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A computational model of the Src kinase pathway in hypoxic neonatal brain injury

Authors: Kratimenos, Panagiotis; Vij, Abhya; Vidva, Robinson; Koutroulis, Ioannis; Delivoria-Papadopoulos, Maria; Gallo, Vittorio; Sathyanesan, Aaron;

A computational model of the Src kinase pathway in hypoxic neonatal brain injury

Abstract

This file is a MATLAB SimBiology project file that contains the "Kratimenos_et_al_CaM-Src_model" model. This file can be used to launch and simulate the SimBiology computational model accompanying the manuscript: "Computational Analysis of Cortical Neuronal Excitotoxicity in a Large Animal Model of Neonatal Brain Injury" Panagiotis Kratimenos1,2,5 *, Abhya Vij5, Robinson Vidva6, Ioannis Koutroulis3,4,5, Maria Delivoria-Papadopoulos7**, Vittorio Gallo1,5, and Aaron Sathyanesan1,5* 1Center for Neuroscience Research, Children’s National Research Institute, Children’s National Hospital, Washington DC, USA 2Department of Pediatrics, Division of Neonatology, Children’s National Hospital, Washington DC, USA 3Department of Pediatrics, Division of Emergency Medicine, Children’s National Hospital, Washington, DC, USA 4Center for Genetic Medicine Research, Children’s National Research Institute and Department of Genomics and Precision Medicine, George Washington University School of Medicine and Health Sciences, Washington, DC, USA 5George Washington University School of Medicine and Health Sciences, Washington DC, USA 6Digirobi Solutions, Bengaluru, Karnataka, India 7Department of Pediatrics, Drexel University College of Medicine, Philadelphia, PA, USA *Corresponding Authors: Panagiotis Kratimenos, MD, PhD: panagiotis.kratimenos@childrensnational.org Aaron Sathyanesan, PhD: asathyanesan@childrensnational.org 111 Michigan Avenue, Washington, DC, 20010, USA

Keywords

computational model, neonatal brain injury, SimBiology

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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