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 |
|---|---|---|---|
| A0A132BBA8 | 893-1222 | 330 | QELDLRCLRQANIIGVTTSGLAKTIDVLGRVGAKVILCEEAGEVLEAHTLTTFLPGVQHAILIGDHEQLRPQINNFELQHDNPKG... |
| G0N2A8 | 851-1116 | 266 | TSLRQTFSNNDFMNSKKDKISVIAVDESSQLPRASFTALVFTFPKSRMFLTGDSKQLPPYSETNTPKELEDFAGAWFQRAFDKKV... |
| A0A0H3A6X5 | 1319-1600 | 282 | LMSPLSIAQFLGTQQAFFDVVVFDEASQIPVWDAIGAIARGRRLVVAGDPKQLPPTSFFDRRDQVDLDGDDVDEDMESILDECIG... |
| H1HLJ2 | 481-749 | 269 | VVLSTTFSARNTLPGHIFDYLIMDEASQVSVDSAVLALSVARNAVIVGDVLQLSHIVDKEERPNLLKINHEFGIPEAYNCLEQSF... |
| A0A132AF74 | 6-308 | 303 | ALKQTHLAIIHGPPGTGKTTALVELILQLIERRMKLLVCASSNVAIDNVFSNLIKSDKFKNTYEKNDQNKFVRVGHLARIEKNIR... |
| A0A154DX83 | 1135-1405 | 271 | VSESMPAELGLFDLVIVDEASQSSIDVLPVLMRAKKLLVVGDNKQVSPSNVGLASAQIDVLRNRYLHGQPHAAYLTPDMSLYDMA... |
| UPI00083F080D | 749-1081 | 333 | DRRIDNIDDLLLEYSNMYALHFYPHVQTVHDYRIVVCTLSLAGKLSTGGFGRDENKQSVFSHVFVDEAAASTEAEVLMGITCTMA... |
| H0X8S2 | 886-1226 | 341 | RPAAMVRVNATCRFEETVIDAIKPYCKDGEDIWKASRFRIIITTCSSAGLFYQIGVRVGHFTHVFVDEAGQASEPECLIPLGLIS... |
| A0A075M8V2 | 135-403 | 269 | VSESMPAELGLFDLVIVDEASQSSIDVLPVLMRAKKLLVVGDNKQVSPSNVGLASAQIDVLRNRYLHGQPHAAYLTPDMSLYDMA... |
| UPI000744068C | 611-903 | 293 | PVLGATCIGIDTSLEFRDTEFDTVIIDESGQITIFDVIVPMARAKKVILIGDHMQLPPVSDANLVKEFREMGLPSDWIEKSLFEE... |
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