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 |
|---|---|---|---|
| A0A084QX05 | 867-1190 | 324 | NCVYGEVDLRCLQQADVIGATTTGLARNAKVLRKLRCKVLLCEEAGEVLEAHILTALIPSLEHAILIGDHLQLRPQIQNYELQST... |
| A0A0J6WY26 | 1062-1330 | 269 | TFDPVENHFDIAIVDEASQSSLEALAITFLADKIIVVGDDKQVSPMMVGVDQSKTDDILKKFLASYMNNWMLFNGTTSFYEIVGL... |
| G7E6M9 | 391-765 | 375 | DLLMFAHIEDDRFAMPSLQALLAKRVIVTTCLDAQMLLHVGCTNGLLQQIERNVMRSIHPLAPLSKVAQPHFTHLLVDEAGQCCE... |
| B2AY67 | 282-791 | 510 | RILVCGPSNISVDNIVERLSPHKIPLIRLGHPARLLPSVLNHSLDVLTRTSEAGAIVKDVRAEMDAKQASIRKTRSGKERKAIYA... |
| A0A0B3WQS2 | 64-361 | 298 | ANVIGITCVQSGSKKFESEYKDFDVVIIDESSKATPPELLLPMLKGKKIILVGDHKQLPPVIESELLDEMKYCDDELEDIKYELD... |
| E0VGG2 | 835-1159 | 325 | LRIYYHKRWVATVNSVVQKYCLIEMVNGIRTFKIPTLEDIVKHRIVVVTLSISMYLSTLGLKKGHFSHILLDEAAQAMECEAIMP... |
| UPI000947B752 | 889-1166 | 278 | EIMKEATVIGMTTTGAAKHQSLLQDIKPSIIVVEEAAEVLEAHIVTTLSQQCQHLILIGDHQQLRPNPTVYQLAKKYNMDISLFE... |
| A0A1X1WSL8 | 1070-1344 | 275 | YRIAEQVRVEPNLYDVVIVDEASQAGLEATFLQYLAPKIVVIGDDKQVSPSAVGVDQQQLHDLANQFLATDTFRASWMNPKRSYF... |
| A0A1D5U1X3 | 260-505 | 246 | RIASMVSFFDDCASRYDMLLEDAGNSDPVCKEAGFGTSLFGRLVTLKFGKHLLNIQYRMNPCISLFPNAQFYERKILDGTNVLSP... |
| UPI0004837F70 | 413-669 | 257 | RPIVLSTIYSLMNSKNNSVLYDYLIIDEASQTDMLACIGAMACAKNIIVVGDLKQLPQVDNKIFKKYFDMNIYNIDSGYEYYGNN... |
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