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 |
|---|---|---|---|
| UPI0004849B4A | 989-1380 | 392 | PGIKVYERWYPYGVNEETGRRFLDMNPSVPVLPKLLEIFETRKADGILYEYDIDRPLVVGATSNACQYTRDRMEGDRFHPYSYPG... |
| A0A0F9N3U7 | 415-681 | 267 | LSISKYLKPDIFHFDLVLFDEASQVRPEDSIGAIMRSNQAIIVGDQKQLPPTSFFQVISDEYDEDDYEDVDFENILEKFSLSNFP... |
| A0A0F2C3L2 | 955-1332 | 378 | AIAAFTYTAIDTVLQGLLPALPPNVLVRRLSSGARATPDWLPPQMDVRRRTPEFDELIDDLGSGQPVFVFGTTEQLHAAIETRDA... |
| UPI0004B4663F | 723-1146 | 424 | AGDFEVVRQTETLMAKLAASPLVADAPQRLQKQLSDLQASAGAGSQEERSNVTQGRQAMESLLVRGANLLFATSNSPELERLLDE... |
| A0A0G4HJ38 | 637-877 | 241 | PDIVLFEEAGEVLVPQVLACCVAPRTQQLVLIGDHQQLPPKVETFVLAEKHNFATSPMKRLIECGLPFVTLMTQSRMHPEISTHL... |
| UPI00084A4717 | 748-1073 | 326 | IYYRHRWVATVHSDVQKYCLIEMENGMRRFVMPTQEQVLQHRVVVTTLNTSRCLFDLGLDRGSFTHILVDEAAQAMECEAITPLV... |
| L0J3X3 | 816-1110 | 295 | QTSVIAGTCVGYLRHPAVRHLDIDLCIVDEASRATLTEALVPVSRAKRWVVVGDTNQLPPIDEDLLRNKDLMNDNQLLPEDVKQT... |
| A0A0A0BNZ0 | 345-638 | 294 | LRQAVERYPAVTRHLRPCLVASAMLVPHVLPPGRGEDLVILDAAGHMGTETVVSAVSRGRQVLVVGDVRCASGTALPALAEVLPS... |
| W5JUC5 | 279-623 | 345 | DVYRYFSCIQERNINMTDSSILAISNLHSGKFEFPSMDDFLKTRILVCTVMTSGRLLALGVKPDTYDYIFIDECGSSKELSALVP... |
| A0A1F6CHY4 | 814-1112 | 299 | FNSNPGLQFIQSSKDAASAYGNGIVGGTAWLFTIPEWEDKLDFLFIDEAGQVSLANAIAVARSAKNVVLLGDQMQLEQPIQGTHP... |
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