Melanie I. Stefan

This study proposes a computational model explaining length-dependent protein synthesis during synaptic plasticity, showing it results from a shift in ribosomal regulation mechanisms.

The paper develops a unified deep non-linear mixed effects model for voltage-gated potassium channels, improving fit over existing models and enabling modeling of diverse channel types.

The paper proposes adapting FAIR indicators to assess and improve the quality and transparency of computational models in biology.

The paper fits and compares calcium-calmodulin kinetic models to a common dataset using non-linear mixed effects modelling, finding better fits and highlighting differences in activation patterns.

This paper identifies montelukast, an FDA-approved asthma drug, as a potential inhibitor of the Cav3.1 T-type calcium channel through computational simulations and suggests it may have therapeutic potential for neurological diseases.

The paper introduces a novel plasticity model and shows that fast fluctuation sensitivity enables precise temporal regulation of plasticity via inhibition in recurrent networks.

The paper develops a rule-based computational model of CaMKII holoenzyme to explore how Ca2+/CaM binding stabilizes autophosphorylation and regulates synaptic plasticity.

The paper presents a multi-scale computational model to explore the mechanisms of hyperpolarisation-gated synaptic plasticity in the medial vestibular nucleus.