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 |
|---|---|---|---|
| UPI00077A59F9 | 1221-1500 | 280 | IAKPVLPYSVHSTGSDNQELKELQALLKGDLTPNERTHVRKSIERHKLGENKKKLSLVRVVGVTCAATSFPHLDKLKFPVSLQST... |
| A0A078KCS0 | 1368-1655 | 288 | NYLIADECTQIDELTLLKFFIRYSIKKIILIGDIMQLGFVIKSKSDLCRSLFSRLIENELFIKYFFIKQCKNDIENKEIVVNYDK... |
| E1WVV4 | 713-1011 | 299 | WNTFWLIVPVVSSTFASIQRMFSQMKTGTIPWLFVDEAGQAVPQAAAGAIWRSKRAVIVGDPFQIEPVVTIPEQIVNNISHHFGL... |
| A0A1B1LQT9 | 19-198 | 180 | CPLRVHRRCDEPMFRISNDIAYDGLMVHGKKTTQMNLPESGWLDVKGRTSEGNWVKEEGTAVEKLLLDLRHQYSLTADNVFLISP... |
| G2HUF9 | 557-900 | 344 | IHDRFDELNELKYFEEIRRNFLNDLQIEEDENIYDEELGYLSSNYMHKLNIWGATLFETGKNSFKNKSFDVVIVDEVSKATPPEL... |
| A0A0L0D277 | 1523-1802 | 280 | VEQRILEVADVVLCTLSSSALSILSKLNFPYVVIDEAAQAVEPSTLIPLARGADTLWLVGDPCQLPATVLSKVAEQANYHAPLFT... |
| A0A0A2DUP6 | 751-1127 | 377 | ESITPQSVKPHLLSERTAHCRSRKEILDITESCPVFVGTTLSLLGHALLWSRKPFDVLIVDEAAQLLEPQLLGLLTATVDEDGER... |
| Q8BQU5 | 185-490 | 306 | LKELNALLKEELTPIERVYVRKSIEQHKLGTNRVLLKQVRVVGVTCAACAFPCLNDLKFPVVVLDECSQMTEPASLLPIARFQCE... |
| A0A131YT22 | 602-951 | 350 | RILYEYRMPSRVDRRLLQYCLEVPRDQQSKQGPWFRQPTAEEIEAHRVVVTTLSSSQMILASNIKRGFFTHIFIDEAAQAMETEC... |
| A0A0R0MH43 | 1134-1428 | 295 | LDNANVVGITCVQAANYNFSEEFKYFDVVIIDEVSKCTPPELLIPALKAKKLVMVGDHRQLPPMIDSDTVEEVAQTMENSREEIG... |
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