ArticleFrontiers in physiology2013
Systems approaches for synthetic biology: a pathway toward mammalian design.
Article in Frontiers in physiology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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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.
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Who cites it
4 citing papers in PubMed.
- NF-kB in Signaling Patterns and Its Temporal Dynamics Encode/Decode Human Diseases.Life (Basel, Switzerland) · 2022Review
- Potential and Therapeutic Roles of Diosmin in Human Diseases.Biomedicines · 2022Review
- Mammalian synthetic biology for studying the cell.The Journal of cell biology · 2017Review
- The billion cell construct: will three-dimensional printing get us there?PLoS biology · 2014Article
Corrections and comments
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Authors and funding
2 authors.
Funding
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Abstract
We review methods of understanding cellular interactions through computation in order to guide the synthetic design of mammalian cells for translational applications, such as regenerative medicine and cancer therapies. In doing so, we argue that the challenges of engineering mammalian cells provide a prime opportunity to leverage advances in computational systems biology. We support this claim systematically, by addressing each of the principal challenges to existing synthetic bioengineering approaches-stochasticity, complexity, and scale-with specific methods and paradigms in systems biology. Moreover, we characterize a key set of diverse computational techniques, including agent-based modeling, Bayesian network analysis, graph theory, and Gillespie simulations, with specific utility toward synthetic biology. Lastly, we examine the mammalian applications of synthetic biology for medicine and health, and how computational systems biology can aid in the continued development of these applications.
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Registered trials
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