Btre003241.1


Basic Information
Transcription Factor Domain
Sequence Information
Similer Transcription Factors

Basic Information

Insect
Belonocnema treatae
Gene Symbol
Rel
Assembly
GCA_010883055.1
Location
NC:4922883-5004660[-]

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 1 8.3e-32 2.3e-28 98.9 0.6 38 168 14 166 11 167 0.91

Sequence Information

Coding Sequence
ATGAGGCATCTCCAAATCATGCCACGGATTATATCACAATTCCGGGTGCTACAgcTTATAAATTATCTCGGAAATGCTGTAATCAGATGTTCTCTCGTAACATCTGAGGATGAAAATAGAATGCCTCACGCCCATCATTTGATAAAGAGAGAAGGAAACCAAGAATTGGATgattttcatgaaattgaagTCTCGGAAGAATTTGGTCATGTAGCTGCGTTTAATGGAATGGGTATTATACATACggcaaaaaaaaacatcaaagatGAGTTGGTACGAAAGAAGAAAATTGAAGCATTAGAAAAATTGAGACAGAAAAATGTGAACGTGCGAACATTAAGTGTCACAGATTTAACTAAGattaatcaaGAAGCTGAAGAGGCAGCAAAGAATATGAACCTAAACAGTGTAGCTCTTTGTTTTCAAGCATTCTACAGAGATGCCAATGGGGTTTTGCAGATTTTAACGGATCCCGTTTATTCTCATCCAATCAATAATTTAAAAAGTGCCTTAACAGGAGAGTTAAAAATTTGCCGTATTGATAAGCACACGAGCAGCTGTGAAGGAAATGAAGAGATCTTCATTTTGGTCGAGAAAGTTGGGAAAAaaaatataaaaattaagttttacgaATTGGATGATTCTGATAACGAAGTCTGGTACGATTACGGCAAATTTTCAGAACTGGATGTTCATCACCAATATGCGATCGTCTTCAGAACACCAGCCTATAAGGATACAAATATTAGGTCTCATAAGGACGTATTTATTAAGCTAGAAAGGCCTTCCGATGGTGAATGTTCAAACAGCGTTAAATTCACATACAAAGCGagtgaaaaacttcaaaaaaACAAAAAACGCTCCCGAGTGTCAGATTCGACTTCAGGAAGTCTAGAATTTTCTTCTTCGCAAAatgtcaatgaaaatttaaacaaaaatagtcaaATGAACACGGAGGAGCTTATGTGGCTACTCAAGGATGCGACACTGCCTTCCGAAGAACTGGAACTTGCAATTGATAATATAGACATGGACAAATTTGTGGACACTTAtgtaaatcttttagaaaacgATCCAGGCGAAAACGTGTGTGATGGGCCTGAAAAACGAGACAATTCTACTTTTGCGAGAGATGTCCTAATCGAAATTctggaaattatcaaaaataagaaTCCACATGATATAAAAGATAAGATTATGGAATTGTTAAAAGAACTGACCGTTTATGGAGATACCCCTCTTCATGCTGCTCTGCGTTGCAATCAACCGGATATTACAAACACCTTGTTAGTGATTCTTGGCCTTCATTCCGATTTTAAAGCTCTTGCTAATGCAGAAAATAGTTTGGGCAAGacGCCCTTGCATTATGCAGTTATACAAAATGAACCGCAAGTGGTAAAAGCTCTTCTGATGTTGGGTGCCGATCCCAATTTTTGTGACGAAAATGATAGCACTCCGCTTCACGTGGCAGTCACTTacCCGGAGTGTGCTGCATGCGTGGATGTTTTATTAACGGCCAATCCGAATCTGGAGGCCCGTGACGAAGCAGGATGGGTTCCGCTCCATTTGGCAGCAAAAGCTGGTTCTCTGAGTGCAGTCAAATCCCTAATTAAGTCCGGGGCGGAAGTAAATAGCACGGATGTCTCATATGGACGTACAGCTCTTCATATTGCTGTGGAAGGCAGCCACAGTGAAATCGTCGAATATTTACTAAAAGAGACGAAAATCGAAGTGAATAAGAAAAACTTTGGAGGAAATACAGCCTTGCATAGTGCCGTTGTAATGAGTGGCGCCAGAGCAAAAGAAATTTGCGAATTATTAATTCGACATGGCGCGGATCCGTCGGTTTCTAACCGAGAACCAGCCGCTgtgGAAGAAGGCTGTGACGcgggaatcaaaaccgaactcGAATCAGATGACGAGGACCCAAATGGACAGACTTCGTTTGATCTTGCCAAGAGTAAATTAGAGATTTTGGAATTGCTGCAAGGTAAGGTACGGAAAGATGAGACTGGAGAGAATGTGGAGGTGAAAGAGGAAGTGATTGAAGAGGCAGAACCtcgaaataatttcaacaatgaGGATATGCTGAAATTAGCCAAAATTCTCGACAAAACGGGAGGGTGGAAAAAATTGGCGGAACGTATGGGTCACGGAATTTTGGTGCCTGTTTTGAGTGCAGGGACAACTAGTCCTTCCCTCACGCTTTTAAGTTACATTAATAACGTAGGAAAGAAAGTTTTGGATATATTGACAGAACTGAAGGAAAAAGAAGCTGTTGCAGAGCTTCAAGAGATGTTCAAAAATCAGAGGATAAATGAATGA
Protein Sequence
MRHLQIMPRIISQFRVLQLINYLGNAVIRCSLVTSEDENRMPHAHHLIKREGNQELDDFHEIEVSEEFGHVAAFNGMGIIHTAKKNIKDELVRKKKIEALEKLRQKNVNVRTLSVTDLTKINQEAEEAAKNMNLNSVALCFQAFYRDANGVLQILTDPVYSHPINNLKSALTGELKICRIDKHTSSCEGNEEIFILVEKVGKKNIKIKFYELDDSDNEVWYDYGKFSELDVHHQYAIVFRTPAYKDTNIRSHKDVFIKLERPSDGECSNSVKFTYKASEKLQKNKKRSRVSDSTSGSLEFSSSQNVNENLNKNSQMNTEELMWLLKDATLPSEELELAIDNIDMDKFVDTYVNLLENDPGENVCDGPEKRDNSTFARDVLIEILEIIKNKNPHDIKDKIMELLKELTVYGDTPLHAALRCNQPDITNTLLVILGLHSDFKALANAENSLGKTPLHYAVIQNEPQVVKALLMLGADPNFCDENDSTPLHVAVTYPECAACVDVLLTANPNLEARDEAGWVPLHLAAKAGSLSAVKSLIKSGAEVNSTDVSYGRTALHIAVEGSHSEIVEYLLKETKIEVNKKNFGGNTALHSAVVMSGARAKEICELLIRHGADPSVSNREPAAVEEGCDAGIKTELESDDEDPNGQTSFDLAKSKLEILELLQGKVRKDETGENVEVKEEVIEEAEPRNNFNNEDMLKLAKILDKTGGWKKLAERMGHGILVPVLSAGTTSPSLTLLSYINNVGKKVLDILTELKEKEAVAELQEMFKNQRINE

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

100% Identity
-
90% Identity
-
80% Identity
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