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Toward Full-Stack In Silico Synthetic Biology: Integrating Model Specification, Simulation, Verification, and Biological Compilation

Konur, Savas; Mierla, Laurentiu; Fellermann, Harold; Ladroue, Christophe; Brown, Bradley; Wipat, Anil; Twycross, Jamie; Dun, Boyang Peter; Kalvala, Sara; Gheorghe, Marian; Krasnogor, Natalio

Toward Full-Stack In Silico Synthetic Biology: Integrating Model Specification, Simulation, Verification, and Biological Compilation Thumbnail


Authors

Savas Konur

Laurentiu Mierla

Harold Fellermann

Christophe Ladroue

Bradley Brown

Anil Wipat

Boyang Peter Dun

Sara Kalvala

Marian Gheorghe

Natalio Krasnogor



Abstract

We present the Infobiotics Workbench (IBW), a user-friendly, scalable, and integrated computational environment for the computer-aided design of synthetic biological systems. It supports an iterative workflow that begins with specification of the desired synthetic system, followed by simulation and verification of the system in high-performance environments and ending with the eventual compilation of the system specification into suitable genetic constructs. IBW integrates modeling, simulation, verification, and biocompilation features into a single software suite. This integration is achieved through a new domain-specific biological programming language, the Infobiotics Language (IBL), which tightly combines these different aspects of in silico synthetic biology into a full-stack integrated development environment. Unlike existing synthetic biology modeling or specification languages, IBL uniquely blends modeling, verification, and biocompilation statements into a single file. This allows biologists to incorporate design constraints within the specification file rather than using decoupled and independent formalisms for different in silico analyses. This novel approach offers seamless interoperability across different tools as well as compatibility with SBOL and SBML frameworks and removes the burden of doing manual translations for standalone applications. We demonstrate the features, usability, and effectiveness of IBW and IBL using well-established synthetic biological circuits.

Citation

Konur, S., Mierla, L., Fellermann, H., Ladroue, C., Brown, B., Wipat, A., Twycross, J., Dun, B. P., Kalvala, S., Gheorghe, M., & Krasnogor, N. (2021). Toward Full-Stack In Silico Synthetic Biology: Integrating Model Specification, Simulation, Verification, and Biological Compilation. ACS Synthetic Biology, 10(8), 1931-1945. https://doi.org/10.1021/acssynbio.1c00143

Journal Article Type Article
Acceptance Date Aug 2, 2021
Online Publication Date Aug 2, 2021
Publication Date Aug 20, 2021
Deposit Date Mar 31, 2025
Publicly Available Date Apr 3, 2025
Journal ACS Synthetic Biology
Electronic ISSN 2161-5063
Publisher American Chemical Society
Peer Reviewed Peer Reviewed
Volume 10
Issue 8
Pages 1931-1945
DOI https://doi.org/10.1021/acssynbio.1c00143
Keywords Algorithms; Circuits; Genetics; Imaging probes; Molecules
Public URL https://nottingham-repository.worktribe.com/output/20554331
Publisher URL https://pubs.acs.org/doi/10.1021/acssynbio.1c00143

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