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 |
|---|---|---|---|
| UPI0009858441 | 75-448 | 374 | NDVRLPHTANIEPLVVNNQWQGISWYRRHLDVPKELDGKKVFLEFEAAMNHSKIWINNQLVSDHHGGYLPVVIDATDYVLPGKEN... |
| UPI00083C4C4D | 46-653 | 608 | IPGGIYTDLQNSNVINNIFVGSNDVDTRWVSKLNWNYSRCFEVNEKLFYHDQIYLVFEGIDTFAEVLVNGQTVGTTNNMFVRYEF... |
| A0A139KMR9 | 75-443 | 369 | EYTYGRWYTIKGQRPSDETGTYRYKFDAPKSWAGQRVKIFFDGVMTDAEIMINGKPAGEMHQGGFYRFNYDITELLNLGKKNQLE... |
| A0A0F2LCN6 | 36-372 | 337 | GEAVYVPASWNEQNPEWDQYGGIAWYQRDFYAYPELAGKLAWAVFEGAGYRAKVWLNGEYIGGHEGSFTAFRLKAPVKPGENRLV... |
| A0A1Q7WHG3 | 3-327 | 325 | YRATVWVNGVQVATHTGGYTAFDIDVTAALRGTGPQELIVGVEDATETAPYDAPIGKQRNNPSGIWYTSSSGIWQTVWMEPVAAA... |
| A0A1C5R6D6 | 74-494 | 421 | LMPNEYLWYRTKIKCQEWDNKALQERLLLHFGAVDQSCKIWMNGHFVVSHVGGYLPFSCDISEYVHSGENELVIMVQDLSDTSYH... |
| F7KDR4 | 37-446 | 410 | SDLVRLPGTTDSNGKGQGPEKQNYRNLNRKNSYMGQAWYQKKIWVPESFSGKYVTLFLERCLWDTMLWMDDQFVGAGESLAAPHV... |
| A0A0C7QJU4 | 80-461 | 382 | GNWQLQGYGKMHYSDLWYNFPINPPYVPTENPTGIYKRNFTIDESWMGEKIILKFNGVDSSYNVWVNGKEVGYSKGARIQSEFDI... |
| UPI0001B559DE | 4-295 | 292 | EPHVIWYHRTSGIWQPVWLEEVPEQHLTALHWESDIAHARVRCRTRLDRWPDQPLDLTLRLRLGDRLLAEQRVRLEGPENETDIA... |
| A0A194VI70 | 84-675 | 592 | MEMHRNDTCYEEPWIFRQEFSLNPGPGKHFLLESNGITSKADIFLNGRQIATKEFQAGSYGGHTYDITHIANNSNALVVKVYPTN... |
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