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 |
|---|---|---|---|
| S8BWJ0 | 754-1023 | 270 | LIGMTTTGVSKYRSLVAALQPKICLIEEAAETLEGPLIAACYPSIQQLILVGDHKQLKGHCSVRSLEEPPYNLAVSMFERLVTNG... |
| A0A023B9C1 | 837-1180 | 344 | RLLQASDVVGLTTTGLTRNLETLRRLRAKVLLCEEAGEVLEAHLLTSLLPSVEHVILIGDHQQLRPHSQNYDLSVESWQGAQYSF... |
| A0A1Q9P8A0 | 515-739 | 225 | NTIQNEAVEKILGTKNYSLIQGPAGTGKTYVIAKAAIELAKQGEKILITAFTNRAVDNVCKYLLENGFQNFVRLGSSHSIQKEIR... |
| A0A1W2ATC6 | 1495-1793 | 299 | LKPCLMMSPLSVSYFLEADSYHFDMVIFDEASQVFPQDALGSVMRAKQVIIAGDTRQLPPTNFFSSNTANKDADFDSEDDEDDFI... |
| UPI000A1C66FD | 470-708 | 239 | QNIVAGSSKPAPYLVFGPPGTGKTVTMVEAIKQIVKCQPQSCILVCAYTNKIADHLCQSLLMDVESKVIRIYAKNYSPQDVPDNL... |
| E5ACG2 | 673-973 | 301 | DVRVLRKARIIGCTTTGLSKYRGLLSGLRPRICLVEEAAETLEAPVTAACFPTLEHLVLVGDHQQLRPHTQVKEFEDAPYYLNLS... |
| A0A1W4WJF2 | 915-1186 | 272 | RTMDVVGMTTTGAARLQTTLQSLKCRVVIVEEAAEVLESHIIVSLTKHCQHLLLIGDHKQLRPSTADFHTETKYKLGISLFERMV... |
| UPI00077ACFB5 | 164-512 | 349 | VCPHAQDLRECEEGFAEARKRSEKIGEAEVDEYRKLIGKAERWALEQSGVQIVLCTCVTAGSRRIVTSCDNVQQCIVDECGMCME... |
| A0A0P6XMJ0 | 833-1124 | 292 | IAPCWVASPLSVSQLLDGSKRHFDLVIFDEASQILQEEAIPALYRAEQVVVAGDRHQLPPTTFFVTAVEGEDESLDDNETDQPVA... |
| E1ZCM0 | 326-583 | 258 | LTDQAGRVFTPNVVRVGVSIHHSVQSVALDTLVAHRLGGDAVKSVAGWEKERLRMAILEEANIAQYRMHPAIREFPSLNFYGGGL... |
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