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Title: COVID19 pharmacodynamics response tissue simulator

Type Software Yafei Wang (2020): COVID19 pharmacodynamics response tissue simulator. Zenodo. Software. https://zenodo.org/record/3988570

Author: Yafei Wang (Indiana University Bloomington) ;

Links

Summary

This release matches with version used in the paper Maraviroc inhibits SARS-CoV-2 multiplication and s-protein mediated cell fusion in cell culture

In this release:

Use intracellular drug concentration in calculating drug effect Update receptor dynamics, replication dynamics, export rate parameters and EC_50 to match with experimental data Add negative feedback for ACE2 binding, endocytosis process Pick up 3000 cells randomly binded with virion, rather than internalization in the beginning Use Dirichlet nodes for all voxels in the simulation

More information

  • DOI: 10.5281/zenodo.3988570

Dates

  • Publication date: 2020
  • Issued: August 17, 2020

Rights

  • info:eu-repo/semantics/openAccess Open Access

Much of the data past this point we don't have good examples of yet. Please share in #rdi slack if you have good examples for anything that appears below. Thanks!

Format

electronic resource

Relateditems

DescriptionItem typeRelationshipUri
IsSupplementTohttps://github.com/pc4covid19/pharmacodynamics-submodel/tree/0.2.0
IsVersionOfhttps://doi.org/10.5281/zenodo.3967412
IsPartOfhttps://zenodo.org/communities/covid-19
IsPartOfhttps://zenodo.org/communities/zenodo