Gaus008032.1
Basic Information
- Insect
- Glossina austeni
- Gene Symbol
- dl
- Assembly
- GCA_000688735.1
- Location
- Scaffold519:104021-109424[-]
Transcription Factor Domain
- TF Family
- RHD
- Domain
- RHD domain
- PFAM
- PF00554
- TF Group
- Beta-Scaffold Factors
- Description
- Proteins containing the Rel homology domain (RHD) are eukaryotic transcription factors. The RHD is composed of two structural domains. This is the N-terminal DNA-binding domain that is similar to that found in P53. The C-terminal domain has an immunoglobulin-like fold (See PF16179) that functions as a dimerisation domain [1-2].
- Hmmscan Out
-
# of c-Evalue i-Evalue score bias hmm coord from hmm coord to ali coord from ali coord to env coord from env coord to acc 1 3 2e-11 3.9e-08 33.6 0.0 6 53 38 85 34 87 0.89 2 3 0.00052 1 9.4 0.0 145 168 84 107 82 108 0.94 3 3 3.8 7.4e+03 -3.1 0.0 28 56 142 170 139 173 0.73
Sequence Information
- Coding Sequence
- ATGATTGGTATTGATTACCGTCAGATTGTTTCGACACTGCTGTTTTGCTGCGGCTATAAAGGCGTCTCAGAATCTAATTATACGAACCGGAAACCAAAATGCATTCTAAATGAACATCATGAGTGCTCTATGGCGTTTCGATATGAAAGTGAGGGAAGATCTGGTGACCCAATACTTGGTGATAATTCAACGCTTGAAAATAAAACTTATCTGTCAATTGAAATAGTTGGCTATACAGGCCAAGCTATAGTATTTATAGATGATAAGAAAGGAGATTTTGTTAATCCCCTGTATCCGATTGTTTCGGAACCAATTTACGAAATGAAAGCGATGTCGGAATTGAAGATATGTCGTGTATGCACTTGTCCCGCCGGTAAGAACGATCAAATTGTTTGGCAAGATTACGGTTCTTTTAAAATTACCGACGTTCGTTCGATAGCTATTGCTTTCACCTTACCGCCTTGTCGCATAAAGAATATCAAAAGACCAGTTGACGTGTTTATACAATTAAAGCGACCCTCAGATGGACTCCTCAGTGAACCAGTTCCTTTTCGATATTCACCCTCGATTTCGGATGACGAACAATTAAAACGGAAAATTTATTCTACTTCTAGGAAATTTCTTCGAATGCAAGCGCTACAACGGCAAAGGAATCAATGGAATATATCGGGTATTAAACAAGTGTCGGACGACGTTTCAATGCTGCTGGATGAGTACTCCACAGTGCCTAGCACTAGCACTCCATATGTGCATAGTCATCAAATTGAATTACGAACCAACCAATAA
- Protein Sequence
- MIGIDYRQIVSTLLFCCGYKGVSESNYTNRKPKCILNEHHECSMAFRYESEGRSGDPILGDNSTLENKTYLSIEIVGYTGQAIVFIDDKKGDFVNPLYPIVSEPIYEMKAMSELKICRVCTCPAGKNDQIVWQDYGSFKITDVRSIAIAFTLPPCRIKNIKRPVDVFIQLKRPSDGLLSEPVPFRYSPSISDDEQLKRKIYSTSRKFLRMQALQRQRNQWNISGIKQVSDDVSMLLDEYSTVPSTSTPYVHSHQIELRTNQ
Similar Transcription Factors
Sequence clustering based on sequence similarity using MMseqs2
- 100% Identity
- -
- 90% Identity
- -
- 80% Identity
- -