On the impact of hidden modeling assumptions on living systems- predictive dynamics

ONTARE. REVISTA DE INVESTIGACIÓN DE LA FACULTAD DE INGENIERÍA This paper aims at showing the predictive modeling of living systems, particularly some commonly structured modeling assumptions which simplify the behavior of living systems. It also takes into account the stochastic modeling of basi...

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Bibliographic Details
Main Author: Ivan Mura
Format: Article
Language:English
Published: Universidad Ean 2015-09-01
Series:Ontare
Subjects:
Online Access:https://journal.universidadean.edu.co/index.php/Revistao/article/view/1236
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Summary:ONTARE. REVISTA DE INVESTIGACIÓN DE LA FACULTAD DE INGENIERÍA This paper aims at showing the predictive modeling of living systems, particularly some commonly structured modeling assumptions which simplify the behavior of living systems. It also takes into account the stochastic modeling of basic gene expression mechanisms, such as transcription and translation, reaffirming the effect that simplifications have on the predictive behavior of living systems. These mechanisms rely on the basis of most gene expressions, signaling pathways and protein- protein interaction network models. This paper states that the usage of naïve modeling abstractions may result in predictive behaviors that are quite far from reality.
ISSN:2382-3399
2745-2220