Basic Information

Gene Symbol
-
Assembly
GCA_030068095.1
Location
CM057955.1:9255202-9256713[-]

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 14 0.015 4.1 10.3 0.7 1 23 30 52 30 52 0.96
2 14 0.087 23 7.9 0.9 2 23 55 76 54 76 0.95
3 14 0.032 8.5 9.2 0.1 3 23 84 105 82 105 0.95
4 14 3.4e-06 0.0009 21.8 1.0 2 23 153 174 153 174 0.97
5 14 0.092 24 7.8 0.1 1 23 192 214 192 214 0.97
6 14 0.016 4.2 10.2 0.2 1 23 216 238 216 238 0.93
7 14 5.5 1.4e+03 2.2 6.7 2 23 245 269 244 269 0.80
8 14 0.0035 0.92 12.3 0.1 2 23 278 300 277 300 0.97
9 14 0.054 14 8.5 0.6 2 23 307 329 306 329 0.90
10 14 0.00017 0.044 16.4 0.4 2 21 341 360 341 361 0.93
11 14 0.00027 0.07 15.8 2.1 1 23 376 398 376 398 0.97
12 14 0.0085 2.2 11.1 0.6 1 23 404 426 404 426 0.90
13 14 6.1e-06 0.0016 21.0 2.0 1 23 432 454 432 454 0.96
14 14 0.00074 0.19 14.4 0.8 1 22 462 483 462 483 0.95

Sequence Information

Coding Sequence
ATGTCCAAAACTCAAAGGCAGGCGAGCCTGCACAAGCATTTCCACAACCAAAACTCCTACTTCACCACTGATAAACTTAAGAATATATTCAAGTGTAACTTTTGCTCTACCACGTCATCGAGTGAAAGTGCCATTAAAGTTCATTTAACAGAACATGCAACCAGTTGCAACACTTGTCATTTAAAATTCGAGAATGTTTTCTTGCTAGGGCTCCATATGGCGGAGCACGACGACTCCGAAAGAATCTTCTGTCCCTCCTGTGATTTCTCTGGAAAATTGCCTGCACTGTTAAAGAAACACATCAGCAGCAACCACTTTGTGGTTAAAGTAGAAGAAAACGACGAGGACTACAATGTTTCTAGTGACTTTGTAGAAAGTGAAGAGGATGAGGAAGAAGAGAAACCTAAGAAGAAGTCTTGCCTCAAGGAGGTGCGCAGGAGAACGAACGCCCAACGAGTATGCAAGGTCTGCGACAAAGAGTTCACCACAGCAAAAGACCTGAAGAACCACAAAAAGGTCCATAAAGCAGAAAGGCTCGAGTCCCTTTACAAATTCAATGCGGTCAAGGAGACTTACACCTGCGACACTTGCCTGAACGAGTTCGAAACGAAAGACCAAATCCTGGAGCACGTGGAGGTCCACACCTTCACTTGCCCGGTTTGctctcaaaaattcaaaaaagccCTTCTGATGGGCCTTCACATGGCCGAGCACAACCCGGAAGACTTCATAAGTTGTCCAATATGCAACCACGAGTTCAAAACCAGATGCAAGAGCAGACTGGCGAGGCACATCAGACAAACCCACCAAAAAGAACGTCCCAAGACCAGCCAGTGCGAGTACTGCGGCTCCTCCTACCTCTCGAAAACGATGCTGGAGGACCACATCCGGGTGGTTCACCTAAAAAAGGAACCCTCCAAGTGTATAGTCTGTGGCAGCACCTTCACTCTACAATCCAGCATGAGAATCCACCAAATAAACAAGCACCGGGTTGTGGACGAGAGCGAGCTGCCGTCCAACTATTGCACCTTGTGCAAGATGACCTTCAAGAAACCCTCCTCCTTGGAGAAACACTTGGAGATGAAACGTTGCATCCCCTCGCCGAGGGTCGAGCGCCAAGGTCACTTCATCTGCGATCTTTGTGGCAAAGAGTTCAGGTTTTTCAAGACCTTTAAACTGCACCTCAGGGAGCATGCGGGAGACAAGCCTTACAAGTGCTCCTTCTGTCCCAAATCATTCGTGATCAACTCCAAACGGTTGGCCCACGAGGTCTCGCACACCGACTCCAGGCCGTTTTCCTGCGAGAGCTGCGGTCAGAGCTACAAGACCTGGAAGCACCTCAGAAGGCACCTGGTGATCCACGGTACCAACCCCAAAGCGAGTTTCAACTGCTCGTTTTGCGGCAAAGAGTTTGCCAACAAAGACACCCAGAGGGGCCATATGAAGAAGTGTTCTAGGCCCGAGAGGCCTCCTGGGGAGCTGTTTTCCAGCACCTTCGGAGGTTCCGCCTAA
Protein Sequence
MSKTQRQASLHKHFHNQNSYFTTDKLKNIFKCNFCSTTSSSESAIKVHLTEHATSCNTCHLKFENVFLLGLHMAEHDDSERIFCPSCDFSGKLPALLKKHISSNHFVVKVEENDEDYNVSSDFVESEEDEEEEKPKKKSCLKEVRRRTNAQRVCKVCDKEFTTAKDLKNHKKVHKAERLESLYKFNAVKETYTCDTCLNEFETKDQILEHVEVHTFTCPVCSQKFKKALLMGLHMAEHNPEDFISCPICNHEFKTRCKSRLARHIRQTHQKERPKTSQCEYCGSSYLSKTMLEDHIRVVHLKKEPSKCIVCGSTFTLQSSMRIHQINKHRVVDESELPSNYCTLCKMTFKKPSSLEKHLEMKRCIPSPRVERQGHFICDLCGKEFRFFKTFKLHLREHAGDKPYKCSFCPKSFVINSKRLAHEVSHTDSRPFSCESCGQSYKTWKHLRRHLVIHGTNPKASFNCSFCGKEFANKDTQRGHMKKCSRPERPPGELFSSTFGGSA

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

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