BioCyc Support for Synthetic Biology and Metabolic Engineering
Accelerate Your SynBio Workflow
BioCyc supports the data and analytical needs of the synbio community across the synbio project life cycle:
- Integrated Chassis Data: High-fidelity databases for genomes, metabolic pathways, and regulation.
- Visual Exploration: Intuitive genome and pathway browsers for seamless navigation.
- Pathway Discovery: MetaCyc drives rapid expansive metabolic route searches.
- Strain Analytics: Powerful omics tools to characterize and optimize strain performance.
- EcoCyc -- Escherichia coli K-12 MG1655 -- curated from 45,000 publications
- BsubCyc -- Bacillus subtilis 168
- Pseudomonas putida KT2440
- Cupriavidus necator H16
- Vibrio natriegens ATCC 14048
- Synechococcus elongatus PCC 7942
- YeastCyc -- Saccharomyces cerevisiae S288c
- [uncurated] Yarrowia lipolytica CLIB122 and CLIB89(W29)
- [uncurated] Komagataella phaffii GS115
Other less commonly utilized chassis are among BioCyc's 20,000 databases.
Benefits for SynBio Researchers: Better Science, Faster.
Bad annotations in the public genome databases can undermine your experiments, publications, and grant proposals.
- BioCyc curators typically revise several hundred functional annotations for each organism we curate, giving an accurate foundation for decision making
- BioCyc performs a vast data integration to put diverse data at your fingertips
- Curators author mini-reviews that distill the literature on genes and pathways -- a huge time saver
Software Tools for Pathway Design and More: BioCyc provides more than 60 software tools, ranging from a genome browser to a metabolic network browser to unique tools for comparative analysis and omics data analysis. Key tools for synthetic biology:
- The RouteSearch
tool designs novel metabolic pathways -- given a starting metabolite
and an ending metabolite, RouteSearch finds a minimal-cost path from
the starting to the ending metabolite.
- Multiple tools enable exploration of metabolic networks, such as finding all reactions that produce or consume a specified metabolite, and graphically exploring a local region of the metabolic network.