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The Beacon Calculus: A formal method for the flexible and concise modelling of biological systems

Authors :
Luca Cardelli
Michael A. Boemo
Conrad A. Nieduszynski
Boemo, Michael A [0000-0002-0326-8200]
Cardelli, Luca [0000-0002-8705-8488]
Nieduszynski, Conrad A [0000-0003-2001-076X]
Apollo - University of Cambridge Repository
Boemo, Michael A. [0000-0002-0326-8200]
Nieduszynski, Conrad A. [0000-0003-2001-076X]
Source :
PLoS Computational Biology, PLoS Computational Biology, Vol 16, Iss 3, p e1007651 (2020)
Publication Year :
2020
Publisher :
Public Library of Science (PLoS), 2020.

Abstract

Biological systems are made up of components that change their actions (and interactions) over time and coordinate with other components nearby. Together with a large state space, the complexity of this behaviour can make it difficult to create concise mathematical models that can be easily extended or modified. This paper introduces the Beacon Calculus, a process algebra designed to simplify the task of modelling interacting biological components. Its breadth is demonstrated by creating models of DNA replication dynamics, the gene expression dynamics in response to DNA methylation damage, and a multisite phosphorylation switch. The flexibility of these models is shown by adapting the DNA replication model to further include two topics of interest from the literature: cooperative origin firing and replication fork barriers. The Beacon Calculus is supported with the open-source simulator bcs (https://github.com/MBoemo/bcs.git) to allow users to develop and simulate their own models.<br />Author summary Simulating a model of a biological system can suggest ideas for future experiments and help ensure that conclusions about a mechanism are consistent with data. The Beacon Calculus is a new language that makes modelling simple by allowing users to simulate a biological system in only a few lines of code. This simplicity is critical as it allows users the freedom to come up with new ideas and rapidly test them. Models written in the Beacon Calculus are also easy to modify and extend, allowing users to add new features to the model or incorporate it into a larger biological system. We demonstrate the breadth of applications in this paper by applying the Beacon Calculus to DNA replication and DNA damage repair, both of which have implications for genome stability and cancer. We also apply it to multisite phosphorylation, which is important for cellular signalling. To enable users to create their own models, we created the open-source Beacon Calculus simulator bcs (https://github.com/MBoemo/bcs.git) which is easy to install and is well-supported by documentation and examples.

Details

Database :
OpenAIRE
Journal :
PLoS Computational Biology, PLoS Computational Biology, Vol 16, Iss 3, p e1007651 (2020)
Accession number :
edsair.doi.dedup.....6e38e95c3903ac96245d211ee5353bb7
Full Text :
https://doi.org/10.17863/cam.48364