Benenson, Yaakov ; Dalchau, Neil ; Koeppl, Heinz ; Maler, Oded (2024)
Formal Methods for the Synthesis of Biomolecular Circuits.
In: Dagstuhl Reports, 2018, 8 (2)
doi: 10.26083/tuprints-00026921
Article, Secondary publication, Publisher's Version
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Item Type: | Article |
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Type of entry: | Secondary publication |
Title: | Formal Methods for the Synthesis of Biomolecular Circuits |
Language: | English |
Date: | 30 April 2024 |
Place of Publication: | Darmstadt |
Year of primary publication: | 23 July 2018 |
Place of primary publication: | Wadern |
Publisher: | Schloss Dagstuhl |
Journal or Publication Title: | Dagstuhl Reports |
Volume of the journal: | 8 |
Issue Number: | 2 |
DOI: | 10.26083/tuprints-00026921 |
Corresponding Links: | |
Origin: | Secondary publication service |
Abstract: | This report documents the program and the outcomes of Dagstuhl Seminar 18082 "Formal Methods for the Synthesis of Biomolecular Circuits". Synthetic biology aims for the rational bottom-up engineering of new biological functionalities. Recent years have witnessed an increase in the degree of "rationality" in the design of synthetic biomolecular circuits. With it, fewer design-build-test cycles were necessary to achieve a desired circuit performance. Most of these success stories reported the realization of logic circuits, typically operating via regulation of gene expression and/or direct manipulation of DNA sequences with recombinases, executing combinatorial and sometimes sequential logic. This was often achieved with the help of two ingredients, a library of previously well-characterized parts and some computational modeling. Hence, although circuits in synthetic biology are still by far less understood and characterized than electronic circuits, the opportunity for the formal synthesis of circuit designs with respect to a behavioral specification starts to emerge in synthetic biology. |
Uncontrolled Keywords: | Synthetic biology, Electronic design automation, Program synthesis and verification |
Identification Number: | Seminar-ID: 18082 |
Status: | Publisher's Version |
URN: | urn:nbn:de:tuda-tuprints-269214 |
Classification DDC: | 000 Generalities, computers, information > 004 Computer science 500 Science and mathematics > 570 Life sciences, biology 600 Technology, medicine, applied sciences > 621.3 Electrical engineering, electronics |
Divisions: | 18 Department of Electrical Engineering and Information Technology > Institute for Telecommunications > Bioinspired Communication Systems 18 Department of Electrical Engineering and Information Technology > Self-Organizing Systems Lab |
Date Deposited: | 30 Apr 2024 09:20 |
Last Modified: | 08 Nov 2024 11:01 |
URI: | https://tuprints.ulb.tu-darmstadt.de/id/eprint/26921 |
PPN: | 520338995 |
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