Basic Information

Gene Symbol
Gata3
Assembly
GCA_933228905.1
Location
CAKOGJ010000054.1:1085215-1092180[-]

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 7.8e-20 1.9e-15 59.1 4.7 1 35 238 271 238 272 0.98

Sequence Information

Coding Sequence
ATGAAAATTCACCGTCATCCCTTTTCACTCCCTCCTCCCTCTTCGTTCATTCGCTCTATTCTTCTGCCTTCCCCTCATCCAGGAGCGCTCGCGCCGGCTAAAACCAATGCGGTGCTTATGAGCACCCTCTCTCGGCTTAGCAGCCGTTCTTCAAACACTTCCCTCGCTCGGCTAACTCTTGTGCACCACGCCATAAGCGCTCGTCTACCGGCTCGTAATCCCAAGACCGTTGGCCGCTCGCTGAACCGCAAAGTGGTCATGTTGTGGAAGGGTATCCAAGGGTGCCCTGCGTCGACGTCTCAAGCATTCGCCCTCCCCCCCCCCTCATCGTCTTCGTTCCTCTCTTCCCCTGCGGTGCCCTGCATAATACGCCTGCTCCCCCTCCCTTTGGCTTCCCATCCCCCTCCCGACCTCTTCCCATTTCGCCTCACTCGGGCAGCTCGCCTCCTTGAACCCTCTTCCTCCCTCCCGGGATATAATGGGCGTGTGACGGGGGTCGAAAGGGGCAGGCAATCGACCGCGGTTTGCCTTTTCTTTCCCCCTGATCTAATAACAAAGGGTGGGGAAACAACAGTGTCGAGAGGCCCCGAAAAATACGACCACGGCCCTCGGGAAAAAGTACGCATTACGCTCACAGTCTCCACTCGCCGATACCTCTTCGCAAATGAATCGATTTTCTCCCGTTCCACCCACGCTAACAAGGGTCGAGAGTGCGTCAACTGTGGCGCCACGTCAACCCCTTTGTGGCGCCGCGACGGAACGGGCCACTACCTCTGCAACGCCTGCGGTCTTTATTACAAGATGAACGGACAGAACAGGCCACTCATTAAACCTAAACGACGCCTGAAGGAGACAACATTTCACCCCCTTTTCTTCGTGGTGGGGCACTCGCGTCAATCACCATTTGTTGCCCCTCAATGGCAACAATGCTGGGGCAACAATACGGCGTCGCGAGGGGTTTGA
Protein Sequence
MKIHRHPFSLPPPSSFIRSILLPSPHPGALAPAKTNAVLMSTLSRLSSRSSNTSLARLTLVHHAISARLPARNPKTVGRSLNRKVVMLWKGIQGCPASTSQAFALPPPSSSSFLSSPAVPCIIRLLPLPLASHPPPDLFPFRLTRAARLLEPSSSLPGYNGRVTGVERGRQSTAVCLFFPPDLITKGGETTVSRGPEKYDHGPREKVRITLTVSTRRYLFANESIFSRSTHANKGRECVNCGATSTPLWRRDGTGHYLCNACGLYYKMNGQNRPLIKPKRRLKETTFHPLFFVVGHSRQSPFVAPQWQQCWGNNTASRGV

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

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