A modular framework for multiscale, multicellular, spatiotemporal modeling of acute primary viral infection and immune response in epithelial tissues and its application to drug therapy timing and effectiveness

Research output: Contribution to journal › Research article › Contributed › peer-review

Contributors

  • T.J. Sego - , Indiana University Bloomington (Author)
  • J.O. Aponte-Serrano - , Indiana University Bloomington (Author)
  • J. Ferrari Gianlupi - , Indiana University Bloomington (Author)
  • S.R. Heaps - , Indiana University Bloomington (Author)
  • K. Breithaupt - , Indiana University Bloomington (Author)
  • L. Brusch - , Center for Information Services and High Performance Computing (ZIH), Department of Innovative Methods of Computing (IMC) (Author)
  • J. Crawshaw - , University of Melbourne (Author)
  • J.M. Osborne - , University of Melbourne (Author)
  • E.M. Quardokus - , Indiana University Bloomington (Author)
  • R.K. Plemper - , Georgia State University (Author)
  • J.A. Glazier - , Indiana University Bloomington (Author)

Details

Original languageEnglish
Article numbere1008451
JournalPLoS Computational Biology
Volume16
Issue number12
Publication statusPublished - 2020
Peer-reviewedYes

External IDs

Scopus 85098958695
ORCID /0000-0003-0137-5106/work/142244219

Keywords

Keywords

  • multiscale modeling, multicellular modeling, spatiotemporal modeling, acute primary viral infection and immune response, epithelial tissues, drug therapy