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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.
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.
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 ...
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.
Homology modeling, also known as comparative modeling of protein, refers to constructing an atomic-resolution model of the " target " protein from its amino acid sequence and an experimental three-dimensional structure of a related homologous protein (the " template "). Homology modeling relies on the identification of one or more known protein ...
Manual Curation. The Pathogen-Host Interactions database ( PHI-base) [1] is a biological database that contains manually curated information on genes experimentally proven to affect the outcome of pathogen-host interactions. The database has been maintained by researchers at Rothamsted Research and external collaborators since 2005.
sourcecode. [19] PknotsRG. A dynamic programming algorithm for the prediction of a restricted class (H-type) of RNA pseudoknots. Yes. sourcecode, webserver. [20] RNA123. Secondary structure prediction via thermodynamic-based folding algorithms and novel structure-based sequence alignment specific for RNA.