Keywords
Systems biologyComputer scienceSystems medicineSynthetic biologyModular designModelling biological systemsRobustness (evolution)Computational modelManagement scienceData scienceComputational biologyBiologyArtificial intelligenceEngineering
Affiliated Institutions
Related Publications
Designing biological systems
The design of artificial biological systems and the understanding of their natural counterparts are key objectives of the emerging discipline of synthetic biology. Toward both e...
SWISS-MODEL: homology modelling of protein structures and complexes
Homology modelling has matured into an important technique in structural biology, significantly contributing to narrowing the gap between known protein sequences and experimenta...
The NCBI BioSystems database
The NCBI BioSystems database, found at http://www.ncbi.nlm.nih.gov/biosystems/, centralizes and cross-links existing biological systems databases, increasing their utility and t...
Engineering BioBrick vectors from BioBrick parts
We extended the principles of part reuse and standardization to BioBrick vectors. As a result, myriad new BioBrick vectors can be readily produced from all existing and newly de...
Publication Info
- Year
- 2002
- Type
- review
- Volume
- 420
- Issue
- 6912
- Pages
- 206-210
- Citations
- 2220
- Access
- Closed
External Links
Social Impact
Altmetric
PlumX Metrics
Social media, news, blog, policy document mentions
Citation Metrics
2220
OpenAlex
Cite This
Hiroaki Kitano
(2002).
Computational systems biology.
Nature
, 420
(6912)
, 206-210.
https://doi.org/10.1038/nature01254
Identifiers
- DOI
- 10.1038/nature01254