Design
Model biological functions and compose genetic network designs.
Selected tools
- LOICA
University of Bristol, School of Engineering Mathematics and Technology
AI-aided biodesign platforms for
programming biological systems
We develop software, data, and automation workflows to engineer organisms with novel capabilities, from more nutritious and resilient crops to microbiome therapeutics.
Developing, Researching, and Architecting Genetic and GenOmic Networks
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J23101 promoter · 35 bp · idealized B-DNA model. Chain A, 5′-TTTACAGCTAGCTCAGTCCTAGGTATTATGCTAGC-3′. Chain B, 3′-AAATGTCGATCGAGTCAGGATCCATAATACGATCG-5′.
Programming biology with modern platforms
DRAGGON Lab builds AI-aided biodesign platforms that connect biological software foundations, autonomous laboratories, machine learning, digital twins, and genetic network engineering.
Explore all research01 Foundations05 Capabilities
- 01Biological Software FoundationsStandards, metadata, repositories, and open software infrastructure for reproducible programmable biology.
- 02Autonomous LaboratoriesAutonomous DBTL facilities that coordinate software, instruments, humanoid robots, samples, and learning over sustained experimental campaigns.
- 03AI-Aided BiodesignBiochemistry-informed hybrid models, graph learning, and foundation models for more predictable biological design.
- 04Digital Twins of Living SystemsAgent-based and biochemistry-informed simulations connecting engineered systems with cells, communities, hosts, and environments.
- 05Intelligent Genetic & Genomic NetworksGenetic and genomic network architectures for sensing, computing, decision-making, reporting, and adaptive biological behavior.
Infrastructure is at the core
A software ecosystem for the DBTL cycle
We build open source software, standards-enabled metadata, and FAIR data workflows so that biological engineering can become more reproducible, collaborative, and programmable.
DBTL Cycle
Select a workflow stage or the infrastructure core to reveal more information.
Build
Translate designs into reproducible assembly and automation plans.
Selected tools
- PUDU
- BuildCompiler
Test
Capture measurements, metadata, and characterization workflows.
Selected tools
- Flapjack
- Tricahue
Learn
Turn standardized results into datasets, models, and next designs.
Selected tools
- SeqTrainer
- AI/ML
Infrastructure
Standards, repositories, metadata, automation, and FAIR data across every stage.
Selected tools
- SynBioSuite
- SynBioHub
- SBOL
Engineering organisms with useful capabilities
Recent outputs
Publications
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Build open AI-aided biodesign platforms with us
We welcome prospective students, postdocs, collaborators, funders, open-source contributors, and technically curious partners interested in programmable biological systems.