ArticleNature2026
Computational design of metallohydrolases.
Article in Nature, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
17 citing papers in PubMed.
- Computational design of metalloproteases.Nature · 2026Article
- Design-Evolution Synergy Enables New-to-Nature Enzyme Chemistry.bioRxiv : the preprint server for biology · 2026Article
- Advances in amidases and urethanases as depolymerization biocatalysts.Nature chemical biology · 2026Review
- High-throughput physics-based enzyme engineering.bioRxiv : the preprint server for biology · 2026Article
- Cascade Catalysis for COACS central science · 2026Review
- Accelerating protein design by scaling experimental characterization.Nature communications · 2026Article
- Artificial Intelligence and Protein Design: A retrospective study on 20-year emerging trends and core research areas from bibliometric perspectives.Probiotics and antimicrobial proteins · 2026Article
- Zero-shot design of abioRxiv : the preprint server for biology · 2026Article
- Tools For Building Artificial Biological Nanostructures.ACS nano · 2026Review
- Simulating enzyme catalysis with electrostatically embedded machine learning potentials.Chemical science · 2026Article
- Protein engineering: status report.Protein engineering, design & selection : PEDS · 2026Review
- De novo design of protein nanoparticles with integrated functional motifs.bioRxiv : the preprint server for biology · 2026Article
- Atom-level enzyme active site scaffolding using RFdiffusion2.Nature methods · 2026Article
- Article
- The Role of AI-Driven De Novo Protein Design in the Exploration of the Protein Functional Universe.Biology · 2025Review
- De Novo Design of High-Performance Cortisol Luminescent Biosensors.Journal of the American Chemical Society · 2025Article
- Computational design of serine hydrolases.Science (New York, N.Y.) · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
16 authors.
Funding
Abstract
De novo enzyme design seeks to build proteins containing ideal active sites with catalytic residues surrounding and stabilizing the transition state(s) of the target chemical reaction
Indexed as
Identifiers
What OpenQuestion holds
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.