Mathematical modeling of regulatory networks of intracellular processes – Aims and selected methods

Regulatory networks structure and signaling pathways dynamics are uncovered in time- and resource consuming experimental work. However, it is increasingly supported by modeling, analytical and computational techniques as well as discrete mathematics and artificial intelligence applied to to extract...

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Detalles Bibliográficos
Autores principales: Kardynska, Malgorzata, Kogut, Daria, Pacholczyk, Marcin, Smieja, Jaroslaw
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Research Network of Computational and Structural Biotechnology 2023
Materias:
Review Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9958294/
https://www.ncbi.nlm.nih.gov/pubmed/36851915
http://dx.doi.org/10.1016/j.csbj.2023.02.006
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author Kardynska, Malgorzata
Kogut, Daria
Pacholczyk, Marcin
Smieja, Jaroslaw
author_facet Kardynska, Malgorzata
Kogut, Daria
Pacholczyk, Marcin
Smieja, Jaroslaw
author_sort Kardynska, Malgorzata
collection PubMed
description Regulatory networks structure and signaling pathways dynamics are uncovered in time- and resource consuming experimental work. However, it is increasingly supported by modeling, analytical and computational techniques as well as discrete mathematics and artificial intelligence applied to to extract knowledge from existing databases. This review is focused on mathematical modeling used to analyze dynamics and robustness of these networks. This paper presents a review of selected modeling methods that facilitate advances in molecular biology.
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spelling pubmed-99582942023-02-26 Mathematical modeling of regulatory networks of intracellular processes – Aims and selected methods Kardynska, Malgorzata Kogut, Daria Pacholczyk, Marcin Smieja, Jaroslaw Comput Struct Biotechnol J Review Article Regulatory networks structure and signaling pathways dynamics are uncovered in time- and resource consuming experimental work. However, it is increasingly supported by modeling, analytical and computational techniques as well as discrete mathematics and artificial intelligence applied to to extract knowledge from existing databases. This review is focused on mathematical modeling used to analyze dynamics and robustness of these networks. This paper presents a review of selected modeling methods that facilitate advances in molecular biology. Research Network of Computational and Structural Biotechnology 2023-02-08 /pmc/articles/PMC9958294/ /pubmed/36851915 http://dx.doi.org/10.1016/j.csbj.2023.02.006 Text en © 2023 The Authors https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Review Article
Kardynska, Malgorzata
Kogut, Daria
Pacholczyk, Marcin
Smieja, Jaroslaw
Mathematical modeling of regulatory networks of intracellular processes – Aims and selected methods
title Mathematical modeling of regulatory networks of intracellular processes – Aims and selected methods
title_full Mathematical modeling of regulatory networks of intracellular processes – Aims and selected methods
title_fullStr Mathematical modeling of regulatory networks of intracellular processes – Aims and selected methods
title_full_unstemmed Mathematical modeling of regulatory networks of intracellular processes – Aims and selected methods
title_short Mathematical modeling of regulatory networks of intracellular processes – Aims and selected methods
title_sort mathematical modeling of regulatory networks of intracellular processes – aims and selected methods
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9958294/
https://www.ncbi.nlm.nih.gov/pubmed/36851915
http://dx.doi.org/10.1016/j.csbj.2023.02.006
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