0000000000520645

AUTHOR

Angel Goñi-moreno

0000-0002-2097-2507

showing 2 related works from this author

The long journey towards standards for engineering biosystems: Are the Molecular Biology and the Biotech communities ready to standardise?

2020

Standards are the basis of technology: they allow rigorous description and exact measurement of properties, reliable reproducibility and a common “language” that enables different communities to work together. Molecular biology was in part created by physicists; yet, the field did not inherit the focus on the quantitation, the definition of system boundaries and the robust, unequivocal language that is characteristic of the other natural sciences. However, synthetic biology (SynBio) increasingly requires scientific, technical, operational and semantic standards for the field to become a full‐fledged engineering discipline with a high level of accuracy in the design, manufacturing and perfor…

0303 health sciencesEngineeringbusiness.industryManagement science0601 Biochemistry and Cell BiologyBiochemistry03 medical and health sciencesSynthetic biology0302 clinical medicineOrder (business)GeneticsComputingMethodologies_GENERALbusinessMolecular Biology030217 neurology & neurosurgeryDevelopmental Biology030304 developmental biology
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High-Performance Biocomputing in Synthetic Biology-Integrated Transcriptional and Metabolic Circuits

2019

Biocomputing uses molecular biology parts as the hardware to implement computational devices. By following pre-defined rules, often hard-coded into biological systems, these devices are able to process inputs and return outputs-thus computing information. Key to the success of any biocomputing endeavor is the availability of a wealth of molecular tools and biological motifs from which functional devices can be assembled. Synthetic biology is a fabulous playground for such purpose, offering numerous genetic parts that allow for the rational engineering of genetic circuits that mimic the behavior of electronic functions, such as logic gates. A grand challenge, as far as biocomputing is concer…

0301 basic medicineHistologyComputer scienceProcess (engineering)lcsh:BiotechnologyBiomedical EngineeringBioengineering02 engineering and technologyField (computer science)Metabolic engineering03 medical and health sciencesSynthetic biologygenetic circuitslcsh:TP248.13-248.65ConceptualizationIntersection (set theory)business.industryBioengineering and Biotechnologybiocomputing021001 nanoscience & nanotechnologyboolean logic030104 developmental biologyPerspectiveKey (cryptography)metabolic networkssynthetic biology0210 nano-technologySoftware engineeringbusinessmetabolic engineeringHost (network)Biotechnology
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