DPCfam | MC410376
Metacluster Properties and Pfam Annotations
| Number of UniRef50 seed sequences | 4866 |
|---|---|
| Mean domain length (aa) | 413 ± 88 aa |
| Residues in low-complexity regions (%) | 1.45 |
| Residues in coiled-coil regions (%) | 0.0 |
| Predicted disordered residues (%) | 21.43 |
| Average transmembrane regions | 0 |
| Dominant Pfam architecture(s) | PF02837- PF00703- PF02836 |
| Sequences matching dominant architecture (%) | 59.24 |
| Average overlap percent | 79.11 |
| Pfam Overlap Label | Equivalent |
Seed Sequences
| Protein ID | Range | Length | Seed Sequence |
|---|---|---|---|
| A0A147HXX7 | 119-495 | 377 | FQPFVKTANVAQGYRPRGIGWYRRSFRLDPALQGRRIELEFGGVATFATIWVNGSVVAHNFSGYNAIRIDLTPFARFGDEPNIVA... |
| A0A0P0L162 | 7-440 | 434 | LNSGITDKVFLTNTGTATLIDPWIRTNLPTRARADLSVALDVKNNSVEKTKVLVRGTITPGNIIFQKELEVNAHTTEQVKFDKRY... |
| A0A1Q2HN78 | 89-456 | 368 | VPFPVESAISGVKEHHERVWYKRTFQIPESWDGSRILLHFGAVDWESEVYVNGQSAGVHKGGFDTFSYDITSMLDTEKQAQELIV... |
| B8NP78 | 34-727 | 694 | SSDALNHTVPGNLPSHAHLDLLKAGVIDDPYHGLNDFNLRWIPESNWTYTTDKIKDLMPIEFCGKYVASTNNQYRQYSFDVSQIL... |
| UPI0009DEF3C9 | 157-539 | 383 | MEYPFPINPPYVPAKQNPTGAYVTNFNVDNPQQNMQQILHFGGVNSAFYVWLNGHYLGYSEGSKTPAEFDISKALTSGNNQLAVK... |
| A0A1Q2HLT4 | 101-492 | 392 | CWQMEGFDFPIYTNAKYPFKKDKFRAPRDFNPVGTYRREFTLPEGWNERRVYIHFEGVESAFYLYINGKQVGYSQGSRTPAEFDI... |
| A0A142YG59 | 98-457 | 360 | GVKKGVKPDETLWYRRTFALEEPAAGTRFLLHFGAVDWAATVTVNGKEVGSHKGGYDPFSFDVTDALDFGKPGQEIVVAVTDPTD... |
| A0A0P4RGM1 | 124-478 | 355 | APVYTNTAYPFPVDPPRVPDENPTGDHRRSFDLPGGWGDGPAVLHFGGVESCARVWLNGVELGHFKGSRLPHEFEVGQLLRPRGN... |
| A0A1D8ATJ3 | 81-424 | 344 | KPNPPPLADEEGHYRHTFRVPAEWRDRAVRLVFDGVMTDAEVTVNGRSAGPVHQGSFYRFHHDITALLDFEGENRLEVVVRKKSA... |
| A0A1C5W8C9 | 91-493 | 403 | SGVNRQLQPEEYLWYKRTIDVNEVQLKKHRLILHFGAVDQACVVYVNGHQTGRHTGGYLPFELDITDAVHDGANELTVAVKDRSD... |
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