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 |
|---|---|---|---|
| A0A0L8VCJ2 | 87-476 | 390 | VESALSGVGKSVMPDDRLWYKRSFSVPAGWQGKSILLNFEAVDYAASVWVNGALVGSHKGAYDRFSFDITKYLKNKGQQEIIVCV... |
| UPI000B367682 | 90-457 | 368 | TIHYTPDNYYQKDLGVFWYRKHFTVPEEMQGKKLYITFEAAMQAAEVWLNGEKVGSHQGGYTAFVIDLTDFVSYGEENVIAVRID... |
| A0A066VI78 | 113-878 | 766 | VQVSARFPSVVHLDLIEAGVIDDPNSSLRRRIRQAVGLNEGTSRWIIDDTWTYTANLSPLLSRVASNASGTSYSDYLLYFQGLDT... |
| UPI000696E6F8 | 138-520 | 383 | FKRDWPKVMGEPPKDWPAFKDRNPVGSYRRTFTIPANWDGKEVFANFDGVDSFFYLWVNGQYIGFSKDSRTLAAFNITKALKPGE... |
| UPI000B384AAD | 74-456 | 383 | WRELDLPHDWAVEQPFNPEANLSQGYRDRGYGWYRRTFQIPLEDKGKYFELHFDGIATYSTIWVNGTLLHRNWCGYTSSYIDITP... |
| A0A126Z7M5 | 34-392 | 359 | PATWEHVWSYRRHFDAPVAPADRSFVDFEAVNVAATVTLNGHRLGRHFGGYLPFSFEVTEHLRAGDNVLAVLVDARFNLNVPPNL... |
| R9K4I1 | 61-425 | 365 | DGSQAIEAGYLGMGIGYYRKRFSLPAAAKDKRIIIEFEGVMRDSTVWVNGCYAGSHISGYTGFAFDITELVFYDGEGENVILVKT... |
| A0A183B6Y5 | 43-465 | 423 | PYGLDSYSALKIGGFLDDPLLDTHDTDYRWVANKNWTFTHVFRVNPDSRRGLVNELVWNELDTFCRVSINDILLDQVNNSFLYRS... |
| Q3BQM2 | 61-648 | 588 | LPAQVPGAVQTDLIAAKIVPDPFYRDNEGKIQWAGLSDWQYQTRFNVDAATLKREHVELVFDGLDTFAEVTLNGKQLLSADNMFR... |
| A0A174IVN6 | 53-654 | 602 | AEVPGTVHQDLIHHKLLPSPFYGMNEQKIQWVENEDWEYRTSFTVTMEQLERDDAQLIFEGLDTYADVYLNGSLLLKSDNMFVGY... |
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