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 |
|---|---|---|---|
| A0A1J5A9W9 | 98-478 | 381 | PFPIDPPRVPNENPVGVYRRRFIVSEDWDGMQVFLHFEGVDSAFYVWVNGEPVGYSQGAHLPSEFNVTQYLCADENLLVVQVFQW... |
| R5R3U1 | 66-421 | 356 | WDKVPVPSCWQMTGYEKPYYTNVNYPYPVDPPYVPDDNPLGVYRRFLTVTAEEAARENTLVFEGVAPCMELFVNGSYVGYSTVSH... |
| A0A1V6J847 | 69-615 | 547 | IPDPFFACNEKELQWIGQTDWSYHTHFYLNENDFSFQNLELVFEGLDCFAEVILNGHNILEANNMFREWRVDIEPFVEIGGNFLE... |
| A0A1Q3MP02 | 57-438 | 382 | TWNAQDMQMGSAFYEGQAWYRRNLRLSTDQKKRKVFLRFEGVGQVAQVYVNGRLVGEHKGGYSAFCFEITSALKFGENNLIQVSV... |
| A0A0P6HDG8 | 193-819 | 627 | VPGGIYTDLERADILQDGPLLYRFNDGNYRWIAYNDWNYALDFDVDPLLVNQPGVFLVLHGVDTVAQIRLNGFFLGETDNMFVRY... |
| UPI0005D1DA55 | 88-426 | 339 | DKPGYTNLNYPFPVDPPYVPDDNPCGVYMRELELDDIQCKRDNYIVFEGVSSCLELYINGQYVGYSQVSHMQSEFDISKHVISGI... |
| A0A174GZZ3 | 59-411 | 353 | PGGDYIYTKEFMVDQSSEGKNFYLEFEGIYERGQVYINGNFAGSIDCGYTRLIIEIADYLIFGEKNTISVRAYNSSQPNSRWYTG... |
| UPI000B363FE9 | 20-363 | 344 | DYYTYGGLIRPVILELLPADSCWIEQVHITPYKSSWEPEYDGQWEARIQVRLHSLSDNPVSGRLQLKWSSLQDPDLSASSVWIDT... |
| A0A1F5Z2G5 | 80-478 | 399 | VPHTWKVAEETADYLGQAWYRKEFDAPSEWRDCTVRLEFEAVYHTATIWFNGQSVGSHTGKGYTAFIIDISAALLPGERNFLVVR... |
| A0A090VHW3 | 71-380 | 310 | HDWSIEGEYDESNPMGAQCGYLPAGFGWYRKTIDVPSSWKGKQVEIAFDGVFMNSTVWANGVKLGNRPYGWVSFAYDISDIADST... |
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