Mathematical and computational modeling of biological systems: advances and perspectives

Carlo Bianca; Carlo Bianca

doi:10.3934/biophy.2021025

AIMS Biophysics

2021, Volume 8, Issue 4: 318-321. doi: 10.3934/biophy.2021025

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Editorial Special Issues

Mathematical and computational modeling of biological systems: advances and perspectives

Carlo Bianca ^{1,2
,
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1.
Laboratoire Quartz EA 7393, École Supérieure d'Ingénieurs en Génie Électrique, Productique et Management Industriel, 13 Boulevard de l'Hautil, 95092 Cergy Pontoise Cedex, France
2.
Laboratoire de Recherche en Eco-innovation Industrielle et Énergétique, École Supérieure d'Ingénieurs en Génie Électrique, Productique et Management Industriel, 13 Boulevard de l'Hautil, 95092 Cergy Pontoise Cedex, France

Received: 26 September 2021 Accepted: 26 September 2021 Published: 30 September 2021

The recent developments in the fields of mathematics and computer sciences have allowed a more accurate description of the dynamics of some biological systems. On the one hand new mathematical frameworks have been proposed and employed in order to gain a complete description of a biological system thus requiring the definition of complicated mathematical structures; on the other hand computational models have been proposed in order to give both a numerical solution of a mathematical model and to derive computation models based on cellular automata and agents. Experimental methods are developed and employed for a quantitative validation of the modeling approaches. This editorial article introduces the topic of this special issue which is devoted to the recent advances and future perspectives of the mathematical and computational frameworks proposed in biosciences.
- differential equations,
- complexity,
- agents,
- validation,
- system biology
Citation: Carlo Bianca. Mathematical and computational modeling of biological systems: advances and perspectives[J]. AIMS Biophysics, 2021, 8(4): 318-321. doi: 10.3934/biophy.2021025

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Abstract

The recent developments in the fields of mathematics and computer sciences have allowed a more accurate description of the dynamics of some biological systems. On the one hand new mathematical frameworks have been proposed and employed in order to gain a complete description of a biological system thus requiring the definition of complicated mathematical structures; on the other hand computational models have been proposed in order to give both a numerical solution of a mathematical model and to derive computation models based on cellular automata and agents. Experimental methods are developed and employed for a quantitative validation of the modeling approaches. This editorial article introduces the topic of this special issue which is devoted to the recent advances and future perspectives of the mathematical and computational frameworks proposed in biosciences.

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