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 |
|---|---|---|---|
| U5EVJ9 | 676-1025 | 350 | PDEIAKFCGSIEIAAERTIEDNMLTTKSGMKLRMSGSTVGKHRITVGTLITLGQLMHIKYDVGHFTHIIVDEAAQCLEPSTAIPM... |
| A0A1F2S2Z3 | 632-907 | 276 | YLVAEMVDPAPGRYDLVIVDEASQLGIESLFLFYITKKMVVVGDDQQISPYGVGIATDAIAGLQHHYLDGIPHKVALSAQSSLYG... |
| UPI0009F8D71A | 1063-1365 | 303 | GDLVTAITPCILVSPDSVARFFPAHRRYVDIVVFDEASQITVPDAVGAMGRGRSTVVVGDPQQMPPAVPSGAGGDLEGARGGERD... |
| C1MK13 | 1023-1312 | 290 | RDRSNYLLTKQAKVVAMTCTHAAIKYSEFIRLGFKYDNLVMEESAQIQDIQAFIPMLLQKNDNGHSRLKRVVLIGDHHQLPPVVK... |
| UPI000691AF69 | 643-901 | 259 | TKNEFDYAILDESSQIFIENGLPILYLAKRKILAGDTQQMKPNNWFGTRQSDDSIFGQVDSLLDYALSLGVYPILLDKNYRSNHA... |
| C6GFJ7 | 2047-2355 | 309 | APPGGGKTTSLIDLYFSYTGDFKCLIVTANKNSQIDIKNKVNKRAEKRKAKSGEQASKAKGSGKDVMTIDSYLMNYFSSKCDILF... |
| A0A059LRX6 | 426-729 | 304 | LAAGGKEVSKKERARVRMAILEEANIVCSTLAFSGSHAFTRLTKKFDIVIIDEAAQAVEPSTLVPLTTGDAKQVYLVGDPVQLPA... |
| A0A1E1LKJ3 | 169-466 | 298 | RVDKMLWEDYIHFAKCMKVPRLDPDEDGWKSIKTDGKRCAKEIVGGADFVFSTCITAGSKWARQFRHECDFVFLDEAGSITEAEA... |
| A0A0W7V916 | 876-1213 | 338 | SRVRSDVDLRCLNQANIIGVTTTGLAKNLHLLRKLRSKVMLCEEAGEVLEAHILTALLPSIEHAILIGDHLQLRPQIQNYELQST... |
| A0A1K0IMX0 | 91-406 | 316 | SPLSVSDTLPLSPDLFDVVIFDEASQIPTEEAVPALSRARQVVVVGDEMQLPPTSFFTAGGAEGDDEIVVEEEGERIAINLDSDS... |
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