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 |
|---|---|---|---|
| G0PLR7 | 1518-1797 | 280 | PDVLLSTTEYLEVGTKYLRRVESVQVLGEVSEEHGRLTAKFPKAKIAVIGDVLGETGGNLNPETVEILKESFSGLQGSQLISLRS... |
| E9H8P0 | 937-1211 | 275 | LCRTADVIGMTTTGAAKNRLLLESLKAKIVIVEEAAEVLESHIVCSLTPECQQLIMIGDHQQLRPSVNVHQLATKYHLDVSLFER... |
| A0A0N4VHS8 | 157-441 | 285 | LQKHFKAEIPDADTPFIRRYISQRILHDGNAYKEGKLKVWHNRFMDEAGLLPEMFLFDLVSFLPNIQKLLLTGDYKQLPPCVGAI... |
| A0A0C2X5W2 | 14-268 | 255 | SERDTHTLQSKRIIGCTTTAAAKYSELLQSVSPSVMLVEEAGEILESHILAALGREKNQLILIGDHKQLRPKVNSYPLTGDGFDL... |
| A0A0A0SLK6 | 808-1110 | 303 | EAFFGCTKDTDDEIQALGISVLQNKDIASYTRQACVIGTTAWGFSRDDLQGQFDYLFVDEAGQVSVANLIAMSRATSNIILMGDQ... |
| A0A0N1I638 | 1256-1540 | 285 | LQGADVVGLTTTGCAMNQNLLRSLRPSVLVVEEAAEVLESQLLACMTDSLKQIILIGDHFQLQPKVDTFQYEKVNHMNLSLFERL... |
| W5M9P3 | 1961-2292 | 332 | KLQRLTDEKFKLLEERKQLGRMLRETKVKKQEIQTKIVLDAHVICCTLNTSGSILLESAFRRLGHDPFCCVIVDEAGQATETETL... |
| A0A179FSI6 | 445-765 | 321 | LGKLDGGVALATTDWKHIRSHVSRLYHAVLTRTDFVATTPVAASGRFSKFFQPDIIFVDEASHARELTTLIPLAYFTPKAWIFTG... |
| A0A0Q8V7E7 | 1181-1467 | 287 | PCFMMSPLSVSQFLPGDMTFDAVIFDEASQVLPSDAINCIYRGAQLIVAGDEKQLPPTSFFTQAVSDDDTDEELDLFESVLKSCK... |
| UPI00082FBEB9 | 274-597 | 324 | NVVERLKRDAESIRKKAFKYKRNFDKTAFEERKRLKKELKEIRQDIRHIERDIRKQILTNAPVITGTFMGIYNEDLQSDEWDALI... |
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