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Open Source Science

https://github.com/ashleefv/covid19fibrosisras

https://github.com/ashleefv/covid19fibrosisras

Science Score: 23.0%

This score indicates how likely this project is to be science-related based on various indicators:

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    CITATION.cff file
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    codemeta.json file
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    .zenodo.json file
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    DOI references
    Found 4 DOI reference(s) in README
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    Links to: zenodo.org
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    Low similarity (7.4%) to scientific vocabulary
Last synced: 10 months ago · JSON representation

Repository

Basic Info
  • Host: GitHub
  • Owner: ashleefv
  • License: bsd-3-clause
  • Language: Jupyter Notebook
  • Default Branch: master
  • Size: 11.1 MB
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  • Releases: 2
Created over 3 years ago · Last pushed over 1 year ago
Metadata Files
Readme License

README.md

covid19fibrosisRAS

DOI

Overview

The mathematical model describes the role of patient-specific premorbidity, age, and sex differences on Renin-Angiotensin System.

Mathematical Modeling of Impacts of Patient Differences on Renin-Angiotensin System and Applications to COVID-19 Lung Fibrosis Outcomes

Manuscript: DOI 10.1101/2022.11.06.515367v2

Code Authors

Mohammad Aminul Islam and Ashlee N. Ford Versypt, Dept. of Chemical & Biological Engineering, University at Buffalo, The State University of New York.

Corresponding author: A. N. Ford Versypt, ashleefv@buffalo.edu

Scripts

  • RAS.ipynb This file will generate RAS and immune dynamics and dose response to ueACE2

  • RASinitialvalue_variations.ipynb This file generate prediction with variation of initial values of ANGI, ANGII, and ANG1-7 within experimentally obserevd SARS-CoV-2 negative and SARS-CoV-2 positive patients

  • RASlocalsensitivity_parameters.ipynb This file generate time dynamic sensitivity for model parameters

  • RASANGIIto_TGF.ipynb This file generate fibrosis model dynamics with variation of ANGII induced TGF-beta production rate (kT) for ueACE_1000

  • ueACE2200.p - ueACE22000.p and ueACE2t are data file for ACE2 dynamics from the agent-based model

  • The folder Template of in silico experiments contains template code for all the cases of ACE variations from 200-2000

  • Multirunanalysis.ipynb This file extracts data from multiple replications and plots mean responses. This file also generates the ueACE2 dynamics

Acknowledgements

Research reported in this publication was supported by the National Institute of General Medical Sciences of the National Institutes of Health under award number R35GM133763. The content is solely the responsibility of the authors and does not necessarily represent the offcial views of the National Institutes of Health.

Owner

  • Name: Ashlee Ford Versypt
  • Login: ashleefv
  • Kind: user
  • Location: Buffalo, NY
  • Company: University at Buffalo, The State University of New York

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