervised learning
10.1109/tpami.2021.3095381 · 2022 · External reference
Domain-specific language model pretraining for biomedical natural language processing
10.1145/3458754 · 2022 · External reference
Unresolved reference
2019 · External reference
Unresolved reference
2025 · External reference
Unresolved reference
2025 · External reference
ImageNet classification with deep convolutional neural networks
2012 · External reference
Turnover number predictions for kinetically uncharacterized enzymes using machine and deep learning
10.1038/s41467-023-39840-4 · 2023 · External reference
Directed evolution of enzyme catalysts
10.1016/s0167-7799(97)01138-4 · 1997 · External reference
Semantic similarity and machine learning with ontologies
10.1093/bib/bbaa199 · 2021 · External reference
Deep learning-based kcat prediction enables improved enzyme-constrained model reconstruction
10.1038/s41929-022-00798-z · 2022 · External reference
BACPI: a bi-directional attention neural network for compound–protein interaction and binding affinity prediction
10.1093/bioinformatics/btac035 · 2022 · External reference
Evolutionary-scale prediction of atomic-level protein structure with a language model
10.1126/science.ade2574 · 2023 · External reference
MVML-MPI: multi-view multi-label learning for metabolic pathway inference
10.1093/bib/bbad393 · 2023 · External reference
Refprogen: a reference-guided molecular generation model with protein-ligand joint representation for property-aware drug design
10.1016/j.eswa.2026.131230 · 2026 · External reference
HyperPhS: a pharmacophore-guided multimodal representation framework for metabolic stability prediction through contrastive hypergraph learning
10.1093/bioinformatics/btaf524 · 2025 · External reference
Unresolved reference
2022 · External reference
UniProt knowledgebase: a hub of integrated protein data
10.1093/database/bar009 · 2011 · External reference
Unresolved reference
2018 · External reference
DLTKcat: deep learning-based prediction of temperature-dependent enzyme turnover rates
10.1093/bib/bbad506 · 2023 · External reference
Biological structure and function emerge from scaling unsupervised learning to 250 million protein sequences
10.1073/pnas.2016239118 · 2021 · External reference
Improving the phenotype predictions of a yeast genome-scale metabolic model by incorporating enzymatic constraints
10.15252/msb.20167411 · 2017 · External reference
The graph neural network model
10.1109/tnn.2008.2005605 · 2009 · External reference
The BRENDA enzyme information system—from a database to an expert system
10.1016/j.jbiotec.2017.04.020 · 2017 · External reference
EITLEM-kinetics: a deep-learning framework for kinetic parameter prediction of mutant enzymes
10.1016/j.checat.2024.101094 · 2024 · External reference
A guide to enzyme kinetics in early drug discovery
10.1111/febs.16404 · 2023 · External reference
A multimodal deep learning framework for enzyme turnover prediction with missing modality
10.1016/j.compbiomed.2025.110348 · 2025 · External reference
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Opportunities and challenges for ChatGpt and large language models in biomedicine and health
10.1093/bib/bbad493 · 2024 · External reference
Attention is all you need
2017 · External reference
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Unresolved reference
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Smiles, a chemical language and information system. 1. Introduction to methodology and encoding rules
10.1021/ci00057a005 · 1988 · External reference
SABIO-RK: an updated resource for manually curated biochemical reaction kinetics
10.1093/nar/gkx1065 · 2018 · External reference
The depth of chemical time and the power of enzymes as catalysts
10.1021/ar000058i · 2001 · External reference
Proteinmcp: an agentic AI framework for autonomous protein engineering
10.1002/pro.70547 · 2026 · External reference
Unresolved reference
2025 · External reference
UniKP: a unified framework for the prediction of enzyme kinetic parameters
10.1038/s41467-023-44113-1 · 2023 · External reference
Instruction tuning for large language models: a survey
10.1145/3777411 · 2026 · External reference
Context-informed subgraph foundation models enable interpretable protein-function prediction
10.1016/j.cels.2026.101535 · 2026 · External reference
