Basic Information

Gene Symbol
-
Assembly
GCA_963693315.1
Location
OY856186.1:43415866-43417473[-]

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 12 0.0066 1.4 12.0 2.8 1 23 181 204 181 205 0.94
2 12 4.8e-06 0.00099 21.8 1.7 1 23 207 229 207 229 0.98
3 12 4.2e-05 0.0086 18.9 0.4 3 23 237 257 236 257 0.98
4 12 5.3e-07 0.00011 24.9 0.9 1 23 263 285 263 285 0.98
5 12 3.7e-05 0.0076 19.1 0.4 1 23 291 313 291 313 0.98
6 12 0.00095 0.19 14.6 1.9 1 23 319 342 319 342 0.96
7 12 0.00082 0.17 14.8 3.4 1 23 348 372 348 372 0.98
8 12 2.6e-07 5.3e-05 25.8 0.9 2 23 375 396 375 396 0.97
9 12 0.048 9.8 9.3 0.0 5 22 406 423 404 423 0.93
10 12 3.7e-05 0.0075 19.1 2.0 1 23 430 453 430 453 0.96
11 12 0.0001 0.021 17.6 2.4 3 23 460 480 458 480 0.98
12 12 0.00083 0.17 14.8 3.4 1 23 486 508 486 508 0.98

Sequence Information

Coding Sequence
atggATTTTAATAATGCTAGTTTCGAGGAAGATATAGTTGAATCTAATGATGAAAGTTCTGTAGATAGAAATGAAATTGATTTGCATAATATTTGTCGAGTTTGTATGGAATCTCAAAATTCTCAATCTGAGATGATTAATTTATTCTCAGAACCTAAATCGCTTATGGGATATTCTATGTCTACATATAAAGATGTTATTTCTGATTTCGCAAATATTAATATTGATTTAACCGATCAACTGCCATTACAGATATGTGAAAATTGTGAATCGAATGTTAGTTTTGCGTATTCGTTTAAGAAACTATGCGAGGAATCAGATATCATATTGCGTCAACTTATATTAAAAAAGTCAAATAGTTTTGATGAAACAAAATCTACGAAACTTTCAACAGACCACCCAACTGTATCGCAACAGTTAATAATTCAACTGGAAATAGAACAACAAACTTTACACAATGAAATTGACAAAACTGTTtgtgaaaataaacaaacttcAACTCCGATTTTAAATGAAACCAGTGAGAAGATTGTAAACACATTCGAATGTATTCAATGTTCggaaatattttatcaaaaatatcgTTTGAATCGTCATATACGAATGACACATCATACATTTCGATGTAAATTTTGTGGACAAGATTTTTCACGTTCACAAACGTTGGCACGCCATCTTAAAATTCACcaagaagaaaaaacaaaactttgcaCTTTTTGTGGGAAAGGATTTTTGAGAGCGGATGATTTGAAAAGACATATCCGGATACATACAGGCGAGAAACCATATGTATGCGATTTATGCCCCAAAACTTATAAACAATCATCAGAATTGAAAGAACATCAAAAAAGTCATCTTGGTCTTAAATCTTATGTATGCACTATATGCGGCAAATCTTTATCAACCAGAAACGGATTTTATGTTCATCTTAAAGTTCATAAAGGTGAAAAAAATCATGAATGTAAATCATGCCAAAAACGTTTTGTGACAACCGGAGAGTTATATTCACACATAAATTATATTCATTCCAAACAAAAACCGTTTACATGTAAAAACGAAAACTGTCAAAAAACGTTCGTTACAAAATTTCGATTGAAATCACACGAACGTTCGCATACAGAAGAGTGTCCGGAGTGTGGTAAATGTTTTTCATCGTATTCCAGTTTGATTGAACATCAAAAAATACATACGGTCCAGAATGTTCAAGAACATGAGATTTGTGATAAAAAATTAGGTGACTCGCGAGCGTTAATAAAACACATGAGGATTCGCACAGGTGAACGACCATTCGAATGTAATATGTGCAACGAAAAATTTGTTTCGTCTAGTTCTTTATCCATTCACATAAAACATCGACACACAAAAAACGAGTTCGGgtgtaaaatttgtaaacaaaaattctCTCTTAATTCAAAGTTAAAATCACACATGAACTCTCATATCGAAAATCAACCATTTGTTTGTGAGCACTGTGGATCAATATTTACgcaatatcaaaattttgtaaatcaTTTATGCGTACATGAAGAAATAACAGAACTTAAAGTTTAG
Protein Sequence
MDFNNASFEEDIVESNDESSVDRNEIDLHNICRVCMESQNSQSEMINLFSEPKSLMGYSMSTYKDVISDFANINIDLTDQLPLQICENCESNVSFAYSFKKLCEESDIILRQLILKKSNSFDETKSTKLSTDHPTVSQQLIIQLEIEQQTLHNEIDKTVCENKQTSTPILNETSEKIVNTFECIQCSEIFYQKYRLNRHIRMTHHTFRCKFCGQDFSRSQTLARHLKIHQEEKTKLCTFCGKGFLRADDLKRHIRIHTGEKPYVCDLCPKTYKQSSELKEHQKSHLGLKSYVCTICGKSLSTRNGFYVHLKVHKGEKNHECKSCQKRFVTTGELYSHINYIHSKQKPFTCKNENCQKTFVTKFRLKSHERSHTEECPECGKCFSSYSSLIEHQKIHTVQNVQEHEICDKKLGDSRALIKHMRIRTGERPFECNMCNEKFVSSSSLSIHIKHRHTKNEFGCKICKQKFSLNSKLKSHMNSHIENQPFVCEHCGSIFTQYQNFVNHLCVHEEITELKV

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

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