DPCfam | MC367454
Metacluster Properties and Pfam Annotations
| Number of UniRef50 seed sequences | 8806 |
|---|---|
| Mean domain length (aa) | 303 ± 50 aa |
| Residues in low-complexity regions (%) | 2.62 |
| Residues in coiled-coil regions (%) | 0.01 |
| Predicted disordered residues (%) | 21.23 |
| Average transmembrane regions | 0.02 |
| Dominant Pfam architecture(s) | PF13086- PF13087 |
| Sequences matching dominant architecture (%) | 57.14 |
| Average overlap percent | 72.13 |
| Pfam Overlap Label | Reduced |
Seed Sequences
| Protein ID | Range | Length | Seed Sequence |
|---|---|---|---|
| A0A0M3SWI8 | 871-1164 | 294 | VPAVSTTFASVERMLGDLPASSIGWLLVDEAGQATPQSAVGAMLRSKRVIVVGDPLQVPPVVALPERLVLEVCKYFKVSPQEWAA... |
| A0A1L8QL18 | 834-1110 | 277 | MVPVVSTTFASLPRLFEHLGREDLGWLLVDEAGQATAQSVVGGLWRAQRAVLVGDPMQLEPIVPLPVPAQTALADHHGVDHQWLP... |
| UPI0004CCA87A | 1750-2076 | 327 | ERIKLKKKYDDYITQIGLLENCKQIRQKNNEKQYHQEKKLLATADVITCTLSSCYTTLMESTFGKRSDDKKISICIVDEATQCCE... |
| A0A1I8ITD6 | 282-640 | 359 | VRCVRLGHPARQLPQVVEHSLDALLARSEDRRIIADVRADIDKLLSGGRNRRIGAELRNLRSELRQREANCVKAILTRAQAVLCT... |
| A0A067C624 | 91-420 | 330 | RSMASVPAELLGVCCTTGGDIFSLPPLEVLAAFRVVVTTTCASGALSIAGLAPGHFGDIIIDEACQATEAETLVPLLLYTPGVHL... |
| D7LFG7 | 388-659 | 272 | MTKQAKIVAMMCTHAALKRRDFLQLGFKYDNSLMEDSAQILEIETFIPMLLQRQEDGGHARLKRCILIGDHHQLPPVVKNMAFQR... |
| A0A179GEL5 | 830-1158 | 329 | RSISHEDYLDEQQCDKDSFQDLLRKVASCASVICTTPETSANSFFEPLKRTSDVVVLNAAGAMGRADAINVWGNACRPCIIVGDW... |
| UPI00099F4055 | 1905-2230 | 326 | KEEMYHELAAQKSRMLQERETLSLQLKKSRIRKQETQAQVLQDAHVVCCTLSTSGSTVLESAFRRLGHKPFSCVIVDEAGQATET... |
| A0A182JF45 | 581-889 | 309 | QRRARLNEQLSHTTAGSSYMSAEQRISAEKKARVLLIDRANIVCTTLGSCSLLESYCPKAYYDVCIIDEATQCTELNSLLPLMYG... |
| A0A1I0HP53 | 679-979 | 301 | MIPKFFTAWRGNEQPLYDFIDLLIIDEAGQVPAEIAGAVFSLAKKSIVVGDALQIEPVWSINERIDIGNLKRHQIISSDSDSEID... |
Representative AlphaFold Structure
No AlphaFold representative is available for this metacluster.
Downloads
Seed Sequences
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Multiple Sequence Alignment (MSA)
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HMM Model
Not available
Download the HMM file containing the hidden Markov model