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SARS coronavirus X4 like protein domain In molecular biology, SARS coronavirus X4 like protein domain is commonly shortened to SARS-X4. This protein domain is only found in viruses. It causes SARS Severe acute respiratory syndrome in humans which causes high rates of mortality. It is produced by a type of virus named the coronavirus (SARS-CoV). X4 is the protein domain which is a unique type I transmembrane protein.
SARS coronavirus main proteinase SARS coronavirus main proteinase (, "3cLpro", "3C-like protease", "coronavirus 3C-like protease", "Mpro", "SARS 3C-like protease", "SARS coronavirus 3CL protease", "SARS coronavirus main peptidase", "SARS coronavirus main protease", "SARS-CoV 3CLpro enzyme", "SARS-CoV main protease", "SARS-CoV Mpro", "severe acute respiratory syndrome coronavirus main protease") is an enzyme. This enzyme catalyses the following chemical reaction
Rhinolophus Bat coronavirus HKU2 RH-BAT-Cov-HKU2 shares a common evolutionary origin in the spike protein of Bat-SARS CoV. This spike protein shares similar deletions with group 2 coronaviruses in the C-terminus.
Biopython Biopython is able to read and write most common file formats for each of its functional areas, and its license is permissive and compatible with most other software licenses, which allow Biopython to be used in a variety of software projects.
Biopython A core concept in Biopython is the biological sequence, and this is represented by the codice_1 class. A Biopython codice_1 object is similar to a Python string in many respects: it supports the Python slice notation, can be concatenated with other sequences and is immutable. In addition, it includes sequence-specific methods and specifies the particular biological alphabet used.
Biopython As of version 1.62, Biopython supports running on Python 3 as well as Python 2.
SARS coronavirus The incubation period for SARS-CoV is from 2–10 days, sometimes lasting up to 13 days, with a mean of 5 days. Thus, symptoms usually develop between 2–10 days following infection by the virus. As part of the immune response, IgM antibody to the SARS-CoV is produced. This peaks during the acute or early convalescent phase (week 3) and declines by week 12. IgG antibody is produced later and peaks at week 12.
Biopython The Biopython Project is an open-source collection of non-commercial Python tools for computational biology and bioinformatics, created by an international association of developers. It contains classes to represent biological sequences and sequence annotations, and it is able to read and write to a variety of file formats. It also allows for a programmatic means of accessing online databases of biological information, such as those at NCBI. Separate modules extend Biopython's capabilities to sequence alignment, protein structure, population genetics, phylogenetics, sequence motifs, and machine learning. Biopython is one of a number of Bio* projects designed to reduce code duplication in computational biology.
Biopython Biopython can read and write to a number of common sequence formats, including FASTA, FASTQ, GenBank, Clustal, PHYLIP and NEXUS. When reading files, descriptive information in the file is used to populate the members of Biopython classes, such as codice_2. This allows records of one file format to be converted into others.
Scotophilus Bat coronavirus 512 Sc-BatCoV-512 shares a common evolutionary origin in the spike protein of Bat-SARS CoV. This spike protein shares similar deletions with group 2 coronaviruses in the C-terminus.
Bat SARS-like coronavirus WIV1 Bat SARS-like coronavirus WIV1, (Bat SL-CoV-WIV1) also sometimes called SARS-like coronavirus WIV1, is a newly identified CoV isolated from Chinese rufous horseshoe bats. The discovery confirms that bats are the natural reservoir of the SARS virus. Phylogenetic analysis shows the possibility of direct transmission of SARS from bats to humans without the intermediary Chinese civets, as previously believed. It is a single-stranded, enveloped, positive-sense RNA betacoronavirus.
SARS coronavirus The SARS coronavirus, sometimes shortened to SARS-CoV, is the virus that causes severe acute respiratory syndrome (SARS). On April 16, 2003, following the outbreak of SARS in Asia and secondary cases elsewhere in the world, the World Health Organization (WHO) issued a press release stating that the coronavirus identified by a number of laboratories was the official cause of SARS. Samples of the virus are being held in laboratories in New York City, San Francisco, Manila, Hong Kong, and Toronto.
Biological data visualization An emerging trend is the blurring of boundaries between the visualization of 3D structures at atomic resolution, visualization of larger complexes by cryo-electron microscopy, and visualization of the location of proteins and complexes within whole cells and tissues.
Visualization Library Visualization Library design is based on algorithmic and data structure specialization and separation, unlike many other 3D frameworks part of the so-called "uber scene graph" family, that is, those 3d engines that keep all the rendering information in a single hierarchical structure. Thus, Visualization Library uses different data structures (possibly hierarchical) to manage each particular domain of the rendering pipeline.
Betacoronavirus SARS-CoV virus causes SARS disease, and MERS-CoV virus causes MERS "Middle East Respiratory Syndrome" disease.
Biopython Through the Bio.Entrez module, users of Biopython can download biological data from NCBI databases. Each of the functions provided by the Entrez search engine is available through functions in this module, including searching for and downloading records.
Biopython The Bio.PopGen module adds support to Biopython for Genepop, a software package for statistical analysis of population genetics. This allows for analyses of Hardy–Weinberg equilibrium, linkage disequilibrium and other features of a population's allele frequencies.
Biopython Wherever possible, Biopython follows the conventions used by the Python programming language to make it easier for users familiar with Python. For example, codice_1 and codice_2 objects can be manipulated via , in a manner similar to Python’s strings and lists. It is also designed to be functionally similar to other Bio* projects, such as BioPerl.
Biopython Very large sequence files can exceed a computer's memory resources, so Biopython provides various options for accessing records in large files. They can be loaded entirely into memory in Python data structures, such as lists or dictionaries, providing fast access at the cost of memory usage. Alternatively, the files can be read from disk as needed, with slower performance but lower memory requirements.
SARS coronavirus Engineering of SARS virus has been done. In a paper published in 2006, a new transcription circuit was engineered to make recombinant SARS viruses. The recombination allowed for efficient expression of viral transcripts and proteins. The engineering of this transcription circuit reduces the RNA recombinant progeny viruses. The TRS (transcription regulatory sequences) circuit regulates efficient expression of SARS-CoV subgenomic mRNAs. The wild type TRS is ACGAAC.