Tomas Helikar Slides

Tomas Helikar Video

Marie Ferguson Slides

Marie Ferguson Video

Tomas Helikar Abstract: Cell Collective is a highly accessible online computational modeling platform for the collaborative construction, simulation, and analysis of large-scale dynamic models of biological and biochemical processes. Teams can collaboratively build/simulate models/dynamics within the cloud-based platform. Cell Collective contains public, peer-reviewed mechanistic network models of various biological and biochemical processes in organisms ranging from bacteria and viruses to yeast, flies, plants, and humans. The platform currently supports logical and constraint-based modeling approaches. We have curated nearly 90 previously published logical models for the community to use and build upon. In this presentation, I will also highlight a logical host-pathogen model of influenza-epithelial cell interactions, as well as a cellular-level model of the immune system constructed by our group. Our recent development efforts to facilitate the modeling and analyses of constraint-based models now provide analysis capabilities of genome-scale metabolic models from the BiGG Models and BioModels databases.

Marie Ferguson Abstract: Finding medications or vaccines that may decrease the infectious period of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) could potentially reduce transmission in the broader population. We developed a computational model of the U.S. simulating the spread of SARS-CoV-2 and the potential clinical and economic impact of reducing the infectious period duration. Our study quantifies the potential effects of reducing the SARS-CoV-2 infectious period duration. Marie Ferguson, Project Director with the Public Health Informatics, Computational, and Operations Research (PHICOR) team headquartered at the City University of New York (CUNY) Graduate School of Public Health and Health Policy (CUNY SPH) will present their study published in PLoS Computational Biology. Since 2007, PHICOR has been researching and developing systems approaches, models, and tools to help decision makers better understand complex issues in health. This has included helping with national response to infectious disease threats ranging from the 2009 H1N1 flu pandemic to the Zika outbreak to the COVID-19 pandemic.