Publications de Jay Coggan | EPFL Graph Search

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With a computational model of energy metabolism in an astrocyte, we show how a system of enzymes in a cascade can act as a functional unit of interdependent reactions, rather than merely a series of independent reactions. These systems may exist in multipl ...

The regulation of energy in the brain has garnered substantial attention in recent years due to its significant implications in various disorders and aging. The brain’s energy metabolism is a dynamic and tightly regulated network that balances energy deman ...

We explored a computational model of astrocytic energy metabolism and demonstrated the theoretical plausibility that this type of pathway might be capable of coding information about stimuli in addition to its known functions in cellular energy and carbon ...

Motivation: Accurate morphological models of brain vasculature are key to modeling and simulating cerebral blood flow in realistic vascular networks. This in silico approach is fundamental to revealing the principles of neurovascular coupling. Validating t ...

Motivation: Astrocytes, the most abundant glial cells in the mammalian brain, have an instrumental role in developing neuronal circuits. They contribute to the physical structuring of the brain, modulating synaptic activity and maintaining the blood-brain ...

SARS-CoV-2 started spreading toward the end of 2019 causing COVID-19, a disease that reached pandemic proportions among the human population within months. The reasons for the spectrum of differences in the severity of the disease across the population, an ...

Accurate molecular concentrations are essential for reliable analyses of biochemical networks and the creation of predictive models for molecular and systems biology, yet protein and metabolite concentrations used in such models are often poorly constraine ...

Although efficient compared to computers, the human brain utilizes energy at 10-fold the rate of other organs by mass. How the brain is supplied with sufficient on-demand energy to support its activity in the absence of neuronal storage capacity remains un ...

Ultraliser is a neuroscience-specific software framework capable of creating accurate and biologically realistic 3D models of complex neuroscientific structures at intracellular (e.g. mitochondria and endoplasmic reticula), cellular (e.g. neurons and glia) ...

Understanding the intracellular dynamics of brain cells entails performing three-dimensional molecular simulations incorporating ultrastructural models that can capture cellular membrane geometries at nanometer scales. While there is an abundance of neuron ...

Jay Coggan

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Excitation states of metabolic networks predict dose-response fingerprinting and ligand pulse phase signalling

Brain Metabolism in Health and Neurodegeneration: The Interplay Among Neurons and Astrocytes

Representing stimulus information in an energy metabolism pathway

Interactive visualization and analysis of morphological skeletons of brain vasculature networks with VessMorphoVis

Metaball skinning of synthetic astroglial morphologies into realistic mesh models for visual analytics and in silico simulations

A Machine-Generated View of the Role of Blood Glucose Levels in the Severity of COVID-19

A Standardized Brain Molecular Atlas: A Resource for Systems Modeling and Simulation

Norepinephrine stimulates glycogenolysis in astrocytes to fuel neurons with lactate

Ultraliser: a framework for creating multiscale, high-fidelity and geometrically realistic 3D models for in silico neuroscience

Synthesis of geometrically realistic and watertight neuronal ultrastructure manifolds for in silico modeling