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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.
Constituent amino-acids can be analyzed to predict secondary, tertiary and quaternary protein structure. This list of protein structure prediction software summarizes notable used software tools in protein structure prediction, including homology modeling, protein threading, ab initio methods, secondary structure prediction, and transmembrane helix and signal peptide prediction.
Pathogen-associated molecular patterns ( PAMPs) are small molecular motifs conserved within a class of microbes, but not present in the host. [1] They are recognized by toll-like receptors (TLRs) and other pattern recognition receptors (PRRs) in both plants and animals. [2] This allows the innate immune system to recognize pathogens and thus ...
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.
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 ...
The Molecular Modelling Toolkit ( MMTK) is an open-source software package written in Python, which performs common tasks in molecular modelling. [1] The Molecular Modeling Toolkit is a library that implements common molecular simulation techniques, with an emphasis on biomolecular simulations. It uses modern software engineering techniques ...
Host–pathogen interaction. The host–pathogen interaction is defined as how microbes or viruses sustain themselves within host organisms on a molecular, cellular, organismal or population level. This term is most commonly used to refer to disease -causing microorganisms although they may not cause illness in all hosts. [1]
Modelling biological systems is a significant task of systems biology and mathematical biology. [a] Computational systems biology [b] [1] aims to develop and use efficient algorithms, data structures, visualization and communication tools with the goal of computer modelling of biological systems. It involves the use of computer simulations of ...