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 |
|---|---|---|---|
| A0A1G4BAV2 | 171-610 | 440 | MIQGPPGTGRSYTGEALIKVLLANESKAKLGPILCVCYTNHALDQLLEHLLDGEMPTIIRVGSRSRSERLAPVNLRAVARDMTRT... |
| UPI0006AF98BF | 638-924 | 287 | IRYADVIACTAIGAASRSELSDVDFDLAIVDEAGQIGVADVLVPLVRARRAVLVGDHQQLPPFLDSEVEAWGEEAGDPAVRRLLT... |
| A0A0C3AT95 | 610-935 | 326 | DILRNVDIIGCTTTGAAKLTDLLKSVNPSVLLVEEAGQVLEAHILGSLVPSIEHVILIGDPLQLRPTISNYALSMDHPRGRDLYR... |
| A0A1E7FG68 | 875-1149 | 275 | LTTSQISDYLPPECLFDLVVIDESSQSDITALPGMMRGKQWLIVGDGKQVSPTEAFVSEENIESLRATLPHSPLEDALLPGRSFF... |
| A0A1C6NSI9 | 1-186 | 186 | MQLGPVIPAALKDQDRDGIKRWLLPDVFQHCGISEPADAQAHPACVTLTEQHRFGPAVMKLANDLAYGGVLRGGAQASYERPAHD... |
| A0A058ZBZ9 | 996-1347 | 352 | VASCATSRTLADVFPVPGDARPESAKADARGSGDPAPAVDLLLIDECSQLLEPASLVALTRFRPGHLVLVGDPLQLAPTLTSPFA... |
| S9PR54 | 1409-1728 | 320 | VTRQKNALEQSLDEMRNRHQSANRSMDLAKKQIQLQLLQDADVVCATLSASGHETLLNANISFPTVIIDEAAQAVELSSLIPLKF... |
| H2X5T1 | 113-356 | 244 | SVRSMFSTPGMDTFATEVELLLMDEASQLPRFALIGMAHKFPRARPALLGDIGQLPPYQDQEMPPMLGQWTVGNILNDATAFERF... |
| A0A080N3R1 | 975-1284 | 310 | QSFFLVVPVVSSSFASIHNMFSGMQKESLGWAIIDEAGQATTQSAAGLLQRARHAVAVGDPMQLKPIDTLPAQMRELLAYTHDIE... |
| UPI0008DE5099 | 630-907 | 278 | LIFCTVSSSIKLYREKMNPLELLVIDEAAQLKECESTIPLQLPGLRQVVLIGDERQLPAMVQSKVAENAEFGRSLFQRLVLLGHR... |
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