ArticleNature2025
The Virtual Lab of AI agents designs new SARS-CoV-2 nanobodies.
Article in Nature, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 77 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
77 citing papers in PubMed.
- Rethinking non-human primate models for emerging viral infections after COVID-19.Laboratory animal research · 2026Review
- Unlocking Sensitive Data with SPHERE in the Age of AI.bioRxiv : the preprint server for biology · 2026Article
- Article
- Reimagining computational macromolecular modeling: AI-driven approaches.Biophysical journal · 2026Review
- New approach methodologies (NAMs) for preclinical and translational evaluation of mRNA-lipid nanoparticle (LNP) therapeutics.Journal of controlled release : official journal of the Controlled Release Society · 2026Review
- Expanding Quantitative Medicines' Reach: Systems and Methods to Enhance R&D Productivity and Decision-Making in the Agentic-Era.Clinical and translational science · 2026Article
- Article
- ELISA (Embedding-Linked Interactive Single-cell Agent): an interpretable hybrid generative Artificial Intelligence agent for expression-grounded discovery in single-cell genomics.Briefings in bioinformatics · 2026Article
- The rise of large language models and the direction and impact of US federal research funding.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- HealthFlow: automating electronic health record analysis via a strategically self-evolving multi-agent framework.NPJ digital medicine · 2026Article
- Large reasoning models as thinking machines for medicine.Nature biomedical engineering · 2026Review
- Toward generalizable and interpretable AI in regulatory genomics.Nature genetics · 2026Review
- Hematopoietic stem cell aging: a review of transcriptional and multi-omics insights and potential paths for AI integration.Experimental & molecular medicine · 2026Review
- Article
- Unleashing innovative cross-organ fibrosis therapies by harnessing the omics revolution.JCI insight · 2026Review
- Empowering clinical trial design with agentic intelligence and real-world data.Nature communications · 2026Article
- Commentary on the fundamentals and development of artificial intelligence models in the life sciences and best research practices.Journal of computer-aided molecular design · 2026Article
- Empowering biomedical evidence exploration and synthesis with deep knowledge graph research.Nature machine intelligence · 2026Article
- AI systems devise hypotheses and ways to test them.Nature · 2026Article
- Artificial intelligence for food innovation.Nature food · 2026Review
17 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Science frequently benefits from teams of interdisciplinary researchers
Indexed as
Identifiers
40730228What 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.