Research Topic

Advances in Modeling the Phenomenological Behavior of Ligand-Gated Receptors

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About this Research Topic

Chemical neurotransmission is a key element in realistic and biologically-based models of neurons and neural networks. Its primary importance is especially evident when considering the role of the wide multiplicity of neuroligands in neurotransmission and neuromodulation of different circuits in the central nervous system, or in mediating the neuromuscular transmission in both skeletal and smooth muscles, or in the transduction processes of different sensory modalities. In addition, its range of activity also extends to the second-messenger pathways and to the structural changes at the foundation of synaptic plasticity.

However, despite the consistent achievements in the biophysical and molecular comprehension of the mechanisms of ligand-gated neurotransmission and neuromodulation in the last decade, only quite few of them yielded neurocomputational models, suitable to be incorporated in models of neurons and neural networks.

Here a call is issued for scientific communications aimed at bridging the gap between the biological achievements made in the field of chemical neurotransmission and its computational modelling.

This Research Topic, thus, will cover both ionotropic and metabotropic receptors, with ligands of various biochemical structure (amino acids, monoamines, peptides, gasotransmitters, etc.), as well as strictly correlated issues (e.g. GABA co-transmission, or non-canonical signalling of ligand-gated ion channels).

As the ultimate goal of the Research Topic is modeling, a prominent address of the call is towards computationally sustainable models. In this respect, the Topic is mainly focused on the phenomenological behavior of the chemical neurotransmission, rather than on its detailed biophysical and molecular features. Moreover, being the call inspired to a collaborative and multi-disciplinary approach, emphasis on the reusability of the models (more than on their reproducibility) is also placed.


Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.

Chemical neurotransmission is a key element in realistic and biologically-based models of neurons and neural networks. Its primary importance is especially evident when considering the role of the wide multiplicity of neuroligands in neurotransmission and neuromodulation of different circuits in the central nervous system, or in mediating the neuromuscular transmission in both skeletal and smooth muscles, or in the transduction processes of different sensory modalities. In addition, its range of activity also extends to the second-messenger pathways and to the structural changes at the foundation of synaptic plasticity.

However, despite the consistent achievements in the biophysical and molecular comprehension of the mechanisms of ligand-gated neurotransmission and neuromodulation in the last decade, only quite few of them yielded neurocomputational models, suitable to be incorporated in models of neurons and neural networks.

Here a call is issued for scientific communications aimed at bridging the gap between the biological achievements made in the field of chemical neurotransmission and its computational modelling.

This Research Topic, thus, will cover both ionotropic and metabotropic receptors, with ligands of various biochemical structure (amino acids, monoamines, peptides, gasotransmitters, etc.), as well as strictly correlated issues (e.g. GABA co-transmission, or non-canonical signalling of ligand-gated ion channels).

As the ultimate goal of the Research Topic is modeling, a prominent address of the call is towards computationally sustainable models. In this respect, the Topic is mainly focused on the phenomenological behavior of the chemical neurotransmission, rather than on its detailed biophysical and molecular features. Moreover, being the call inspired to a collaborative and multi-disciplinary approach, emphasis on the reusability of the models (more than on their reproducibility) is also placed.


Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.

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