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 |
|---|---|---|---|
| A8INS0 | 1070-1357 | 288 | NYLSTKQAKIVAMTCTHAALKRREFLQLAFKYDNLLMEEAAQILEIETFIPMLLQKPEDGVSRLKRVVLIGDHHQLPPVVKNQAF... |
| UPI00077E58F6 | 550-829 | 280 | FCTCSSSYELHSMIMEPLNLLIIDDAAQLKECELSIPLQLPGLKRAILFGDHCQLSASVSSNVSANAGLARSLFERMILMDVPKN... |
| A0A0C2ZH38 | 563-850 | 288 | DVVGATCIGINSNKLFANIPFDVVIVDESGQIQLHNLMVPLSRASKAILVGDHKQLPPVVDDELAGELEEQGFDSIFLQKSWFEI... |
| A0A0G2F2N5 | 3018-3335 | 318 | KVLLGTQIDSERDKKNAMARDLELNRRRIQQEIIDGAHVICATLSGSGHEMFQNLNIEFDTVIIDEAAQSVELSALIPLKYGCSK... |
| K0NM98 | 23-310 | 288 | PALDWIIFDEASQVPVPQALLSLIYSRGNFLFLGDVCQLPPIVLGNYGEYSREPADRFFNRSILSNLLDIYPKPHRQTLDVTYRM... |
| UPI0006D92071 | 1292-1564 | 273 | KAAHVIGVTTTGAAKYRKVLQDIRAKIVIVEEAAEVLEAHVVTTLSSACEHLILIGDHQQLRPSATVYELARNFNLEISLFERLV... |
| A0A1E5UPF1 | 936-1276 | 341 | DFIRIGRHEAVHPDVRDHCLSTAEVQSVDAIKARMEQVQVVGVTCLGIYHPLLAHKKFDTCIMDEAGQITLPVSLGPLMFATKFV... |
| UPI0009FB3D0F | 1249-1530 | 282 | SISQYLPAGQSQFDVVIFDEASQITTWDAVGAIARGTQTIIVGDPKQLPPTNFFGRSEQDDDEELEAYEKDLESILEEAKASGLP... |
| A0A0F9MSU0 | 674-1064 | 391 | RKVDDLVRKSSGAWVFNDQKRIVTETRLLEEQLDENCIIFANAHQLYRLRERVDIEFAFDLICVDEASQLPTSHFMASLGFIHKQ... |
| T1J9V5 | 923-1197 | 275 | LKNYDIIGMTTTGAAKYLDGIRALKPKIVIVEEAAEVLESHIITALSSSTQHLILIGDHKQLRPNINVYSLARHYHLDVSLFERM... |
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