ArticlePLoS computational biology2020
The Beacon Calculus: A formal method for the flexible and concise modelling of biological systems.
Article in PLoS computational biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Regulation of replication timing in Saccharomyces cerevisiae.PLoS computational biology · 2025Article
- DNA replication timing reveals genome-wide features of transcription and fragility.Nature communications · 2025Article
- A genome-wide map of DNA replication at single-molecule resolution in the malaria parasite Plasmodium falciparum.Nucleic acids research · 2023Article
- Relating simulation studies by provenance-Developing a family of Wnt signaling models.PLoS computational biology · 2021Article
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3 authors.
Funding
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.
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Registered trials
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