Literature DB >> 34762797

Virtual Parts Repository 2: Model-Driven Design of Genetic Regulatory Circuits.

Göksel Mısırlı1, Bill Yang2, Katherine James3, Anil Wipat2.   

Abstract

Engineering genetic regulatory circuits is key to the creation of biological applications that are responsive to environmental changes. Computational models can assist in understanding especially large and complex circuits for which manual analysis is infeasible, permitting a model-driven design process. However, there are still few tools that offer the ability to simulate the system under design. One of the reasons for this is the lack of accessible model repositories or libraries that cater to the modular composition of models of synthetic systems. Here, we present the second version of the Virtual Parts Repository, a framework to facilitate the model-driven design of genetic regulatory circuits, which provides reusable, modular, and composable models. The new framework is service-oriented, easier to use in computational workflows, and provides several new features and access methods. New features include supporting hierarchical designs via a graph-based repository or compatible remote repositories, enriching existing designs, and using designs provided in Synthetic Biology Open Language documents to derive system-scale and hierarchical Systems Biology Markup Language models. We also present a reaction-based modeling abstraction inspired by rule-based modeling techniques to facilitate scalable and modular modeling of complex and large designs. This modeling abstraction enhances the modeling capability of the framework, for example, to incorporate design patterns such as roadblocking, distributed deployment of genetic circuits using plasmids, and cellular resource dependency. The framework and the modeling abstraction presented in this paper allow computational design tools to take advantage of computational simulations and ultimately help facilitate more predictable applications.

Entities:  

Keywords:  computational simulation; genetic circuits; genetic design automation; model-driven design; modular models

Mesh:

Year:  2021        PMID: 34762797     DOI: 10.1021/acssynbio.1c00157

Source DB:  PubMed          Journal:  ACS Synth Biol        ISSN: 2161-5063            Impact factor:   5.110


  2 in total

1.  NOT Gates Based on Protein Degradation as a Case Study for a New Modular Modeling via SBML Level 3-Comp Package.

Authors:  Biruck Woldai Abraha; Mario Andrea Marchisio
Journal:  Front Bioeng Biotechnol       Date:  2022-03-11

2.  BioCRNpyler: Compiling chemical reaction networks from biomolecular parts in diverse contexts.

Authors:  William Poole; Ayush Pandey; Andrey Shur; Zoltan A Tuza; Richard M Murray
Journal:  PLoS Comput Biol       Date:  2022-04-20       Impact factor: 4.779

  2 in total

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