Condition for periodic attractor in ...
Type de document :
Communication dans un congrès avec actes
Titre :
Condition for periodic attractor in 4-dimensional repressilators
Auteur(s) :
Sun, Honglu [Auteur]
Méthodes Formelles pour la Bioinformatique [LS2N - équipe MéForBio]
Folschette, Maxime [Auteur]
BioComputing
Magnin, Morgan [Auteur]
Méthodes Formelles pour la Bioinformatique [LS2N - équipe MéForBio]
Méthodes Formelles pour la Bioinformatique [LS2N - équipe MéForBio]
Folschette, Maxime [Auteur]

BioComputing
Magnin, Morgan [Auteur]
Méthodes Formelles pour la Bioinformatique [LS2N - équipe MéForBio]
Titre de la manifestation scientifique :
21st International Conference on Computational Methods in Systems Biology (CMSB 2023)
Ville :
Luxembourg City
Pays :
Luxembourg
Date de début de la manifestation scientifique :
2023-09-13
Titre de la revue :
Lecture Notes in Computer Science
Éditeur :
Springer Nature Switzerland
Lieu de publication :
Cham
Date de publication :
2023
Mot(s)-clé(s) en anglais :
Periodic attractor
Discrete dynamical system
Repressilator
Decision tree
Gene regulatory networks
Discrete dynamical system
Repressilator
Decision tree
Gene regulatory networks
Discipline(s) HAL :
Informatique [cs]/Bio-informatique [q-bio.QM]
Résumé en anglais : [en]
One of the key questions about gene regulatory networks is how to predict complex dynamical properties based on the influence graph's topology. Earlier theoretical studies have identified conditions for complex dynamical ...
Lire la suite >One of the key questions about gene regulatory networks is how to predict complex dynamical properties based on the influence graph's topology. Earlier theoretical studies have identified conditions for complex dynamical properties, like multistability or oscillations, based on topological features, like the presence of a positive (negative) feedback loop. This work follows this path and aims to find a sufficient and necessary condition for the existence of a periodic attractor in 4-dimensional (4 genes) repressilators based on a discrete modeling framework under some dynamical assumptions. These networks are extensions of the widely studied 3-dimensional repressilator, which has been used in synthetic biology to produce synthetic oscillations. While other researchers have explored specific extensions of the 3-dimensional repressilator to improve synthetic oscillation control, our work investigates all 4-dimensional networks with only inhibitions. By uncovering new insights about periodic attractors in these small networks, our findings could aid the design of new synthetic oscillations. We search for condition for period attractor in an exhaustive manner with the guide of a decision tree model. Our major contributions include: 1) discovering that, with one exception, the relations between gene regulation thresholds do not impact the existence of periodic attractors in any of the influence graphs considered in this study; 2) identifying a sufficient and necessary condition of simple form for the existence of a periodic attractor when the exception is ignored; 3) identifying new topological features of influence graphs that are necessary for predicting the existence of periodic attractor in 4-dimensional repressilators.Lire moins >
Lire la suite >One of the key questions about gene regulatory networks is how to predict complex dynamical properties based on the influence graph's topology. Earlier theoretical studies have identified conditions for complex dynamical properties, like multistability or oscillations, based on topological features, like the presence of a positive (negative) feedback loop. This work follows this path and aims to find a sufficient and necessary condition for the existence of a periodic attractor in 4-dimensional (4 genes) repressilators based on a discrete modeling framework under some dynamical assumptions. These networks are extensions of the widely studied 3-dimensional repressilator, which has been used in synthetic biology to produce synthetic oscillations. While other researchers have explored specific extensions of the 3-dimensional repressilator to improve synthetic oscillation control, our work investigates all 4-dimensional networks with only inhibitions. By uncovering new insights about periodic attractors in these small networks, our findings could aid the design of new synthetic oscillations. We search for condition for period attractor in an exhaustive manner with the guide of a decision tree model. Our major contributions include: 1) discovering that, with one exception, the relations between gene regulation thresholds do not impact the existence of periodic attractors in any of the influence graphs considered in this study; 2) identifying a sufficient and necessary condition of simple form for the existence of a periodic attractor when the exception is ignored; 3) identifying new topological features of influence graphs that are necessary for predicting the existence of periodic attractor in 4-dimensional repressilators.Lire moins >
Langue :
Anglais
Comité de lecture :
Oui
Audience :
Internationale
Vulgarisation :
Non
Collections :
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