Basic Information

Gene Symbol
-
Assembly
GCA_004193835.1
Location
NW:49443-63212[+]

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 0.00036 0.018 15.3 0.8 1 23 239 261 239 261 0.98
2 10 0.013 0.65 10.3 0.7 2 23 269 290 268 290 0.97
3 10 0.21 10 6.6 7.3 1 23 294 317 294 317 0.98
4 10 0.0028 0.14 12.5 4.3 1 23 324 346 324 346 0.98
5 10 0.00019 0.0096 16.1 3.9 1 23 352 374 352 374 0.96
6 10 7.4e-06 0.00037 20.6 0.1 2 23 381 403 380 403 0.93
7 10 0.0007 0.035 14.3 1.1 1 21 408 428 408 433 0.93
8 10 8.4e-05 0.0042 17.2 0.1 1 23 441 464 441 464 0.96
9 10 0.0075 0.37 11.1 1.6 1 23 470 493 470 493 0.95
10 10 1.1e-06 5.5e-05 23.2 0.9 2 23 499 520 498 520 0.97

Sequence Information

Coding Sequence
atgtttgaataTAGCTGCCATAATGCCTCCAATTTGGATAAAACTTGCCGCGGGTGTCTTAAAGTTGGTGACGAGGTGCGGATCATGACtactgaggaacaaaatgtgtatttaaaatttatagagGTATCTAATGAAGATTTAACTATGTATGTTTGTCTTCTATGTGCTCATTTGCTAAGGAAACTCGGCAAGTTCTTGATTCAGTGCCAGGAATCTtacaatgttttgaataactttCTAAAGgAATCCAAACCGCACAACCACATTCCACCGTTCCTGGCGTTCAATCTGGTCACAACGCAACCTGTAATAAACGAGTTTCAGAGCAATGTAGCATTGTTGTATGATTTTACACCGGACATGGTAACGTTTGACGATGGGCCAATTTTTGACGATGAAGACATACCGCTGGTGCTGTTAAAGAAAGAAGACAATGAGGCGGAGAATGGAGttaggaagaagaagaaaagtagGAAAAAAGCAGTGGACGTTGAAGGCAACGGACCTTCATTTATAAAATCCGAAGACTCCGCGCCTCAAAGCAAGGAACAAGTGAAATGCAAGAAGAAGCCAAAGAAAGAGTTGCGTGAAGGATTCAGCCCAAGAATGGTGCAGGAAACTGAGGAGTATGTGGTCATCAAGCTTACGAAAGAACAGGTGTTGCAAGAAATGCACGAGCGTTCTCAGAGCGAGGGATACAAGCGAACGCTTTTCAAGTGCGAAAAATGCGTCAAAGGATTCAATTTCGAAGACGTGCTGCAAACGCACATGGAGAAACATTCTATGgAGAATGGCTCTCTCCAATGCGACATTTGTACACAGTATTGTCCCAGCGTGGTGTCACTCAGGGGACATATGAAATCCCATACCACTAGATATAAATGCAAGCTATGCGGCTGCGTGCGACAATCGCGGCAACACTTATTGGAGCACCACAACACCACACACACTCGCGGCGCGCCCGACTACACCTGCCGGCATTGCGGGTTCACTACCGCCAAAAGAACGTCCATGCAACGTCACGTCAAGTCGCACCGGGAAGGCGAGAGACACGCGTGCCACCAGTGCGGTAAATTATTCAAGAGTCTGGAGACGCTGCGGGTTCACACCATGCGCCACGACAAATCCAAGCGCTTGCAGTGTGAAGAGTGCGGGCGCGTGTTCATATACCCGTCTCTCTTGCACCGCCACGTGCAAGCGGTTCACGTTAGGAAGGATTATTACTGCGTCGAATGCGACGTGGAGTTCAAATCCAGGGAGAATCTCAGGCTACATTTCAAGAAAGCTAAGCGACACAGAGACGCTTCTTCGTACCAGTACGAATGCGGTCAATGCCCCGAACGCTTCGTTTCACCGTCCACGCTATCTACCCACGTGACCATGGCCCATGGACAACTGAAACAACACTCCTGCCTAGTTTGCAGGCGTCTCTACAGCAGCAGGGACGCACTAAGAGCGCACACCAGAGACAAGCATTCCATAGACAATATACACTGCGGTATCTGCGACAAGAGTTTCAGCCGCAAGAGTATATTAGCAGCGCATATGAGGACACACGGCGCGTGCGACTCTTATGAAGACAAAGACAAGAAACTTGAAGACTCAATGCTGATAGAAGAACCACAACCAGCGCTTTTAGAAAGTTAA
Protein Sequence
MFEYSCHNASNLDKTCRGCLKVGDEVRIMTTEEQNVYLKFIEVSNEDLTMYVCLLCAHLLRKLGKFLIQCQESYNVLNNFLKESKPHNHIPPFLAFNLVTTQPVINEFQSNVALLYDFTPDMVTFDDGPIFDDEDIPLVLLKKEDNEAENGVRKKKKSRKKAVDVEGNGPSFIKSEDSAPQSKEQVKCKKKPKKELREGFSPRMVQETEEYVVIKLTKEQVLQEMHERSQSEGYKRTLFKCEKCVKGFNFEDVLQTHMEKHSMENGSLQCDICTQYCPSVVSLRGHMKSHTTRYKCKLCGCVRQSRQHLLEHHNTTHTRGAPDYTCRHCGFTTAKRTSMQRHVKSHREGERHACHQCGKLFKSLETLRVHTMRHDKSKRLQCEECGRVFIYPSLLHRHVQAVHVRKDYYCVECDVEFKSRENLRLHFKKAKRHRDASSYQYECGQCPERFVSPSTLSTHVTMAHGQLKQHSCLVCRRLYSSRDALRAHTRDKHSIDNIHCGICDKSFSRKSILAAHMRTHGACDSYEDKDKKLEDSMLIEEPQPALLES

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

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