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 |
|---|---|---|---|
| I2JZ60 | 254-675 | 422 | SISLNSKQSDAFIKAMSPGCTCINGRVNTGKTELAKYLLKLYSSEFDERTIVVVASENLENYLMQRLNLDVLVSNLKGXDNSKAI... |
| A0A194WAU8 | 520-897 | 378 | DPLLQYCCIIDEKFALPAFPTIMQYRVVVTTCRDASMLSRARLTNSDLYTLEQELNSITMCIHPLDFPPQVKLHWSALIVDEAAQ... |
| Q4E3J9 | 1131-1414 | 284 | GADVIGLTTTGCAKNQNLLRSLRPSVLVVEEAAEVLESQLLACMTDSLQQIVLIGDHYQLQPKVETFLYEKVNKLNMSLFERLAK... |
| UPI0009AE6576 | 563-873 | 311 | RANYDEFLMRSRSLVCGTCVGIGLQHLNLAATHFDWVIIDEGARSSPSELAIAMQVGSRILLVGDHSQLRPTYEDEHKKAIAQSL... |
| A0A0N8EPA6 | 679-1046 | 368 | RIGREHRTHPSILPYSAETKTKNCHTVEELEAVYSVPVIAATCLSVGHPALIRRKFDLCIVDEAAQALQLAVLGPLTAAKKFVLV... |
| UPI0005ECA33A | 518-825 | 308 | LEARLRDLTARITRLRRDAEGEIVAAAMVVATTLARSRAHPAVARQQFDVVLVDEAGAAVLGEVLLAVARATTTATLLGDFLQLG... |
| A0A1V5GMN6 | 1290-1554 | 265 | QYIDPSYPKFDLVIFDEASQLPTCEAVGAIARGENVIVVGDPKQLPPTSFFASNQVDEENYEKEDLESVLDDCLALSMPQKHLLW... |
| A0A1H3IXJ5 | 888-1222 | 335 | PCFLMSPLSVSTFLTAKDIEFDVVIFDEASQIFPQDALGAIYRGKQLIVVGDSKQMPPSNFFNNTISSPNGNVSVVTKEEMESKN... |
| L7K234 | 299-585 | 287 | PAWVMPTQQVLASIPPQPGAFDVVIVDEASQVDITNLYLLWLAPRVIVVGDDKQCTPSEVALGGLDDVFTRLDNYLGDLPDHVRN... |
| A0A0L7QQA9 | 304-612 | 309 | CKEIFRMYAASTDRLVKLNLYSDHFSYVFIDEASQSIELESLIPLTLISSQNKPNEGILHAQIIVAGDPHQLGPIVQCKRIEHLL... |
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