ReviewProceedings of the National Academy of Sciences of the United States of America2019
Closed-loop cycles of experiment design, execution, and learning accelerate systems biology model development in yeast.
Review in Proceedings of the National Academy of Sciences of the United States of America, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
What it found
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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
15 citing papers in PubMed.
- Bridging electron microscopy and materials analysis with an autonomous agentic platform.Science advances · 2026Article
- Autonomous 'self-driving' laboratories: a review of technology and policy implications.Royal Society open science · 2025Review
- Automating the practice of science: Opportunities, challenges, and implications.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Emerging technologies and current challenges in intratumoral microbiota research.Frontiers in cellular and infection microbiology · 2025Review
- AutonoMS: Automated Ion Mobility Metabolomic Fingerprinting.Journal of the American Society for Mass Spectrometry · 2024Article
- An architecture for collaboration in systems biology at the age of the Metaverse.NPJ systems biology and applications · 2024Article
- From beer to breadboards: yeast as a force for biological innovation.Genome biology · 2024Review
- Transporter annotations are holding up progress in metabolic modeling.Frontiers in systems biology · 2024Article
- Self-driving laboratories to autonomously navigate the protein fitness landscape.Nature chemical engineering · 2024Article
- BacterAI maps microbial metabolism without prior knowledge.Nature microbiology · 2023Article
- High-throughput metabolomics for the design and validation of a diauxic shift model.NPJ systems biology and applications · 2023Article
- Genesis-DB: a database for autonomous laboratory systems.Bioinformatics advances · 2023Article
- Machine learning alternative to systems biology should not solely depend on data.Briefings in bioinformatics · 2022Article
- Cell Line-Specific Network Models of ERCancer research · 2021Article
- Synthesis of Programmable Bioelectronic Yeast for Biohybrid Futures.Engineering biologyReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors.
Funding
Abstract
One of the most challenging tasks in modern science is the development of systems biology models: Existing models are often very complex but generally have low predictive performance. The construction of high-fidelity models will require hundreds/thousands of cycles of model improvement, yet few current systems biology research studies complete even a single cycle. We combined multiple software tools with integrated laboratory robotics to execute three cycles of model improvement of the prototypical eukaryotic cellular transformation, the yeast (
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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.