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 |
|---|---|---|---|
| A0A0N4U9K3 | 172-397 | 226 | LNKEQKNAVGAALDDKFPLVAICGPPGTGKTHVVEEIIQQAIKLGKRILVCAASNLAVENIYNRLKDKSVVYLHSLNASLSENSL... |
| UPI0003F0C58D | 2365-2721 | 357 | AESSPALDDIALHRVIRKAPSKYGNEIRQFDSRFRNAAIPSSKKDIEDYKALIKKAEKDALIGCDVILCTCSEAASKRLDKLCIL... |
| A0A1L7D287 | 202-579 | 378 | RKKWKPIKEGRANFTFNGEKANNVPFADFVNPIDGYPFVACTVHSLNNCFKEGQKAKYDLLIMDESSQALPLLGAVALSSAHRAV... |
| A8WP48 | 1521-1793 | 273 | SVCTLLDKKYETNKNECTTVQIDEASQLPEYTLLGLLKTYNKANFGLIGDIHQLPPFCMEELEGRLKEFGIGNTMERAIQNKLFP... |
| UPI00077A1057 | 514-762 | 249 | VKKKEVVVLLDRDLTKRYDAQTEDTSPGIYRLDKDEEYSTLATLWSNVAKLFKGDSDRDAQLRRQIIDLEPPVFSRKGRNDTVVM... |
| M5XY06 | 502-768 | 267 | CTASSSYKLHRVAMEPLTIVVIDEAAQLKECESTIPLQLPGVKHAVLVGDECQLPATVNSNVSVRAGFSRSLFERLSSMGHSKHL... |
| A0A060T056 | 281-627 | 347 | SDQGQIVQDVRNDIDAQVRKISKTRNGRERRAIFQELKELRKEYRIREKSVLYNLILQAQVVVSTLHGAGSRSIRDAYTQTNGKL... |
| A0A1B0D5V7 | 766-1120 | 355 | IDRNSIPEHLHPYCALCDISIDGTTSNEIKESETGLKMQCNSKYLAEKKVIIGTCQALGSFMTLNLRNKNHFTHAIIDEAGQCSE... |
| F8NX06 | 14-212 | 199 | VPINTIIFDEASQIEVGDYLPMLNRYHTTLGKLVFIGDHRQLAPYGQDDVGNLQSIFDFPHMHNKAIFLGIQYRMPHVIGEFISR... |
| A0A1I8GLQ3 | 1623-1889 | 267 | RVFEASRLVAMTTTGAARYRRVLRQVQPKIVIVEEAAEVLESHVLASLSPGCQHLVLIGDHKQLKPNPAVYELAKKYNLDVSLFE... |
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