Eeuc014830.1


Basic Information
Transcription Factor Domain
Sequence Information
Similer Transcription Factors

Basic Information

Insect
Epistrophella euchroma
Gene Symbol
Gata4
Assembly
GCA_947049305.1
Location
CAMRIP010000126.1:1916646-1928764[+]

Transcription Factor Domain

TF Family
zf-GATA
Domain
zf-GATA domain
PFAM
PF00320
TF Group
Zinc-Coordinating Group
Description
This domain uses four cysteine residues to coordinate a zinc ion. This domain binds to DNA. Two GATA zinc fingers are found in the GATA transcription factors. However there are several proteins which only contain a single copy of the domain.
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 1.2e-20 7.7e-17 61.4 3.0 1 35 459 492 459 493 0.97

Sequence Information

Coding Sequence
ATGTGTAAGTTGTACGCTACCATTTCTCATAGTCTAACAATGTTTTCAGTCTACGCAAGACCATTAATAACGTCGGCTGCAAATGGTATGCAATATCTGCCCGGAAGTCCAACTCATGAAGCATCGCATATGTGGTCAAGTACATCAGATAATCTCATAGTGCCACCATCAGGTGGTAGCACAGTAGCTAATTCAACTCCAGATGAATACGGTTCCACCAAAAATAGTGTTGGCGGAACTTTACCTGCATTCCAGAGATTAACTTCAACAAGCGGCAACGGTGGTCATTTTTGTACTGCGAGTGGTCGTGGGGCAAATCAATATACAGCGTTAAATAGCTATAACATCAGGGGACAGAATGAACCTGGATGGCAAGGACAATATGAGCAAGGTACTGCAATTAGTTATGCCACGACACCGTCTACCATTACTGGAgtcatttcaaattcaaattctcGCGGACGAGCGACAAATGATTCAACAACACATCTATCAGCATCGGCTTCGTTATCTGCAAATACAAATAATCTCTTATCTCCAAAACAGTCCGGTTTTCGACCTCACCATAGCAGTACCACTGCGCTCCTCGATGTCATTGAGCAAGTAAGAATAGCCTTGGACGATAATAAAGTTACCTTTCTAGTTCTTCTCGATTACTCTAAAGCCTTCGATACAATTGATCATAACATTATGTGTCAAAAACTTTCTCGtctgtttaatttttcttttgaagcagTGAAACTTATGTTTTCCTATCTCACTGGGAGAAGCCAAGCAGTAGTTTCTGGAAATCAGGTATCTGAATTACTCTCACTGAGATATGGTGTTCCACAAGGATCTATTTTAGGACCGCTTCTTTTTTCGACATATGTAAATGATATACcacatttattaaaatattgcaaGATACAAATGTATGCtgatgatgttcagcttttCAAAAGTTGCCATCTGGGTTTTATAGAAGATTGTGTTAATGGTATTAATGAAGACCTTAATGCTATCTTCCAGTGGTCTAATAAATGTGGTCTCGTACTAAACCCCTCTAAAACAAAATGCCTTGTCATTTCTAAAAAGACCCTTGATTTGTCGTACTTCCCTTCTGTGGAGCTAAATGGAACAACTGTAGAGTATGTGGATAGAGCTAGGAATTTGGGGGTTTGCTTTAATAGAACCCTGACTTGGAATGATCAAATCAATATAATTGTGGGAAGGACGTATGGAGCCTTAAGAAATCTTTCAGCCTTCAACAAATTTACACCACCTGGCACGAGAAAAATGCTAGCCAAATCACTTATTCTTCCTATCTTGACATATGGGTGTGAAATCTTCACCAACTCCGATGCGaGCGCATCACGTCGTCAGGGATTATCTTGTTCCAATTGCCAAACCACTCAAACATCTTTATGGCGACGCAATCCAAGTGGTGAGCCAGTTTGCAATGCCTGCGGCCTATATTTCAAACTGCATAGTGTTCAAAGGCCTTTAGCTATGAAAAAAGATACAATTCagaCTCGTAAACGAAAACCAAAGGGATCTAAATCTGCTGACAAATCATcttcgaataataataataaaaattcgaaTAATGCAAATATTATTCAGGATAGCAAACACGaactgcAAAGTCTTACATCAACGATTCAGCACGCTTCTCATTCGAATGTCAGCAGTCCAAATACATTAACCCCACCACCAACAGCATTGGCACACACATCAACTACCTCATCCGCTTCGTCAAATCATCAAGACATTATGCATGGAACACCATCGCCACCAATTAACCACCATCAGCATGACAACATGTCACCAATGCATTACAGCACGCCACTTTCAGTGCTAAATACTTCGGCATCGTCACTTgtcaataacaataacaacacaagTCAAAATAACAATGACAATTCGCTAAGTTCAAATatgaaatacaatttacaaaagtATCTAGCAATACAATCCGatcctcaacaacaacaacaactccaACAACAACTGCAACATCAAATGTTTGAACTGTCACCATCGCCAACCGACCAACAACATCATGGCTATAATTCGACAGAGTCACCTAATTATTTCTATGATCATATGTCAGGCGTAGAGCATGACGCAAACGGgattaaaatcgaaaatcttCACCTGCATCATCCAcatcagcaacagcaacaacatcaTCAAGCATCACAAATCATCCAAAATGCTATCAGTCGAAGTCCATCTGTTGAAGATGAGTATGAGATACATCAACGCCAGCAACATCAATTGCAAAATCATCATATCATGTCACAGATGAATTCATTCGGTGATTTGGAAAGAAAATTGGAACGGACTCTGGAGCGTGGTCCTATTGTTAAGACAGAATGA
Protein Sequence
MCKLYATISHSLTMFSVYARPLITSAANGMQYLPGSPTHEASHMWSSTSDNLIVPPSGGSTVANSTPDEYGSTKNSVGGTLPAFQRLTSTSGNGGHFCTASGRGANQYTALNSYNIRGQNEPGWQGQYEQGTAISYATTPSTITGVISNSNSRGRATNDSTTHLSASASLSANTNNLLSPKQSGFRPHHSSTTALLDVIEQVRIALDDNKVTFLVLLDYSKAFDTIDHNIMCQKLSRLFNFSFEAVKLMFSYLTGRSQAVVSGNQVSELLSLRYGVPQGSILGPLLFSTYVNDIPHLLKYCKIQMYADDVQLFKSCHLGFIEDCVNGINEDLNAIFQWSNKCGLVLNPSKTKCLVISKKTLDLSYFPSVELNGTTVEYVDRARNLGVCFNRTLTWNDQINIIVGRTYGALRNLSAFNKFTPPGTRKMLAKSLILPILTYGCEIFTNSDASASRRQGLSCSNCQTTQTSLWRRNPSGEPVCNACGLYFKLHSVQRPLAMKKDTIQTRKRKPKGSKSADKSSSNNNNKNSNNANIIQDSKHELQSLTSTIQHASHSNVSSPNTLTPPPTALAHTSTTSSASSNHQDIMHGTPSPPINHHQHDNMSPMHYSTPLSVLNTSASSLVNNNNNTSQNNNDNSLSSNMKYNLQKYLAIQSDPQQQQQLQQQLQHQMFELSPSPTDQQHHGYNSTESPNYFYDHMSGVEHDANGIKIENLHLHHPHQQQQQHHQASQIIQNAISRSPSVEDEYEIHQRQQHQLQNHHIMSQMNSFGDLERKLERTLERGPIVKTE

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

100% Identity
-
90% Identity
-
80% Identity
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