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Infectious disease dynamics. Mathematical models need to integrate the increasing volume of data being generated on host - pathogen interactions. Many theoretical studies of the population dynamics, structure and evolution of infectious diseases of plants and animals, including humans, are concerned with this problem.
COVID-19 simulation models are mathematical infectious disease models for the spread of COVID-19. [1] The list should not be confused with COVID-19 apps used mainly for digital contact tracing . Note that some of the applications listed are website-only models or simulators, and some of those rely on (or use) real-time data from other sources.
Comparison of software for molecular mechanics modeling. This is a list of computer programs that are predominantly used for molecular mechanics calculations. GPU – GPU accelerated. I – Has interface. Imp – Implicit water. MC – Monte Carlo. MD – Molecular dynamics. Min – Optimization. QM – Quantum mechanics.
iBioSim [5] [6] is a computer-aided design (CAD) tool for the modeling, analysis, and design of genetic circuits. GUI/Scripting tool [7] for building and simulating multicellular models. Yes, but only for reactions. GUI tool [8] [9] for analyzing and simulating SBML models.
PHI-base was the first online resource devoted to the identification and presentation of information on fungal and oomycete pathogenicity genes and their host interactions. PHI-base is a resource for the discovery of candidate targets in medically and agronomically important fungal and oomycete pathogens for intervention with synthetic ...
PLOS Pathogens is a peer-reviewed open-access medical journal. All content in PLOS Pathogens is published under the Creative Commons "by-attribution" license. PLOS Pathogens began operation in September 2005. It was the fifth journal of the Public Library of Science (PLOS), a non-profit open-access publisher.
SEA-PHAGES is a two-semester undergraduate research program administered by the University of Pittsburgh's Graham Hatfull 's group and the Howard Hughes Medical Institute's Science Education Division. Students from over 100 universities nationwide engage in authentic individual research that includes a wet-bench laboratory and a bioinformatics ...
Quantitative microbiological risk assessment [1] (QMRA) is the process of estimating the risk from exposure to microorganisms . The process involves measuring known microbial pathogens or indicators and running a Monte Carlo simulation to estimate the risk of transfer. [1] If a dose-response model is available for the microbe, it be used to ...