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 |
|---|---|---|---|
| A0A1X6MUC8 | 1466-1787 | 322 | LNKQRVMLTHQFDKLKDQQKSDSRTMDATRRKFRTEVLMEADVICSTLSGAAYEYLEQFDFELIIIDEAAQAIELSSLIPLKYRC... |
| A0A1G8NQL2 | 1283-1554 | 272 | SVAQYLGPAKAYFDLVIFDEASQMPTAEAVGAMSRGKHVVIVGDPKQLPPTTFFQAERELEEEDGVLEDLDNILEDALALSLPET... |
| A0A165C9W8 | 432-767 | 336 | REQLPKGLATYSRLSADNVFTVPPVNVLSTFKVVVSTCLSASVPYGIDMPRGHFSHIFVDEGGQAMEPEALIAIRTLGDAYTNLI... |
| UPI00082DC3DA | 1477-1769 | 293 | TPCFLMSPSSVARFLPADSVEFDVVVFDEASQIRVPEAIGAMGRGKAVVVVGDSQQMPPSSMFAASGSGGDDEEVLGDDELPVPV... |
| Q9BXT6-2 | 7-289 | 283 | FTHVFVDEAGQASEPECLIPLGLMSDISGQIVLAGDPMQLGPVIKSRLAMAYGLNVSFLERLMSRPAYQRDENAFGACGAHNPLL... |
| R7MD42 | 325-706 | 382 | KFNTDQKNAVINSLTNNFFIISGGPGTGKTTIIKAVVDIYEQLNPSITSSDITLLAPTGRASKRLSESVLRKTSTIHKFLKWNKE... |
| A0A1G7IF77 | 1522-1815 | 294 | TPCFLMSPTSVARFLPADAVDFDVVVFDEASQIRVPEAIGAMGRGRSVVIVGDSKQMPPTSMFGPAGATMEDDDGPVDDALPVPA... |
| A0A0M3QWA5 | 829-1160 | 332 | YYHKRWSATVNSVVQKYCITDGVGNFRRPSLEDIMRHRIVVVTLSISMELATMGLPKGHFTHIFLDEAAQAMECEAIMPLALAND... |
| H2TG89 | 844-1175 | 332 | ANTPGIAISSTDEITLKYCLLSEDGHYFLPPTKVVLDQYNIVITTTCMAFNFHSLNLPQGFFTHIFIDEASQMLECDALIPLGLA... |
| A0A1W9SB77 | 406-700 | 295 | HKLLQYDFLGIYNKNETEPLTEKLIIIDEVSMMDSLLAKRLFMAITDNTQIILVGDSNQLPSVGPGDVLRDIIQSRLFNVIELDI... |
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