Basic Information

Gene Symbol
-
Assembly
GCA_905220545.1
Location
HG992200.1:4476952-4479190[+]

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 0.0012 0.15 13.9 0.5 2 23 68 89 67 89 0.95
2 14 0.0049 0.6 12.0 1.7 1 23 100 123 100 123 0.96
3 14 2.3e-06 0.00028 22.5 3.1 2 23 135 157 134 157 0.96
4 14 0.0095 1.2 11.1 2.0 1 23 162 185 162 185 0.98
5 14 0.13 17 7.5 4.7 1 23 192 215 192 215 0.94
6 14 0.054 6.6 8.7 2.6 2 23 224 245 223 245 0.95
7 14 0.0059 0.72 11.8 0.1 1 23 250 273 250 273 0.97
8 14 0.00058 0.072 14.9 6.9 1 23 280 303 280 303 0.95
9 14 8.9e-06 0.0011 20.6 1.0 2 23 312 334 311 334 0.95
10 14 0.00068 0.083 14.7 0.3 1 23 339 362 339 362 0.97
11 14 0.00015 0.018 16.8 3.8 1 23 369 392 369 392 0.94
12 14 0.085 11 8.1 1.0 2 23 401 422 400 422 0.94
13 14 0.00015 0.018 16.8 1.8 1 23 427 450 427 450 0.98
14 14 0.017 2 10.3 2.2 1 23 457 480 457 480 0.88

Sequence Information

Coding Sequence
ATGGATTACAATTTGTTGTCGATAATTAAGAAAGAAAAAGGTATAGAACACAAAAACGACAACTATTCACGTTTATCATGCGATGTGCAGCATGTTAAAGTTGAAATTGAAAATGGCTTCGACGACTGTTTACAAAATAGTGTTTTGTCAAATAATCAGCAAGaaacttttaattatgataACTTTAAAGAGGAAAAACAGTCTTGTTCTATATGTAGTGAAAACTTTATTAATAGctattctttatataaacataatttaatacaCCTAAAAGTGCCTTTAGAGCGACGGAAACTCTTTATATGTGTCGTCTGTTCTAATTTTTATGAAACAAAGAAACAACTTCAACATCACATTACAACAGCACACGAAGATAAAACATTATATACGGTCACAACCGTTCAATGTCCAAAATGCCCGAAAATATTTAACCGTAAAAGTTATTTGTCGAAACATTTAAGGAACTGTCACAGTGGAGGAACATTTCAATGTAAAATTTGCAAGTCAGTGAAGAAGAGTAAGCAGTACTTATTGAATCATATGCGGAGTGTGCATGATGTCGATGGAATGTTGCACAGTTGTGATATATGTGGAAAGAGTCTTAAATCTCTGAGAAGGgtgaaaatacataaaaaaaattgtcatacTTATCAGGAACGTATTACCGTTCAATGTCCAAAATGtccgaaaatattaaaaaaaagatcctTGACAACACATTTAAAGAACTGTCACAGTGAAGGAACGTTTCCGTGTAAAATTTGCAAGTCAGTGTTGAAGAGTGAGCCGTCCTTAGTGGGGCATATGCGGATGGTGCATGATGACGATGGAATGTTGCATCATTGTGATATATGTGGAAAGAGTTTTAAATCTCCGAGCAAGGTGAAAATACATAAGAAAAATTGTCATACTTATCGGGAACGTATTACCATTCAATGTCCAAAATGTCCGAAAATATTTAACAGGAAAAATGCCTTGATGGCACATTTAAAGCACTCTCACAGTGAAGCAACGTTTCAGTGTAAAATTTGTAAGGCAGTGTTGAAACATGAGCCTTCCTTAGTGGCGCATATGAAGGAGGTGCATTATGACGATGGAATGTTGCATCATTGTGAGATATGCGGAAAGGGTTTTAAATCTCCAAGCAAGGTGaaaaaacatgaaaaatattCTCATACTGATCAGGAACGTATTACCATTCAATGTCCAAAATGTCcacaaatattaaatacaagTGCCTTGACGACACATTTAAAGCAATGTCACAGTGAAGAAATGTTTCAATGTAAAATTTGCAAGTCAGTGTTGAAGAGTAAGCGTTACTTATCGACTCATATGCGGATGGTGCATGATGACGATGGAATGTTGCATAGTTGTGACATATGCGGAAAGAGTTTTAAATGGGCATTATCGGTgacaacacataaaaaaaaatttcatacttATCAGGAAGGTTCAATGTCTAAAATTCTTGAAAATATTAAACAGGAAAAGATCCTTGATGACACATTTAAAGAACTGTCGCAGTGA
Protein Sequence
MDYNLLSIIKKEKGIEHKNDNYSRLSCDVQHVKVEIENGFDDCLQNSVLSNNQQETFNYDNFKEEKQSCSICSENFINSYSLYKHNLIHLKVPLERRKLFICVVCSNFYETKKQLQHHITTAHEDKTLYTVTTVQCPKCPKIFNRKSYLSKHLRNCHSGGTFQCKICKSVKKSKQYLLNHMRSVHDVDGMLHSCDICGKSLKSLRRVKIHKKNCHTYQERITVQCPKCPKILKKRSLTTHLKNCHSEGTFPCKICKSVLKSEPSLVGHMRMVHDDDGMLHHCDICGKSFKSPSKVKIHKKNCHTYRERITIQCPKCPKIFNRKNALMAHLKHSHSEATFQCKICKAVLKHEPSLVAHMKEVHYDDGMLHHCEICGKGFKSPSKVKKHEKYSHTDQERITIQCPKCPQILNTSALTTHLKQCHSEEMFQCKICKSVLKSKRYLSTHMRMVHDDDGMLHSCDICGKSFKWALSVTTHKKKFHTYQEGSMSKILENIKQEKILDDTFKELSQ*

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

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