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 |
|---|---|---|---|
| I0YKY9 | 691-1143 | 453 | KRIVVPFPTEAPLSGVGRSDVGTSRMWYRRNFTVPQDWNVAAGMQGASARRILLNFGAVDWEAEVFVNGQRMGLHQGGYDKFHFD... |
| A0A1U9Z0N6 | 43-396 | 354 | NYFDEKRYQRAFTYQKVFASEPDFAGKRVTLVFDAAMADSVVFLNGTEIAAHKDGYTPFEVEIGPHLKDGDNLLTVKIDGSENPD... |
| UPI000A1C7C85 | 95-495 | 401 | LPHDYSIDQGFTHAAPAEQESGYVLGGTGWYRKSFILSKDMQGKTISLDFDGIYMNATIWVNGQKLGEHHYGYTPFSFVLPNDIL... |
| Q7SEC4 | 97-487 | 391 | GIPHYTNVQYPFPVCPPFVPSENPTGTYRRSFFVPDTCETDQLRLRFDGVDSAYHIWINGVLIGYAQGSRNPSEFDVTEYVDRAG... |
| UPI000B36ADCB | 44-400 | 357 | SLPFNYCNENDYQMISGYRRVFTAPRSWEGRTLLLTVGAAAHDATVYCNGQRAGHHACGYTAFTVNLTGMVRLGEENVLAIRCDS... |
| UPI000658EBBC | 96-383 | 288 | YDAPIYTNVTYPIAVNPPYVPTENPTGCYSLTFNIDESWLQEGQTRIIFDGVNSAFHLWCNGRWVGYGQDSRLPSEFDLSAFLHA... |
| A0A1V6FGN2 | 92-474 | 383 | AIESSNFFNIPRIKADKNSAGCYVKEFFLENISSEIFINFAGVNSSAEIYVNGSFVGYSEDTFDEQEYRITDYVRTGKNKIAVVV... |
| UPI0005F77A81 | 32-552 | 521 | AIPAKIPATLANSLRVNGEDNLAQLDHYDWWYQCDLSSAQDNINAFAYLALDGLAGMGEIWLNGEKIAEFSNMFLPYHLDLKPLL... |
| A7LR03 | 111-500 | 390 | FKKDQPRVMSEPPKEYFSYKNRNPVGSYVTTFQIPPGERDKRYYLHFAGVESAMYVWVNGEKVGYSQNSMSPAEFDVTSYVKPGE... |
| A0A0M2HFQ2 | 46-582 | 537 | VHTDLLAAGLIPDPYLDDNEAALAWIGLVDWTYETTFEVAADELAGAARHDLVFDGVDTVAAISLNGALLAEVANQHRSYRFDVG... |
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