August’s Best Open Access Synthetic Biology Journal Articles
Posted 8th September 2017 by Jane Williams
Isn’t it frustrating when you follow a great piece of research back to the publisher, but can’t read it? We’ve compiled 7 of the best synthetic biology journal articles of August and better yet, they’re open access.
1. Spacial dynamics of synthetic microbial mutualists and their parasites, PLOS Computational Biology
Hypercycles are examined through using engineered synthetic cooperative strains of microbes that grow and interact in a cell culture either in the presence or absence of synthetic parasitic strains.
Following the first de novo synthesis of an orthopoxvirus – a group that includes horsepox and the variola virus – biosecurity and the potential threat to global health security is discussed.
3. Model-based design of RNA hybridization networks implemented in living cells, Nucleic Acids Research
A novel strategy for implementing networks that exploit hybridisation reactions carried out by small RNAs that are both targets of and triggers for other sRNAs.
4. Safe-by-design: from safety to responsibility, NanoEthics
The safety of technology depends on the behaviour of the user but by designing out the user, opportunities may be missed. Ways to decide how to share and distribute responsibility for safety through design are presented.
5. A symbiotic-like biologically-driven regenerating fabric, Nature Scientific Reports
Fabric is integrated with a bacterial biofilm in order to form a symbiotic relationship in which the biofilm is provided with structure and support, and the fabric with regenerative properties.
6. Performance of objective functions and optimisation procedures for parameter estimation in system biology models, NPJ Systems Biology and Applications
An investigation into how the number of unknown parameters affects the convergence of three frequently used optimisation algorithms and four objective functions in system and synthetic biology.
How recent advances in tuneable synthetic degradation can be used to decouple the frequency and amplitude modulation in synthetic genetic oscillators, illustrated through computational re-designs.
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