Summary: GCC2 and GCC3
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GCC2 and GCC3
No Pfam abstract.
External database links
| PANDIT: | PF07699 |
| Pseudofam: | PF07699 |
| SYSTERS: | GCC2_GCC3 |
This tab holds annotation information from the InterPro database.
InterPro entry IPR011641
Protein phosphorylation, which plays a key role in most cellular activities, is a reversible process mediated by protein kinases and phosphoprotein phosphatases. Protein kinases catalyse the transfer of the gamma phosphate from nucleotide triphosphates (often ATP) to one or more amino acid residues in a protein substrate side chain, resulting in a conformational change affecting protein function. Phosphoprotein phosphatases catalyse the reverse process. Protein kinases fall into three broad classes, characterised with respect to substrate specificity [PUBMED:3291115]:
- Serine/threonine-protein kinases
- Tyrosine-protein kinases
- Dual specific protein kinases (e.g. MEK - phosphorylates both Thr and Tyr on target proteins)
Protein kinase function has been evolutionarily conserved from Escherichia coli to human [PUBMED:12471243]. Protein kinases play a role in a multitude of cellular processes, including division, proliferation, apoptosis, and differentiation [PUBMED:12368087]. Phosphorylation usually results in a functional change of the target protein by changing enzyme activity, cellular location, or association with other proteins. The catalytic subunits of protein kinases are highly conserved, and several structures have been solved [PUBMED:15078142], leading to large screens to develop kinase-specific inhibitors for the treatments of a number of diseases [PUBMED:15320712].
Tyrosine-protein kinases can transfer a phosphate group from ATP to a tyrosine residue in a protein. These enzymes can be divided into two main groups [PUBMED:12471243]:
- Receptor tyrosine kinases (RTK), which are transmembrane proteins involved in signal transduction; they play key roles in growth, differentiation, metabolism, adhesion, motility, death and oncogenesis [PUBMED:19275641]. RTKs are composed of 3 domains: an extracellular domain (binds ligand), a transmembrane (TM) domain, and an intracellular catalytic domain (phosphorylates substrate). The TM domain plays an important role in the dimerisation process necessary for signal transduction [PUBMED:16700535].
- Cytoplasmic / non-receptor tyrosine kinases, which act as regulatory proteins, playing key roles in cell differentiation, motility, proliferation, and survival. For example, the Src-family of protein-tyrosine kinases [PUBMED:15845350].
This entry represents various ephrin type A and B receptors, which have tyrosine kinase activity.
Domain organisation
Below is a listing of the unique domain organisations or architectures in which this domain is found. More...
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Alignments
There are various ways to view or download the sequence alignments that we store. You can use a sequence viewer to look at either the seed or full alignment for the family, or you can look at a plain text version of the sequence in a variety of different formats. More...
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Very large alignments can often cause problems for the formatting tool above. If you find that downloading or viewing a large alignment is problematic, you can also download a gzip-compressed, Stockholm-format file containing the seed or full alignment for this family.
You can also download a FASTA format file containing the full-length sequences for all sequences in the full alignment.
The main seed and full alignments are generated using sequences from the UniProt sequence database. However, we also generate alignments using sequences from the NCBI sequence database and the "metaseq" metagenomics dataset.
You can view alignments from these two additional datasets using the form above, or you can download alignments of NCBI or metagenomics sequences, as gzip-compressed files.
External links
MyHits provides a collection of tools to handle multiple sequence alignments. For example, one can refine a seed alignment (sequence addition or removal, re-alignment or manual edition) and then search databases for remote homologs using HMMER3.
HMM logo
HMM logos is one way of visualising profile HMMs. Logos provide a quick overview of the properties of an HMM in a graphical form. You can see a more detailed description of HMM logos and find out how you can interpret them here. More...
Trees
This page displays the phylogenetic tree for this family. We use FastTree to calculate neighbour join trees with a local bootstrap based on 100 resamples (shown next to the tree nodes). FastTree calculates approximately-maximum-likelihood phylogenetic trees from our seed or full alignments.
Note: You can also download the data files for the seed, full, NCBI or metagenomics trees.
Curation and family details
This section shows the detailed information about the Pfam family. You can see the definitions of many of the terms in this section in the glossary and a fuller explanation of the scoring system that we use in the scores section of the help pages.
Curation
| Seed source: | He QY, Liu XH |
| Previous IDs: | none |
| Type: | Family |
| Author: | He QY, Liu XH, Studholme DJ |
| Number in seed: | 44 |
| Number in full: | 1121 |
| Average length of the domain: | 47.50 aa |
| Average identity of full alignment: | 29 % |
| Average coverage of the sequence by the domain: | 2.66 % |
HMM information
| HMM build commands: |
build method: hmmbuild -o /dev/null HMM SEED
search method: hmmsearch -Z 15929002 -E 1000 --cpu 4 HMM pfamseq
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| Model details: |
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| Model length: | 48 | ||||||||||||
| Family (HMM) version: | 8 | ||||||||||||
| Download: | download the raw HMM for this family |
Species distribution
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Colour assignments
Archea
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Eukaryota
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Bacteria
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Other sequences
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Viruses
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Unclassified
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Viroids
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Unclassified sequence
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This visualisation provides a simple graphical representation of the distribution of this family across species. You can find the original interactive tree in the adjacent tab if you need to select sub-trees and view sequence alignments. More...
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Archea
Eukaryota
Bacteria
Other sequences
Viruses
Unclassified
Viroids
Unclassified sequence