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  Domain Name: Chemokine_CC
Chemokine_CC: 1 of 4 subgroup designations based on the arrangement of the two N-terminal cysteine residues; includes a number of secreted growth factors and interferons involved in mitogenic, chemotactic, and inflammatory activity; some members (e.g. 2HCC) contain an additional disulfide bond which is thought to compensate for the highly conserved Trp missing in these; chemotatic for monocytes, macrophages, eosinophils, basophils, and T cells, but not neutrophils; exist as monomers and dimers, but are believed to be functional as monomers; found only in vertebrates and a few viruses; a subgroup of CC, identified by an N-terminal DCCL motif (Exodus-1, Exodus-2, and Exodus-3), has been shown to inhibit specific types of human cancer cell growth in a mouse model. See CDs: Chemokine (cd00169) for the general alignment of chemokines, or Chemokine_CXC (cd00273), Chemokine_C (cd00271), and Chemokine_CX3C (cd00274) for the additional chemokine subgroups, and Chemokine_CC_DCCL for the DCCL subgroup of this CD.
No pairwise interactions are available for this conserved domain.

Total Mutations Found: 8
Total Disease Mutations Found: 0
This domain occurred 27 times on human genes (43 proteins).

 If you've navigated here from a protein, hovering over a position on the weblogo will display the corresponding protein position for that domain position.

 The histograms below the weblogo indicate mutations found on the domain. Red is for disease (OMIM) and blue is for SNPs.

 Functional Features are displayed as orange boxes under the histograms. You can choose which features are displayed in the box below.

Range on the Protein:  

   Protein ID            Protein Position

Domain Position:  

Feature Name:Total Found:
tetramer interface
dimer interface (I form)
dimer interface (P form)
putative receptor binding
putative receptor binding
putative glycosaminoglyca
putative glycosaminoglyca

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Please Cite: Peterson, T.A., Adadey, A., Santana-Cruz ,I., Sun, Y., Winder A, Kann, M.G., (2010) DMDM: Domain Mapping of Disease Mutations. Bioinformatics 26 (19), 2458-2459.

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