Next Article in Journal
Special Issue “Molecular Advances in Obstetrical and Gynaecological Disorders”
Previous Article in Journal
GJB2-Related Hearing Loss: Genotype-Phenotype Correlations, Natural History, and Emerging Therapeutic Strategies
Previous Article in Special Issue
Epigenetic Signatures of Social Defeat Stress Varying Duration
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
This is an early access version, the complete PDF, HTML, and XML versions will be available soon.
Article

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

by
Pavel Y. Kondrakhin
* and
Fedor A. Kolpakov
Department of Computational Biology, Scientific Center for Genetics and Life Sciences, Sirius University of Science and Technology, 354340 Sirius, Russia
*
Author to whom correspondence should be addressed.
Int. J. Mol. Sci. 2026, 27(1), 490; https://doi.org/10.3390/ijms27010490
Submission received: 2 December 2025 / Revised: 25 December 2025 / Accepted: 31 December 2025 / Published: 3 January 2026
(This article belongs to the Special Issue Bioinformatics of Gene Regulations and Structure–2025)

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+, K+, Ca2+), receptors (AMPA, NMDA, GABAA, GABAB 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.
Keywords: mathematical model; epilepsy; seizures; tripartite synapse; biophysical neuron model; antiepileptic drugs; BioUML mathematical model; epilepsy; seizures; tripartite synapse; biophysical neuron model; antiepileptic drugs; BioUML

Share and Cite

MDPI and ACS Style

Kondrakhin, P.Y.; Kolpakov, F.A. Modular Model of Neuronal Activity That Captures the Dynamics of Main Molecular Targets of Antiepileptic Drugs. Int. J. Mol. Sci. 2026, 27, 490. https://doi.org/10.3390/ijms27010490

AMA Style

Kondrakhin PY, Kolpakov FA. Modular Model of Neuronal Activity That Captures the Dynamics of Main Molecular Targets of Antiepileptic Drugs. International Journal of Molecular Sciences. 2026; 27(1):490. https://doi.org/10.3390/ijms27010490

Chicago/Turabian Style

Kondrakhin, Pavel Y., and Fedor A. Kolpakov. 2026. "Modular Model of Neuronal Activity That Captures the Dynamics of Main Molecular Targets of Antiepileptic Drugs" International Journal of Molecular Sciences 27, no. 1: 490. https://doi.org/10.3390/ijms27010490

APA Style

Kondrakhin, P. Y., & Kolpakov, F. A. (2026). Modular Model of Neuronal Activity That Captures the Dynamics of Main Molecular Targets of Antiepileptic Drugs. International Journal of Molecular Sciences, 27(1), 490. https://doi.org/10.3390/ijms27010490

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop