Basic Information

Gene Symbol
Rel
Assembly
GCA_963576555.1
Location
OY754959.1:124770412-124773153[-]

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 1.5e-47 8.4e-44 150.4 0.8 1 168 10 194 10 195 0.93
2 3 1.9 1e+04 -2.9 0.0 45 138 527 546 522 565 0.58
3 3 4.3 2.4e+04 -4.1 0.0 101 122 614 635 611 644 0.75

Sequence Information

Coding Sequence
atggaaataccACCATATACCAGCCAATTGGTGATACTTGAGCAGCCGATGGAAAAATTTCGATTTCGTTACAAGTCAGAAATGCATGGAACTCACGGTTCTCTTGCAGGTGACCGATCAGAAAAACACAGGAAAACATTTCCAGAAGTGCAACTAAAGAATTTTAACAGCACAGGAGTCATACGATGCAGCCTGTATCAGGCAAATATTGACAAACCATTGTTGCATTCCCACCACCTGGTGGTGCACAAGGACGACATGGACGTATGCGACCCTCATGATGTCTATGTATCCCCTGAGAAGGGTTATATAGCTCGATTTGAAAACATGGGTATTATACACACAGCTAAGAAGGAAATAGCAAGCGAACTTTTCaagaaaaagaaacgaaaattaaaatttgatctTCGAACCGAAGAGCTTTCACAAAAGCAAGTAAAGACCTTAAAGGAAGAAGCAGAACGTGAGACCAAAGTAATGGACCTGAACCAAGTCCGTCTTTGCTTTGAAGCATTTCAAATCGTAGATGGGGGACACTGGCAACCTATCTGTCAGCCTGTGTTCTCTCGACCAATCAGCAATCGTAAAAGTGCGCTTACAGGCGATCTGAAGATATGTCGGCTAAGTATTGCAGCCGGAAGTGCTGAGGGCGGAGATGATTTGATACTTTTAGTTgagaaagtaaataaaaataacatcaaagTTCGTTTCTTTGAGACCGTTGATGGAATTGAAGTATGGGAAGCCTTCGGTTATTTTACCGAAGCCCATGTACATCACCAGTATGCAATTGTAGTGCGCACACCGGCATATAAAAACAAGGATATCGATAGCCACGTTGATGTTTTCATTGAATTGGTACGAGAATCCGACAACGAGCGCAGTACTGCAGCACCATTTCGATATAAACCGCGTGATATTGTTTTGTCACGTAAGCGAAGACGTACTGCAAACTCACCATCAAGTTCATACGAACTGCCAGAGTCAGTTTTAGCCAAAGGAATGCCACAACAAATTCAGTTGCTCAAAGATGCAACGCAGTTTCCACAAGATTTCCACGAAGTCTGTAATAATACgaatcattttaataattttcaacaaCACTTAGATTCTGACGAATTTTTAGATTATCATTCACTGTTATATAACGCAGGTAACAATGACCTTCTGCAAATAGATGGTGAAGCATCTATGCCTTCcggaaataaaaaacatagcATTAATACAAGACAAAGTATGAAACCGCAGTCTTATCATCCGACAATGAAACGTTTATCATACGCGTTTAAGAATAGCAGCAATCACGGTTTGGACCTGGtcaaaaacaaagttgaaagcATATATCAGGACTTTGCTGCATCTAACGATAACGAAGACACTATTGTccatgaaataataaaacaaggcATTAAATCAGATGCGATAATCGTCTTTAAAATACTGTCACAGCTAAAGCTTTTACATTTGCTATCGCAGACAAACAATTTACGCCGAACAGCATTACATGTGGCTTGTATGTTAGATCGCGATGCCTTCATACGACTCCTCCTCAGTCTAAAATGTGATCCTAATGTACAAGATTATCGCGGCAACACAGCACTTCATGTTGCTGTTGCCACGAAAAAAAACCTCAACGAGTGCATAATGGCCTTTGTCGCGCATATGTCTTCCTGCAACTTAAACGTTAATCTAACAAATGACGATGGTCTAACACCTCTGAACTTGGCCGTGCGTAAGAATAAAGCCGACTTTGTGAAGGACCTTTTGGAGAAATTGAATGCTTCTGCTAAAATTTCCAACTCAGTTGATGGTAATAACTCTCTCCATTTAGCAGTGCAGCAGCGAAATAAAGATATCGTAAAAATTATTCTGGAACATGGCAATGTAAACATAAACTCGAAAAATCGTGCGGGACAAACTGCCGTCGATTTGGCGCACGCTCTAACGGGATCAGTACGATCTGAGATTCTAAACCTACTACAAGCTTATTTGCCACCTACGAATATAATTGAACCCCATTCAACTAACTTCATCAAAGAAGAACCAGAAGACAGTTACAGTTCATCGGGAGATGAAGATGACATCTCGTCACAATCCAGTATGgaaattaaaaaggaaagtGATGCGTATGTTCGAAAACAACTAAACGACGAACATGTTTGTAGTCAACTTGCCAAAATGCTCAATGTAGACGAGAAATGGAGAAAGCTTGGGGAGCTACTAAAACTAGACCATCTGTTATTTATGTGGCCTGATGCTGAAGCCATGTTAAAGTGCTTGAGTAAATCTAATTTGTTAAATACATCTAATCTGTTAAGTGCCCTAGAAGAAGTCGATAACGATGCTGCCAGGATGATAACCTCATTATTGTAA
Protein Sequence
MEIPPYTSQLVILEQPMEKFRFRYKSEMHGTHGSLAGDRSEKHRKTFPEVQLKNFNSTGVIRCSLYQANIDKPLLHSHHLVVHKDDMDVCDPHDVYVSPEKGYIARFENMGIIHTAKKEIASELFKKKKRKLKFDLRTEELSQKQVKTLKEEAERETKVMDLNQVRLCFEAFQIVDGGHWQPICQPVFSRPISNRKSALTGDLKICRLSIAAGSAEGGDDLILLVEKVNKNNIKVRFFETVDGIEVWEAFGYFTEAHVHHQYAIVVRTPAYKNKDIDSHVDVFIELVRESDNERSTAAPFRYKPRDIVLSRKRRRTANSPSSSYELPESVLAKGMPQQIQLLKDATQFPQDFHEVCNNTNHFNNFQQHLDSDEFLDYHSLLYNAGNNDLLQIDGEASMPSGNKKHSINTRQSMKPQSYHPTMKRLSYAFKNSSNHGLDLVKNKVESIYQDFAASNDNEDTIVHEIIKQGIKSDAIIVFKILSQLKLLHLLSQTNNLRRTALHVACMLDRDAFIRLLLSLKCDPNVQDYRGNTALHVAVATKKNLNECIMAFVAHMSSCNLNVNLTNDDGLTPLNLAVRKNKADFVKDLLEKLNASAKISNSVDGNNSLHLAVQQRNKDIVKIILEHGNVNINSKNRAGQTAVDLAHALTGSVRSEILNLLQAYLPPTNIIEPHSTNFIKEEPEDSYSSSGDEDDISSQSSMEIKKESDAYVRKQLNDEHVCSQLAKMLNVDEKWRKLGELLKLDHLLFMWPDAEAMLKCLSKSNLLNTSNLLSALEEVDNDAARMITSLL

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

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