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 |
|---|---|---|---|
| A0A0D6LW86 | 608-910 | 303 | DMIRIMFSVRFPDVICLTTSSLLNVFSHNGIFADQGRKFSLVICDEAGQVPEAMFIAITNRLPHVRQVYIGDQLQFAPHTRINNS... |
| A0A0K1JKL8 | 788-1072 | 285 | QITRLDSNDAVEAGLADGSMRLVGGTAWMWAREGMADAVDVLVIDEAGQFSLANAVAVAQSARSLVLLGDPQQLTQPTQAAHPFG... |
| UPI0009E3F484 | 1016-1294 | 279 | IEVMKRCDVIGMTVTGATIRANILADIKPAVMIVEEAAEILEGQLVAVIPPSVQHLIMIGDHKQLKPVVHFHRLRKHHHLDLSMF... |
| A0A1Q3EKK3 | 316-685 | 370 | WKMLMSYKVVVASCLDANNLVDAACTNTVLCALEEHVVSSLHPHRKIKYQIVPHWTHLLIDEAAQGSEPELLVPISVVLPRHELS... |
| A0A1H5WKI7 | 1114-1386 | 273 | RISESLPSDFGTFDLVIIDEASQSDITALPAILRAKKLLIVGDDKQVSPTAAFVAEEKILQLKHNFLRDQPFSELFLPGVSIYDL... |
| A0A0D0BF38 | 18-169 | 152 | IPPFERFASLVMTNNDDIQDLKSIFEVRHLKDHALFLNTQYRMPPQIGDFVSQAVYDGLLESNPQHLVTNERMACHFINIPSQEQ... |
| S7WAH1 | 1030-1258 | 229 | LIIEDASLCDELDTLQPLILSPNKIILVGDPTFKGLNLFNRMSLQFPMSSLFFQQRMDYSMMRFVSRYFYDGKMMYDEEMLKNRK... |
| K4LCT8 | 698-970 | 273 | TNFPVRGKLFDLVIIDEASQCDIPSAIPLLYRARRALIIGDPKQLTHITSLREVTEDNLARRFGLTPNDLLVFSYRSRSLFGLAS... |
| A7EQ30 | 862-1131 | 270 | RLVDHWKNAIRETIVDDLHEAVRSSELVRQNIHNIHDDVDRRVLQTAQIIGVTTTGLARKISTLRHVNSKVIICEEAGEVLEAHL... |
| A0A1L9PBH1 | 1341-1660 | 320 | PLRVTTNIHKVSPDLVQYTCDGMDNKEFHFNSNARALAIQRIQQARVVFTTCVGAGLGLLRNEKFQIVLIDESSQQSEPMSVIPL... |
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