Computational Methods in Synthetic Biology
A special issue of Biology (ISSN 2079-7737).
Deadline for manuscript submissions: closed (15 April 2021) | Viewed by 9032
Interests: algebraic logic; artificial intelligence; bioinformatics; biostatistics; concurrency; formal languages; formal methods; mathematical biology; mathematics and computer science; modeling and simulation; programming languages; proof theory; stochastic simulation; synthetic biology; systems biology
The field of synthetic biology has witnessed a rapid transformation from being the academic stage of a sci-fi story to industrial reality. In a melting pot of biology and quantitative sciences, the joint effort in this field has been giving rise to methodologies for designing living technologies. The resulting modified organisms yield products that ordinarily depend on petrochemicals, e.g., fuels, plastic, and cosmetics. Others can be used for purifying greywater or generating electricity. Within the last decade, many companies have been emerging to harness the developments in organism engineering, backed up by numerous research groups around the world.
Very much like in the early days of other engineering fields, the early progress in synthetic biology was shaped by collections of test-cases. Yet, in the way that computer-aided design became an essential element of mature engineering disciplines, the prospects of synthetic technologies call for computational methods for containing and accelerating the progress. Due to the close proximity to systems biology, computational methods are now common in this field as well. Consequently, synthetic biology is starting to benefit from advances in computational methods. In particular, computational methods can be used to assist with and guide a variety of tasks, including modelling and simulation, circuit design, lab automation, and data analysis, to name a few.
This Special Issue welcomes the submission of original research and review manuscripts focusing on computational aspects of synthetic biology as well as specific quantitative technologies that address various aspects of organism engineering. The resulting Special Issue will provide an overview of the role of computational methods in this exciting and interdisciplinary field.
Dr. Ozan Kahramanoğulları
Prof. Dr. James Lynch
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- Synthetic biology
- Systems biology
- Modelling and simulation
- Computer-aided design
- Machine learning
- Synthetic circuit design
- Nucleic acid computation
- Stochasticity and noise