Phylogenetic analyses were then performed using the nucleotide sequences of various CoV gene datasets: (1) whole genome, (2) ORF1a, (3) ORF1b, (4) nsp5 (3CLpro), (5) RdRp (nsp12), (6) nsp13 (Hel), (7) nsp14 (ExoN), (8) nsp15 (NendoU), (9) nsp16 (O-MT), (10) spike (S) and (11) nucleocapsid (N). Phylogenetic trees were inferred using the maximum likelihood method implemented in the PhyML program (v.3.0)38 (link), using the generalized time reversible substitution model and subtree pruning and regrafting branch swapping. Bootstrap support values were calculated from 1,000 pseudo-replicate trees. The best-fitting model of nucleotide substitution was determined using MEGA (v.5)39 (link). Amino acid identities among sequences were calculated using the MegAlign program implemented in the Lasergene software package (v.7.1, DNAstar).
Nucleocapsid
It encapsulates the viral genome and plays a crucial role in viral assembly and replication.
Researchers studying the nucleocapsid can leverage PubCompare.ai's tools to streamline their workflows, locating relevant protocols from literature, preprints, and patents, and using AI-driven comparisons to identify the most reproducible and accruate methods.
This can help optimize nucleocapsid analysis and enhance overall research productivity.
Most cited protocols related to «Nucleocapsid»
Phylogenetic analyses were then performed using the nucleotide sequences of various CoV gene datasets: (1) whole genome, (2) ORF1a, (3) ORF1b, (4) nsp5 (3CLpro), (5) RdRp (nsp12), (6) nsp13 (Hel), (7) nsp14 (ExoN), (8) nsp15 (NendoU), (9) nsp16 (O-MT), (10) spike (S) and (11) nucleocapsid (N). Phylogenetic trees were inferred using the maximum likelihood method implemented in the PhyML program (v.3.0)38 (link), using the generalized time reversible substitution model and subtree pruning and regrafting branch swapping. Bootstrap support values were calculated from 1,000 pseudo-replicate trees. The best-fitting model of nucleotide substitution was determined using MEGA (v.5)39 (link). Amino acid identities among sequences were calculated using the MegAlign program implemented in the Lasergene software package (v.7.1, DNAstar).
Most recents protocols related to «Nucleocapsid»
Example 6
For studies here, the next generation hAd5 [E1-, E2b-, E3-] vector was used (
S-WT+N-ETSD and S RBD-ETSD+N-ETSD constructs were also produced, but are not shown.
to the most important features of the structure of SARS-CoV-2. The
four major structural proteins are displayed: the envelope (E), membrane
(M), nucleocapsid (N), and spike (S) proteins (
kDa) is the surface glycoprotein anchored to the viral membrane that
plays an essential role when the infection process of SARS-CoV-2 takes
place. This protein is a trimer of three identical protomers (
contains three segments: a short intracellular tail (IC), a transmembrane
anchor (TM), and a large ectodomain that extends outward from the
virus which is coated with sugar chains to hide the virus from the
immune system8 (link) and comprises S1 and S2
subunits.
Next, the students are invited to study the ectodomain by analyzing
the requested structural features that they must observe manipulating
PyMOL.
Although hundreds of structures of this spike protein
are already
available in the Protein Data Bank, the one with the code
They are encouraged to distinguish the four different levels of the
protein structures: primary, secondary, tertiary, and quaternary,
changing the representation of the molecule from lines or wireframe
to cartoon.
They must learn how to select individual residues
or different
chains, how to change their colors, how to generate objects, how to
show and hide different parts of the protein, how to measure distances
and angles for bonds, and how to generate surfaces.
They have
to realize that the spike protein is a complex of three
identical chains. A schematic illustration of the spike protein (
students, and they must recognize every single domain in the ectodomain,
extracting them as different objects and coloring them in the suggested
color.
The S1 subunit has an N-terminal
domain (NTD) and a receptor-binding
domain (RBD) located in the C-terminal domain, which is implied in
recognition and binding to the host cell receptor. S2 consists of
the fusion peptide (FP), two heptad repeats 1 (HR1 and HR2) which
operate the fusion of viral and host membranes, a transmembrane domain
(TM), and a cytoplasmic tail (CT).
When different species of
coronavirus are compared, the S2 subunit
is highly conserved, but the sequence of the S1 subunit varies greatly.
S1 and S2 are connected to the S1/S2 cleavage site in which specific
proteases act. The cleavage transforms the spike protein into a fusion
competent form that suffers several conformational changes and allows
it to anchor to the host membrane leading to the membrane fusion.10 (link)
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Top products related to «Nucleocapsid»
More about "Nucleocapsid"
This N protein encapsulates the viral genome and plays a pivotal role in viral assembly and replication.
Researchers studying the nucleocapsid can leverage PubCompare.ai's powerful tools to streamline their workflows.
PubCompare.ai's platform allows researchers to easily locate relevant protocols from literature, preprints, and patents.
By utilizing AI-driven comparisons, researchers can identify the most reproducible and accurate methods for nucleocapsid analysis.
This optimization of nucleocapsid research workflows can lead to enhanced overall productivity.
The Elecsys Anti-SARS-CoV-2 and Elecsys® Anti-SARS-CoV-2 S assays are examples of serological tests that can detect antibodies against the SARS-CoV-2 nucleocapsid protein.
The QIAamp Viral RNA Mini Kit and RNeasy Mini Kit are commonly used for viral RNA extraction, while the TRIzol reagent is a popular method for total RNA isolation.
DAPI, a fluorescent dye, can be used to visualize the nucleocapsid structure.
By incorporating synonyms, related terms, abbreviations, and key subtopics, researchers can more effectively navigate the complexities of nucleocapsid research and leverage the cutting-edge tools offered by PubCompare.ai.
This comprehensive approach can help optimize workflows, enhance productivity, and drive advancements in the understanding and analysis of this crucial viral component.