Basic Information

Gene Symbol
dl
Assembly
GCA_014737505.1
Location
JACXIM010000049.1:2493552-2497318[+]

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 2 1e-15 4.7e-12 46.6 0.1 1 47 67 112 67 113 0.95
2 2 3.8e-23 1.8e-19 70.7 0.1 80 169 111 201 109 201 0.96

Sequence Information

Coding Sequence
ATGGTATTCAGAGACGTAAACTGCGATTGTTCTGTCCGCGAGTGTCCACAGCAAAATCACACACGTACTGCGATTTTCCTGACCGAATACGGTGCACCATCCTATCTCTCACATCTGGGTTATCCGCCAGATTCCGCAGATTTTAACTGGAAAGGTCAATTGTCAGTGAAAATGGATATTATAAGGTCATCGTCATATGTTGAAATAATAGAACAACCGGCTAGTAATGATTCGCGCTTTCGTTATAAATGTGAACACAAATCGAATCCTATAAACGGTGTAAACAGTACGCCAGAAAAGAAAACATTTCCTAGTATAAAAATAATTTTATACAGAGTAGAAGTGTCATCAGAAAATATGACAGTCACATTTGTACATTTTAGTATTGAATGTATTAAAAAAAGGGATATTAAGGAGGCACTTAGAATAAGAGAGGAACTTCGCATAGATCCCTTCCAAACTGGCTTCGAACATAAAAAAGACGTTGCTAGTATTGATTTAAATACACTGCAGTTGTGCTTCGAAGTTTTTTTAGAGGGAACACAAATAGGAAAGTTAAATGTACCATTACAACCAGTTGTATCTAACCTTATATTTGATAAAAGGATAGTGTTAAATCCTTTAATATACGAGCTCAGTCACTCTAATGCGTCGGTCGCTGGTGGTACGAAAATGATTTTATTATGCGAGAAGATGATAAAGAATGATATACAAATTAGATTTTTCGAGAAGAAGGACGGGCGAGTGGTTTGGGAAGGATTCGGTGATTTTGAACCTGATAATGTATATAAACAAACAGCAATAGTATTCAGAACACCAGCATATAACATGCAATGA
Protein Sequence
MVFRDVNCDCSVRECPQQNHTRTAIFLTEYGAPSYLSHLGYPPDSADFNWKGQLSVKMDIIRSSSYVEIIEQPASNDSRFRYKCEHKSNPINGVNSTPEKKTFPSIKIILYRVEVSSENMTVTFVHFSIECIKKRDIKEALRIREELRIDPFQTGFEHKKDVASIDLNTLQLCFEVFLEGTQIGKLNVPLQPVVSNLIFDKRIVLNPLIYELSHSNASVAGGTKMILLCEKMIKNDIQIRFFEKKDGRVVWEGFGDFEPDNVYKQTAIVFRTPAYNMQ

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

100% Identity
-
90% Identity
-
80% Identity
-