Basic Information

Gene Symbol
gata4
Assembly
GCA_947310385.1
Location
OX371223.1:86858556-86874096[-]

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 3 4.3e-18 7e-14 53.2 2.8 1 34 137 169 137 171 0.97
2 3 1.3e-18 2.1e-14 54.9 4.9 1 35 191 224 191 225 0.98
3 3 0.26 4.2e+03 -0.4 0.3 14 25 240 251 238 251 0.85

Sequence Information

Coding Sequence
ATGCAATATTTAAATACGAGTCCGATACATGATCGAACGCAAATGTGGCCCACAACGCTTAGCTCCAGTTATATTGATGAGGCATCAAGTCCGAAAGGTGTTTTACCCGCATTCGATCGATTTATATCGCCCAATTCATCATCGTACGGTGCAAACGGTCGCACAACTAATCAATATAGTACACTGTCGAATTATGGCGGACCATCTGTCGTGTCATCCCAATCGGAAACGCCATCATCATTTTATCAATATGAAACGAGTACGATAACGTATACCGGTTCATCGAATTTATCAACGATTAGTAGTCGAAATTCATCGACACCGTCCGATAATGTCATGTTTCCGTCAGCGTCCGCATCACTGTCAAAAATCATTGTAGATGATGATCTATTAATCGAAGGACGTGAATGTGTTAATTGTGGAGCTGTACAAACGCCATTATGGCGTCGTGACGGTACCGGCCATTATTTATGTAACGCTTGTGGCCTATATCATAAAATGAACGGAATAAATCGTCCGCTTGTAAGGCAACCAAGGCGGCTGAGTGCCCAACGTCGCATGGGATTATCGTGTACAAATTGCCAATCGGAAAAGACATCATTGTGGCGGCGAAATACTAGCGGCGAACCCGTTTGCAACGCATGTGGCCTATATTATAAATTGCATGGTGTGAATCGACCATTAGCTATGAAAAAAGAAAATATACAAACACGAAAACGCAAACCAAAGGGTAGTAAAAGTGCCTGCAACAACAACAATAATAATAACAATAATAATGATGGTGAATCGGGACCGCCACCGGGAAAATTGGCTCGATACAGTTCGAATAGTAACAATACGAATAATAATATTGCGACAACAACAACAGCGAGTCATGATACAGGTGATTAA
Protein Sequence
MQYLNTSPIHDRTQMWPTTLSSSYIDEASSPKGVLPAFDRFISPNSSSYGANGRTTNQYSTLSNYGGPSVVSSQSETPSSFYQYETSTITYTGSSNLSTISSRNSSTPSDNVMFPSASASLSKIIVDDDLLIEGRECVNCGAVQTPLWRRDGTGHYLCNACGLYHKMNGINRPLVRQPRRLSAQRRMGLSCTNCQSEKTSLWRRNTSGEPVCNACGLYYKLHGVNRPLAMKKENIQTRKRKPKGSKSACNNNNNNNNNNDGESGPPPGKLARYSSNSNNTNNNIATTTTASHDTGD

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

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