ArticleScience (New York, N.Y.)2025
Evolutionary-scale enzymology enables exploration of a rugged catalytic landscape.
Article in Science (New York, N.Y.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
16 citing papers in PubMed.
- Predicting Enzyme Turnover Numbers and Enabling Rational Enzyme Evolution.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Cold-adapted RNA polymerase fromProceedings of the National Academy of Sciences of the United States of America · 2026Article
- Rank-guided learning accelerates automated enzyme engineering.Nature communications · 2026Article
- EPIC: A Machine-Learning Framework for Product-Dependent Behavior in β‑Glucosidases.ACS omega · 2026Article
- Large field of view fluorescence imaging of microfluidic devices with a tandem-lens macroscope.Lab on a chip · 2026Article
- Biophysical trade-offs in antibody evolution are resolved by conformation-mediated epistasis.bioRxiv : the preprint server for biology · 2026Article
- Free energy perturbations in enzyme kinetic models reveal cryptic epistasis.PLoS computational biology · 2026Article
- Coupling high-throughput protease enzymology with viral replication reveals biochemical constraints of viral fitness.bioRxiv : the preprint server for biology · 2026Article
- Advances in Machine Learning Models for Predicting Enzyme Kinetic Parameters.Journal of chemical information and modeling · 2026Review
- Evolutionary Reasoning Does Not Arise in Standard Usage of Protein Language Models.bioRxiv : the preprint server for biology · 2025Article
- Limitations of current machine learning models in predicting enzymatic functions for uncharacterized proteins.G3 (Bethesda, Md.) · 2025Article
- Changes in flexibility but not in compactness underlie the thermal adaptation of prokaryotic adenylate kinases.Evolution letters · 2025Article
- The Role of AI-Driven De Novo Protein Design in the Exploration of the Protein Functional Universe.Biology · 2025Review
- Finding the dark matter: Large language model-based enzyme kinetic data extractor and its validation.Protein science : a publication of the Protein Society · 2025Article
- A combinatorial mutational map of active non-native protein kinases by deep learning guided sequence design.bioRxiv : the preprint server for biology · 2025Article
- Evolutionary-scale enzymology enables exploration of a rugged catalytic landscape.Science (New York, N.Y.) · 2025Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
Quantitatively mapping enzyme sequence-catalysis landscapes remains a critical challenge in understanding enzyme function, evolution, and design. In this study, we leveraged emerging microfluidic technology to measure catalytic constants-
Indexed as
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.