Basic Information

Gene Symbol
-
Assembly
GCA_905475395.1
Location
FR997758.1:43640982-43642520[-]

Transcription Factor Domain

TF Family
zf-C2H2
Domain
zf-C2H2 domain
PFAM
PF00096
TF Group
Zinc-Coordinating Group
Description
The C2H2 zinc finger is the classical zinc finger domain. The two conserved cysteines and histidines co-ordinate a zinc ion. The following pattern describes the zinc finger. #-X-C-X(1-5)-C-X3-#-X5-#-X2-H-X(3-6)-[H/C] Where X can be any amino acid, and numbers in brackets indicate the number of residues. The positions marked # are those that are important for the stable fold of the zinc finger. The final position can be either his or cys. The C2H2 zinc finger is composed of two short beta strands followed by an alpha helix. The amino terminal part of the helix binds the major groove in DNA binding zinc fingers. The accepted consensus binding sequence for Sp1 is usually defined by the asymmetric hexanucleotide core GGGCGG but this sequence does not include, among others, the GAG (=CTC) repeat that constitutes a high-affinity site for Sp1 binding to the wt1 promoter [1].
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 13 0.0033 0.07 14.0 0.7 1 23 92 114 92 114 0.97
2 13 1.3e-05 0.00028 21.6 1.0 1 23 120 142 120 142 0.97
3 13 7.3e-07 1.6e-05 25.5 0.6 1 23 148 170 148 170 0.98
4 13 3.9e-06 8.4e-05 23.2 2.4 1 23 176 198 176 198 0.98
5 13 0.37 8 7.5 0.1 5 17 245 257 244 258 0.92
6 13 7e-07 1.5e-05 25.5 1.3 1 23 266 288 266 288 0.98
7 13 2.3e-06 5e-05 23.9 4.2 1 23 294 316 294 316 0.99
8 13 8.5e-06 0.00018 22.1 0.2 1 23 322 344 322 344 0.98
9 13 1.7e-06 3.6e-05 24.4 1.3 1 23 350 372 350 372 0.98
10 13 3.1e-05 0.00067 20.3 0.3 2 23 379 400 378 400 0.97
11 13 0.002 0.043 14.7 2.4 1 23 406 427 406 427 0.87
12 13 2.6e-06 5.6e-05 23.7 0.9 2 23 434 455 433 455 0.97
13 13 0.00015 0.0033 18.2 6.2 1 23 461 483 461 483 0.98

Sequence Information

Coding Sequence
ATGGAACTTGAAAAACAATTAAATACGGAATTTAAAATGGAAAATGAAATATTTGAAGGAACTGTTACTAAAATAGAACAAGTATCACTTAAAGAAGAAATAATAGAAGAACCTGTTGAAATTAAACATGAAGAAATACATTTCAATGATGTATTTACAGAATATGAAAATGTTAAACTTGAACAACAATTGAATACAGAACCAATATCTAAAAATGAAATTTTTAATGAAAATGTTTTAGAACATCAACAGACTGACATCGAAGACAAACGTTTTTCATGTGAAGTTTGTGATAAAAAATTTATTAAAAAACAAATTTTAATTAGACATAAACTTATTCATTCTGGTGAAAAACCATTCTCATGTGAAATTTGTGATAGAAGATTTATTAAAAAACAGAATTTAATTAGACATAAACTAATTCATTCTGGTGAAAAACCATTTTCATGTGAAATTTGTAATAAACCATTTACTCAGTTAGCTAATTTAATTCAACATAAACGAACACATAGTGGTGAAAGACCGTTTTCATGTGATTTGTGTGAAAAATCATTTGCTAGTAAACATAACTTAATTGTTCATAAACGAACTCATACTGGAAAAAAACATTTCAATATGAAATCTGAAATTGTTAAAATTGAACAAGTATTTATTAAAGAAGAAATATCCGATGAAAATTTTGAAACGAGAGTTGTACCAATTAATAATGAAGAAAAACGTTTTTCTTATGAAGATTGTGATAAAACTTATAATCAGCAAAGCAGTCTTAAAGAAAATGATAGTGAAGAAAAACTATTTTCATGTGAAATTTGTAATAAAACATTTACTACAAAACAAAATTTAGTTGTTCATAAACGAATTCATACTGGGGAAAAACCTTATTCATGTGAAGTGTGTGAAAAAACATTTACTAGAAAGCATAGCTTAACTGTTCATAAACGAACTCATACTGGAGAAAAACCATTTACATGTGAAATTTGTGATAAAAAATTTTCTGGACTTGGTAATTTAGTTGTTCATAAACGAATTCATTCCGGCGAAAAACCATTTTCATGTGAACTGTGTGATAAAATGTTTATTGAGAAAAGTAAATTAATTAAACATCAACGAACACATTCGGGAACAAAACCGTTAACATGTGATGTTTGTGATAAAACATTTAATTTACAAAGTGATTTAGCTCTACATAAACGAATCCACACCGGTGAAAAAACTTATTCATGTGAAATTTGTAATAAACAATTTAGTGATAGAAGTAAATTAAAACATCAACGAACGCATACTGGAAAAAAACCGTTAACATGTGAAGTTTGTGATAAAACATTTAATTTACAAAGTGATTTAACGCGGCATAAACGAATTCACACCGGAGAAAAACCTTATTCATGTGAAATTTGTAGTAAAAACTTTAGTTTAAAACATCATTTAAATAAACATAAACGAATTCATTTTCGAGAACAAACTGAAACTGTTAGATTGGAAAATGGGGGAATTAAAGAAGAAATACCAATGGAAACTGTTAAAATTGAACATAGATAG
Protein Sequence
MELEKQLNTEFKMENEIFEGTVTKIEQVSLKEEIIEEPVEIKHEEIHFNDVFTEYENVKLEQQLNTEPISKNEIFNENVLEHQQTDIEDKRFSCEVCDKKFIKKQILIRHKLIHSGEKPFSCEICDRRFIKKQNLIRHKLIHSGEKPFSCEICNKPFTQLANLIQHKRTHSGERPFSCDLCEKSFASKHNLIVHKRTHTGKKHFNMKSEIVKIEQVFIKEEISDENFETRVVPINNEEKRFSYEDCDKTYNQQSSLKENDSEEKLFSCEICNKTFTTKQNLVVHKRIHTGEKPYSCEVCEKTFTRKHSLTVHKRTHTGEKPFTCEICDKKFSGLGNLVVHKRIHSGEKPFSCELCDKMFIEKSKLIKHQRTHSGTKPLTCDVCDKTFNLQSDLALHKRIHTGEKTYSCEICNKQFSDRSKLKHQRTHTGKKPLTCEVCDKTFNLQSDLTRHKRIHTGEKPYSCEICSKNFSLKHHLNKHKRIHFREQTETVRLENGGIKEEIPMETVKIEHR

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

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