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 |
|---|---|---|---|
| H3HDJ4 | 828-1130 | 303 | MKKIETVKEQADVEVLKRVQIIGMTTTGVAKNQRKIAAVAPPVVICEEAGEVLEAQLMACLSPACQQLVLIGDHKQLRPHIAEYN... |
| J4UEP7 | 922-1258 | 337 | RVSLLSKIQLVGATTTGAAKLGGVLTGFSPKILVIEEAGQVLEAHVLSSLVPSVEHVIAIGDPLQLRPSVNTYELSMDNRRGREL... |
| A0A1S4E082 | 545-820 | 276 | LCTASSSFQLNSMKMDPVKLLVIDEAAQLKECESVVPLQLPGIKHAILIGDECQLPAIVSSQVCDAAGYGRSLFERLSLLGHSKH... |
| A0A075H0P5 | 908-1141 | 234 | YAGRDAAAELSLAPRFPNTLSNGFSDRAKSTRFQSIPYQHRMHPSISAFPRDNFYSEDSDGSKLRDAMTTLSRRGDFSLIQGENR... |
| UPI000644F89D | 818-1170 | 353 | EIINDLKSMLKTETLSEDERTILQETIESIKSGSTIKRKDLGKSRVVGATCNSSLFSSLDGQEFPILFLDECSQMQEPLSLLPIC... |
| A0A0R1UZZ4 | 748-1023 | 276 | IIGTTFASFNRMFKHLGTDTLANLFVDEAGQAVPQASVGAIYRSKRVLVVGDPAQIEPVLTLDSNVLNLIAKNYAVTEKFISAAT... |
| A0A1J5NLG6 | 716-984 | 269 | DPNLYQFDTVIFDEASQICAEDAIGAIFRGRQLIVVGDREQLPPTNFFNVSVGEGEFADEDDDTEAYESILDVCSSVLHRKSLRW... |
| A0A067NHE5 | 756-978 | 223 | GKTSVIATITKLLVAMGKTVLLASYTHSAVDSILLKLKEDEKLRILRIGNIDKVHPDIRKFTISSQKKATSVEQIEELILTPPIV... |
| L0RX95 | 920-1208 | 289 | NIKPCLMLSPLTVSQFFKDIDFKFDTVIFDEASQIKPEAAISSLFRAKQVIIVGDKEQMPPSNFFGSVSNEDNDSEIKNVDEDVS... |
| UPI0006B0889E | 230-557 | 328 | PSTQVFRIFATSVDPEKIPAKLKKSCNYSETKRSYFYPFKEEIMKFRVVVMTLISTGRLISASFPHNHFTHIFIDEAGHAMEPEA... |
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