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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.
trRosetta is an algorithm for fast and accurate protein structure prediction. It supports single-sequence structure prediction with trRosettaX-Single. C-QUARK is a method for ab initio protein structure prediction. Based on deep-learning based contact-map predictions into the fragment assembly simulations.
The discovery of disease -causing pathogens is an important activity in the field of medical science. Many viruses, bacteria, protozoa, fungi, helminths ( parasitic worms ), and prions are identified as a confirmed or potential pathogen. In the United States, a Centers for Disease Control and Prevention program, begun in 1995, identified over a ...
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.
Google Deepmind has unveiled the third major version of its "AlphaFold" artificial intelligence model, designed to help scientists design drugs and target disease more effectively. In 2020, the ...
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 ...
Pathogenomics is a field which uses high-throughput screening technology and bioinformatics to study encoded microbe resistance, as well as virulence factors (VFs), which enable a microorganism to infect a host and possibly cause disease.