Jacob Barhak Video

David Odde Slides

David Odde Video

Jacob Barhak Abstract: Abstract:  A white paper draft by the Model Reproducibility, Credibility and Standardization subgroup and the Integration subgroup. Link to white paper draft:
https://docs.google.com/document/d/1IMEgmdNkx-EsnOjGuegpenSIMmKIkK00Lc8Gred3QxM/edit?usp=sharing

David Odde Abstract: Effective therapies for COVID-19 are urgently needed. Presently there are thousands of COVID-19 clinical trials globally, many with drug combinations, resulting in an empirical process with an enormous number of possible combinations. To identify the most promising potential therapies, we developed a biophysical model for the SARS-CoV-2 viral cycle and performed a sensitivity analysis for individual model parameters and all possible pairwise parameter changes (162 = 256 possibilities). We found that model-predicted virion production is fairly insensitive to changes in most viral entry, assembly, and release parameters, but highly sensitive to some viral transcription and translation parameters. Furthermore, we found a cooperative benefit to pairwise targeting of transcription and translation, predicting that combined targeting of these processes will be especially effective in inhibiting viral production. I will discuss how the model has fared in light of clinical trial results, and current applications.