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Verifiable biology

The formalization of biological systems using computational modelling approaches as an alternative to mathematical-based methods has recently received much interest because computational models provide a deeper mechanistic understanding of biological systems. In particular, formal verification, comp...

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Detalles Bibliográficos
Autores principales: Konur, Savas, Gheorghe, Marian, Krasnogor, Natalio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10169095/
https://www.ncbi.nlm.nih.gov/pubmed/37160165
http://dx.doi.org/10.1098/rsif.2023.0019
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author Konur, Savas
Gheorghe, Marian
Krasnogor, Natalio
author_facet Konur, Savas
Gheorghe, Marian
Krasnogor, Natalio
author_sort Konur, Savas
collection PubMed
description The formalization of biological systems using computational modelling approaches as an alternative to mathematical-based methods has recently received much interest because computational models provide a deeper mechanistic understanding of biological systems. In particular, formal verification, complementary approach to standard computational techniques such as simulation, is used to validate the system correctness and obtain critical information about system behaviour. In this study, we survey the most frequently used computational modelling approaches and formal verification techniques for computational biology. We compare a number of verification tools and software suites used to analyse biological systems and biochemical networks, and to verify a wide range of biological properties. For users who have no expertise in formal verification, we present a novel methodology that allows them to easily apply formal verification techniques to analyse their biological or biochemical system of interest.
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spelling pubmed-101690952023-05-10 Verifiable biology Konur, Savas Gheorghe, Marian Krasnogor, Natalio J R Soc Interface Review Articles The formalization of biological systems using computational modelling approaches as an alternative to mathematical-based methods has recently received much interest because computational models provide a deeper mechanistic understanding of biological systems. In particular, formal verification, complementary approach to standard computational techniques such as simulation, is used to validate the system correctness and obtain critical information about system behaviour. In this study, we survey the most frequently used computational modelling approaches and formal verification techniques for computational biology. We compare a number of verification tools and software suites used to analyse biological systems and biochemical networks, and to verify a wide range of biological properties. For users who have no expertise in formal verification, we present a novel methodology that allows them to easily apply formal verification techniques to analyse their biological or biochemical system of interest. The Royal Society 2023-05-10 /pmc/articles/PMC10169095/ /pubmed/37160165 http://dx.doi.org/10.1098/rsif.2023.0019 Text en © 2023 The Authors. https://creativecommons.org/licenses/by/4.0/Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, provided the original author and source are credited.
spellingShingle Review Articles
Konur, Savas
Gheorghe, Marian
Krasnogor, Natalio
Verifiable biology
title Verifiable biology
title_full Verifiable biology
title_fullStr Verifiable biology
title_full_unstemmed Verifiable biology
title_short Verifiable biology
title_sort verifiable biology
topic Review Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10169095/
https://www.ncbi.nlm.nih.gov/pubmed/37160165
http://dx.doi.org/10.1098/rsif.2023.0019
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