Special Issue "Computational Synthetic Biology"
Deadline for manuscript submissions: closed (14 December 2018) | Viewed by 16740
Interests: systems identification of biological networks; computer-aided design in synthetic biology; optimality principles in biological systems; dynamics and optimal control of biosystems
Interests: in vivo identification and control of biological systems; microfluidics; cyberphysical systems
Synthetic biology has witnessed phenomenal progress: In a little over a decade it has evolved from demonstrating proof-of-concept gene circuits in bacteria, to developing a whole new class of cell factories able to produce compounds that would otherwise been prohibitively costly and/or unsustainable to obtain, e.g., squalene.
However, despite a thriving community and some notable successes, the basic task of assembling a predictable gene network from biomolecular parts is still a key challenge; it often takes many months to produce a gene circuit with the desired behavior. Mathematical models, and Model-Based Systems Engineering methods, offer a unique opportunity to address this issue and change fundamental procedures in Synthetic Biology.
The central hypothesis is that we should be able to apply model-based methods and tools to enable the rational development of novel biosystems. However, despite its potentially disruptive impact on many sectors (including industrial biotechnology, medicine, drug development, bioremediation and energy) and several significant advances, many challenges still remain.
This Special Issue on “Computational Synthetic Biology” aims to (i) review recent progress and/or (ii) report novel advances in the development and application of computational modeling to synthetic biology.
Contributions touching, but not limited to, the following topics are welcome:
- Abstraction and multi-scale modelling (e.g., microbial consortia) in synthetic biology;
- System identification and control methods in synthetic biology;
- Biophysical and soft computing approaches to modelling biological dynamics;
- Bio-design Automation and, in general, computer aided design of synthetic parts;
- Standards in modelling of biological parts;
- Software tools and workflows in synthetic biology.
Prof. Dr. Julio R. Banga
Dr. Filippo Menolascina
Manuscript Submission Information
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- synthetic biology
- control theory
- system identification
- computer-aided design
- biological parts
- software tools