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 |
|---|---|---|---|
| A0A075FMQ4 | 140-479 | 340 | RIEEHPLQEEVRELIGLQESLQRRLPTFKGKEKGLAHRDLKMGWKAIRALETSMNDDVLDGAEVICSTCIGVGHQILGQRKFSNI... |
| A0A0L0HIL6 | 1175-1465 | 291 | DRSNYLLVKEAKIIAMTCTHAALKRREFVQLGFKYDNVVMEEAAQILEVETFIPLLLQNSDPDTGASRLKRVVMIGDHNQLPPVV... |
| A0A075AUX8 | 141-442 | 302 | IQNEIRELNRSLDDNRFKLKLKILNDAQIICSTLSASAHDILKKVQSFDLVIVDEACQAVELSTLIPLKYNPKKVILVGDPNQLP... |
| A0A1S7SK80 | 839-1127 | 289 | FNAAVVNDARVIAGTCVGVAGVRGIEDVQFDLCIVDEASKATATEILIPMSKSKKWIVVGDPEQLPPFFEDFGDELLEQFDEEED... |
| B5IF80 | 286-601 | 316 | QLKEAKRINDLHSAKLLGNEIQNYDEPMKIKIEERNNLLKAAQEEIIYKSKVIGSTLIKSQLPPLINEDFDVVIMDEASQASITL... |
| A0A1W7MBH9 | 1294-1573 | 280 | LSIAQYLPPDQALFDIVIFDEASQITPWDAIGAMARGKQVIIAGDPRQMPPSNNFERQGNSVSDDDDTEEDMESILDECLGAGVP... |
| A0A1Q7WUV5 | 820-1098 | 279 | EEFARPILERASILAATCLISGGFYLKNQEFDWAIIDEAGRATAPELLVALVRARRAIIVGDERQLPPMLDEDLTTAPLARLGTT... |
| A0A1G4LN87 | 562-976 | 415 | ENKNDININSDDAIEAIKAMWNTVHCICPVISTTFASFSSMYRGMPKDFIPYLFIDEAGQATPLQAVGALWRSKKVLVVGDPLQI... |
| B7FVK2 | 914-1183 | 270 | TASQISDYLPSECLFDLVIIDEASQSDIRVLPGMLRGKQWLIVGDGKQVSPTEAFVSEEQIDALRAALPPSPLEDSLLPGQSFFD... |
| A0A0J1B764 | 1305-1590 | 286 | SIAQYLPSDQALFDVVIFDEASQITTWDAIGAIARGRQTIIVGDPKQLPPTNFFGRTDDDETNDDIEDHEKDLESILDEAKASGL... |
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