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 |
|---|---|---|---|
| A0A0K0J725 | 332-651 | 320 | VDIQCAFKKLDSGESNGIYGNNCDEHKKVWHDASKMLWHLKETIVSSKQVIVCTLTNNSLRFLREHGFQPTLTVIDEAAQALECV... |
| A0A1S1X666 | 719-1030 | 312 | LWQWFFLLTPVVSSTFASVRRQFRGVDAGSLGWLVVDEAGQAVPQAAVGAILRSQRTVVVGDPLQIEPVVTMPSKLVDKLGEYWL... |
| U1IF01 | 1272-1576 | 305 | PCFMMSPLSLAKFMKAGSLSFDILVIDEASQMRPEDALGAMLRSKQIVVVGDQKQLPPTDFFARSGDGGSGDDDDFEDLDDESIL... |
| A0A158Q9C8 | 113-367 | 255 | LNEIGCPVVIAEEAAAVLEAHLVVSIPLHCKHAILIGDHQQLRPNPAVYEMAKEYNLEISLFERMVRNSYPYKALLVQHRMSPLI... |
| UPI0009A3C489 | 2231-2561 | 331 | REKRKLEKEREELGRKLKELRGRTQDIQLNIILESHIICCTLSTCGIMLLEMSFRKLGHEPFSCIVVDEAGQACETEILIPLIYR... |
| A0A0A8NQ01 | 484-787 | 304 | ARSRQLVAGTCVGIGQGHIGIQDNIYDWVIIDEAARSIASELAIAMQSARRVLLVGDHLQLPPLYSDAHKTALARKLGISSSRTE... |
| A0A1S4ELX5 | 860-1250 | 391 | QKHVVSTFLDVCLENNRKLVMVDALAGTGKTTSLAKAIENLLLYTNPSHHHRVLLFGSSVGSLDEISSLLINLRKSLPSQAQKKK... |
| A0A1H9HX34 | 231-551 | 321 | IHQQNPKIKLVKIGEKLKSRDLPSSVQTMSFTEFTLKNKKSKIAETTIIGMTIYSAILNLGLRRNSINPNVLLIDEAGQIPLSIG... |
| A0A1E7HL66 | 1-228 | 228 | MELPFRHRLSLIEGPPGTGKTHLLGWILISLVQQAYEAGRPLRIAVSALTHQAIDNVLRKVVRLVNDYQLQKFPARCIKFGRWKD... |
| D3Q9D5 | 1266-1549 | 284 | AVAQYLDDPNLHFDLCVIDEASQMTPEHAVGALARSSQAVIVGDTNQLPPSSFFRKMVSEGDENEEDIVEDSILELANSAFRPSR... |
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