DPCfam | MC250234
Metacluster Properties and Pfam Annotations
| Number of UniRef50 seed sequences | 5121 |
|---|---|
| Mean domain length (aa) | 860 ± 130 aa |
| Residues in low-complexity regions (%) | 2.55 |
| Residues in coiled-coil regions (%) | 2.43 |
| Predicted disordered residues (%) | 17.99 |
| Average transmembrane regions | 0.93 |
| Dominant Pfam architecture(s) | PF07495 |
| Sequences matching dominant architecture (%) | 6.92 |
| Average overlap percent | 7.07 |
| Pfam Overlap Label | Extended |
Seed Sequences
| Protein ID | Range | Length | Seed Sequence |
|---|---|---|---|
| A0A1Q3LAJ6 | 43-1090 | 1048 | VDHYNFSGITINDGLPHNYIDNIYKDSQGFLWLCTHNGLSRFDGTNFVHYNISSEGVKLRSNFVNGVYEDPFHRLWIASEAGLDR... |
| E8MC03 | 167-811 | 645 | INDAKYIFSKWVVATNAGVYLSDGSRFDHIASSGQHYVEKLYFSDKRRELVIGSLNGALIFNIEDPSKAVKEIEGSHVLSITETS... |
| UPI0008337D63 | 27-879 | 853 | QLQGSPFIENFDPNDNHGSKFIWSIAQDQRGIMFFGDRHGLLEFDGNSWRMHQVPNKSVIRSIDTGPNGIIYVGAVNEFGFFKPD... |
| A0A1M7GLU5 | 46-1097 | 1052 | GLPTNRVNDMVQDRDGYLWFGTSNGLCRYDGYSFLVFPTMGVGAGQTNANVGTIHIDEKNQLMWLRSATFNYACYDLRRKKFVDY... |
| A0A1B9E263 | 27-1004 | 978 | GLANNAVTSVYKDKRGLMWFGTYDGISRFDGYNFLNFRNEPNDRNSLNNNRVVSICGTKNEIWIGTKGGISVYDYLSNQFSTRYY... |
| A0A174IQ04 | 239-1017 | 779 | TVYGRENGIPGGCANDIAQTNDGILWIGTYGGLYRYNGTEFKWVDEYASVKTVNCLYKDEEGRLWIGTNDGGVSIMIDETIINVV... |
| UPI0009FFBF1A | 67-950 | 884 | AFRRFGLRDGLPQSQVTTLLEDQRGFLWVGTNTGGVARLGASGFRTFAGPQGLKALFIHTLLESPSGSIWVGSQEGVSEIRGETV... |
| UPI000761B2EA | 34-1101 | 1068 | TYSIEDGLIHNGVTSMVEDDKGYLWFGSFEGLCRYDGLNTEVYKNSIGSPLLKNNQIKSLAKDTKGNVWIGTEKGISCYNQKLDQ... |
| A0A1M5AR43 | 40-1065 | 1026 | NCFFQDYRGLIWVGTNRGLFSYNGYSLDKNIPQAAGDVINMAVNCSLKVDSTHFYLGCNSGILLFDIEKCRYTLLPATSSNDVRS... |
| UPI0006D0B81F | 20-826 | 807 | TNAKSKEIRFQKLTTSDGLHSNVVHSMLQDSKGLIWLGTKEGLNRFDGYQIVNFPLPQGPFDKVADQRINALIEDMDQNIWMATQ... |
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