DPCfam | MC410376
Metacluster Properties and Pfam Annotations
| Number of UniRef50 seed sequences | 4866 |
|---|---|
| Mean domain length (aa) | 413 ± 88 aa |
| Residues in low-complexity regions (%) | 1.45 |
| Residues in coiled-coil regions (%) | 0.0 |
| Predicted disordered residues (%) | 21.43 |
| Average transmembrane regions | 0 |
| Dominant Pfam architecture(s) | PF02837- PF00703- PF02836 |
| Sequences matching dominant architecture (%) | 59.24 |
| Average overlap percent | 79.11 |
| Pfam Overlap Label | Equivalent |
Seed Sequences
| Protein ID | Range | Length | Seed Sequence |
|---|---|---|---|
| A0A1Q6EB69 | 96-493 | 398 | WDTIAVPSNWELKGYGKPIYTNIKYVFPTNPPIVPSDDNPTGCYRRDFSIPAEWDGKSIFLHFAGATASMTVWVNGEYAGYVQNA... |
| A0A0F8ZTI5 | 74-307 | 234 | WFKREFETPAAPAGKRAYLLFHGLDTYGTVWLNGKLLGRTDNMFLRYEFDATEALNESGTNELLVRLSPPRTGIEIDPDHAPLDW... |
| A0A0K8QEQ7 | 49-447 | 399 | NDLFAEQKIRDHVGLAWYQRTVRVPRGWSDQRIVLRFDAATHAAAVYVDDTLVAEHVGGYTPFEADLTGLIAPGTEFRLTVAVDN... |
| A0A1D1V5I9 | 27-325 | 299 | IVRPVGPMYPSGYFRQELIFDFFNYAGIHRSVCLLSLPEPHVTGLLLHPEVVTRLDGPAVGNVWYVVESSANNSGFAAANVSCAV... |
| A0A1R1D0Q2 | 370-739 | 370 | EAKLSGINRVEDLMWYKRSFTIPDNWSGQRVKINFGAVDYLATVYVNGQEVGNHKGGYTSFSFDITDYLVPGDNELIVHVLDETD... |
| A0A0S7X1D0 | 59-452 | 394 | GHKWQSVDVPGSLTAGLDRGAAEKVHFVWARKSFVLDKGRASKDVVLRWNGIRFGAAAWVNGHKVAEHAAIGPARVLLPAGVVKA... |
| UPI0009E4BA5B | 423-895 | 473 | SYVNVGAVPDPNYSQNQLHISDSFFYSDFWYRTEFQAPSFAHGQIAWLNFDGINWKADVFLNGEKIGRIEGGFIRGRFDVTEKLL... |
| UPI0003B35172 | 134-475 | 342 | PRYKHPEEYNFVGVYRKKIDIADASKQFVIDFMGVASCMDLYVNGAFVGYSEGSHNIAEFDLTGKLNQGENELVVVVHRWCNGTY... |
| A0A1W6MID2 | 64-457 | 394 | WAIYGPFNKEVDKQVVAITQNGEKVATEKTGRTGALPYIGTGWYRTQFTIDDFDASKKVLLQFEGAMSEPEIFLNGKKVGEWKYG... |
| A0A1B1Y3F3 | 71-470 | 400 | NWGWETAEKGDKKYYRGPGWYRKKLHIEPKTGRRYFLRFEAVGYKAEVYLNGKNIGNHMGGFGAFCFEITEHLNAKKENILAVKA... |
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