Basic Information

Gene Symbol
-
Assembly
GCA_963921995.1
Location
OY998171.1:8776783-8784976[+]

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 10 1.8e-05 0.0026 19.4 1.6 1 23 94 117 94 117 0.95
2 10 5e-06 0.0007 21.2 2.0 1 23 204 227 204 227 0.97
3 10 1.3e-05 0.0019 19.8 3.8 2 23 286 308 285 308 0.96
4 10 0.00055 0.077 14.7 0.5 1 23 314 336 314 336 0.97
5 10 6.1e-06 0.00085 20.9 0.9 1 23 342 364 342 364 0.98
6 10 1.2e-05 0.0017 19.9 0.3 1 23 370 393 370 393 0.93
7 10 0.00044 0.062 15.0 0.8 1 23 401 423 401 423 0.97
8 10 2.7e-07 3.7e-05 25.2 1.9 1 23 429 451 429 451 0.98
9 10 0.0035 0.49 12.2 0.5 2 23 459 482 458 482 0.95
10 10 8.4e-05 0.012 17.3 2.0 1 23 494 516 494 516 0.98

Sequence Information

Coding Sequence
atGTCGGAAGAGAACTCCATTTGTTGCGTGTGTGTCGAAGAGACGGAAAATTTAAGAGGCATTAACGAGACAGACTCCATCGGTGTCAGATACTTGGACAAGCTAAGGAGCTGCGCCCCTGCACAGAAATGGATAGATAACTTTCGGATCTGCATAAATTGTCTGTCAAAGTTAGACGAAGCCCACAAGTTCCTCCAGCAGTGTATTAAAAGTGAGAAGCTTCGAGAAAAATTCCTAGAAGAGTCAATTTTAGTCAAAGTCGAAGAGGAAAACAACGAATTCAGATGCGCCCTTTGTCCGCAAACCTTTACAAGAAAAAGCTCCGTCAAACGTCACATTACGAACCGCCATActggaaaattgaaaaaaagacaACCCAACAGGAAGAAGAAAGAGAAGCAAATAGAAGCTGTAGCGGAAGAATTGGAAGAAGAGATCAAAGAAGAAACAGATGCGGAAGAAAGTAAAATAGATATTGAAGCAGCAGATATTAAGGATCAAAGCAATCGCGTCGTAGATAGCGACGATGATTATATGCCGGATAACGACGCCGACGACCCACCAGAAGAAAACGAAGCTTACGAAGTCCCCGTGTACAACGGCGGCGATTATTACTGCGATTACTGCCCCCAGACTTTTACCAGAAGGAGTTCTGTTAAAAGACACGTCCTTAAACAACATACCGCACCTCCTGTTAAAAAGGAAATCGCTCTTCAAACCCAAAATCAAGATATTTCGGAAAATATAGAACTTAAAAATGAAGCAAGCGAGCAATCAGACGAGGGCAAGGTCAAATATAAGGTACGCAAACGGAGAATACTCGTAAAGAAAAAGACCGCTCCGAAAGGTCCGATCAAGTGCACCCATTGTCCGAAAATGTTCAACCGTAGAGACCACTGGAACATCCACATCAGAAACAACCACACGTTCGAAAGACCTTACGCTTGTGATCAGTGCGATTCCAAATTTACAAACTCGGTAGCTTTGTTAATGCACAAACGAAATCACAAAAACGAGAGGCCGTTTGTGTGCGACGCGTGTGGCAAAAATTTCGTTTCCAGCTCACATTTGGCCAACCACAAGAAAATTCACCAAAACAAACGTTCCTACCGGTGTGAAAAATGCGGGAAAGGTTTCAACATGAGTGGCGACTTGAAGAAACACAATATTATAGTTCACACAGACTCTTCGGAGTGGACGCATGTCTGCAACATATGTAGCAAGAGATTCCCTTTGAAAGCTGGGTTGGATAATCATGTGAAACGTCACATGGGGATTAGAGATTACATATGTCACATCTGTTCGAAGAATTTCATTGACAacaacgatttaaataaacacataCGCACTCATAGCGACGATAGAACGGTGTTGCCGTGTAATATATGTAAAGACaagctttttaaaactaagGACGGACTTGCAAAGCACTTAAAATCCAACCACAACATTGGAAACGCAGTTAGAGCAAAGAAAAAGTATCCGTGTACGTTGTGTTCAAAAGTATTTAGTGCCAACTACAAACTGCATAAACACGTTTTAACACACGCCAGTGGCGGAGCCGTACCCTCTTGGGAGGATGCGGTACTTCCATTGTTTATGCCCAAAAGTAGGATTCTACAGCCAAATCCTAGCTATGTttaa
Protein Sequence
MSEENSICCVCVEETENLRGINETDSIGVRYLDKLRSCAPAQKWIDNFRICINCLSKLDEAHKFLQQCIKSEKLREKFLEESILVKVEEENNEFRCALCPQTFTRKSSVKRHITNRHTGKLKKRQPNRKKKEKQIEAVAEELEEEIKEETDAEESKIDIEAADIKDQSNRVVDSDDDYMPDNDADDPPEENEAYEVPVYNGGDYYCDYCPQTFTRRSSVKRHVLKQHTAPPVKKEIALQTQNQDISENIELKNEASEQSDEGKVKYKVRKRRILVKKKTAPKGPIKCTHCPKMFNRRDHWNIHIRNNHTFERPYACDQCDSKFTNSVALLMHKRNHKNERPFVCDACGKNFVSSSHLANHKKIHQNKRSYRCEKCGKGFNMSGDLKKHNIIVHTDSSEWTHVCNICSKRFPLKAGLDNHVKRHMGIRDYICHICSKNFIDNNDLNKHIRTHSDDRTVLPCNICKDKLFKTKDGLAKHLKSNHNIGNAVRAKKKYPCTLCSKVFSANYKLHKHVLTHASGGAVPSWEDAVLPLFMPKSRILQPNPSYV

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

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