Modular Model of Neuronal Activity That Captures the Dynamics of Main Molecular Targets of Antiepileptic Drugs

This paper presents a modular mathematical model of neuronal activity, designed to simulate the dynamics of main molecular targets of antiepileptic drugs and their pharmacological effects. The model was developed based on several existing synaptic transmission models that capture cellular processes crucial to the pathology of epilepsy. It incorporates the primary molecular mechanisms involved in regulating excitation and inhibition within the neural network. Special attention is given to the dynamics of ion currents (Na<sup>+</sup>, K<sup>+</sup>, Ca<sup>2+</sup>), receptors (AMPA, NMDA, GABA<sub>A</sub>, GABA<sub>B</sub> and mGlu), and neurotransmitters (glutamate and GABA). Examples of simulations illustrating the inhibitory effects on synaptic transmission are provided. The numerical results are consistent with experimental data reported in the literature.

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Publication Details

Journal
International Journal of Molecular Sciences
Published
2026-01-03
DOI
https://doi.org/10.3390/ijms27010490
Primary Topic
Neuroscience and Neuropharmacology Research
Type
article
Field-Weighted Citation Impact
0.00

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article

Modular Model of Neuronal Activity That Captures the Dynamics of Main Molecular Targets of Antiepileptic Drugs

Fedor Kolpakov, Pavel Yu. Kondrakhin
International Journal of Molecular Sciences
Neuroscience and Neuropharmacology Research
article

Modular Model of Neuronal Activity That Captures the Dynamics of Main Molecular Targets of Antiepileptic Drugs

Fedor Kolpakov, Pavel Yu. Kondrakhin
article en

Abstract

This paper presents a modular mathematical model of neuronal activity, designed to simulate the dynamics of main molecular targets of antiepileptic drugs and their pharmacological effects. The model was developed based on several existing synaptic transmission models that capture cellular processes crucial to the pathology of epilepsy. It incorporates the primary molecular mechanisms involved in regulating excitation and inhibition within the neural network. Special attention is given to the dynamics of ion currents (Na<sup>+</sup>, K<sup>+</sup>, Ca<sup>2+</sup>), receptors (AMPA, NMDA, GABA<sub>A</sub>, GABA<sub>B</sub> and mGlu), and neurotransmitters (glutamate and GABA). Examples of simulations illustrating the inhibitory effects on synaptic transmission are provided. The numerical results are consistent with experimental data reported in the literature.

International Journal of Molecular SciencesVol. 27(1)
Sirius University of Science and Technology (RU)
Russian Science Foundation
Good health and well-being
Openalex Percentile: Top 96%
Neuroscience and Neuropharmacology Research
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