Basic Information

Gene Symbol
pnr
Assembly
GCA_029286595.1
Location
JAGSMS010000018.1:13188589-13203200[-]

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 2 3.8 7.7e+03 -3.2 0.9 5 10 42 47 42 48 0.86
2 2 6e-18 1.2e-14 53.7 3.8 1 35 242 275 242 276 0.97

Sequence Information

Coding Sequence
ATGTTCGGCGGCagcggcggcgcgggcggcggctaCGGTGAGGGTGGGGAGGGCTACGGGCTGGGCTACGTGGGGGGAGGCCGCCTGCAGCAGTACGCGCACTTTGCCCCCACCAGAACGTCTGGCACCACCACCACGCCGCGCACCACGACACATACGGTGTTACCTTGGAGCAGGCGATGCAGCAGTAAGGCTTCGGGATGTTCGGCGGCagcggcggcgcgggcggcggctaCGGTGAGGGTGGGGAGGGCTACGGGCTGGGCTACGTGGGGGGAGGCCGCCTGCAGCAGTACGCGCACTTTGCCCCCACCAGAACGTCTGGCACCACCACCACGCCGCGCACCACGACACATACGAGGTCCGGCTGAATCAGAGGCGATAAGAGGGCGGGCGAGCGGGCCGCGCGCCGCTCAGTGTGCGCCGCGACCTCTGACCGGCAACTCCTGTCGCGACCTTCTCCTAGACACACTGACCCTGCCGAAGCTGACGAGAGGTGAAATGGACTCCATACCGCTCCCGGCAACCTGGCTGCAGAACATTGCCCTGATCGCAGgTAGTGGAAGCGTGGGCAGCGTGGGCGGCGTCGGCGGTGTCGGCGGCGTGGGCGGCGCGCTCTATGGACAGAACGTGGTCATGGGCTCCTGGTGCGCGCCCTACGACGCACTGCAGCGCCCCCCTGCGTACGATGGCGTGCTGGAGGCGTACGAGGAGGGCCGCGAGTGCGTGAACTGCGGCGCCAACAACACGCCGCTGTGGCGCCGCGACGCCACCGGCCACTACCTGTGCAACGCGTGCGGCCTCTACCACAAGATCAACGGCGTGAACCGGCCGCTCGTGAAGCCGAGCAAGCGGCTGGTGAGTCACCTGCAGGCAATCAGTAACGCTCTCTCTGCGAACAGGTGCCGACGCAGAGCTCCTCACGCGCTTCTATAA
Protein Sequence
MFGGSGGAGGGYGEGGEGYGLGYVGGGRLQQYAHFAPTRTSGTTTTPRTTTHTVLPWSRRCSSKASGCSAAAAARAAATVRVGRATGWATWGEAACSSTRTLPPPERLAPPPRRAPRHIRGPAESEAIRGRASGPRAAQCAPRPLTGNSCRDLLLDTLTLPKLTRGEMDSIPLPATWLQNIALIAGSGSVGSVGGVGGVGGVGGALYGQNVVMGSWCAPYDALQRPPAYDGVLEAYEEGRECVNCGANNTPLWRRDATGHYLCNACGLYHKINGVNRPLVKPSKRLVSHLQAISNALSANRCRRRAPHALL

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

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