Basic Information

Gene Symbol
-
Assembly
GCA_963082725.1
Location
OY720151.1:3762074-3764282[-]

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 11 2e-05 0.0011 19.5 2.1 1 23 195 218 195 218 0.98
2 11 2.5e-05 0.0014 19.3 2.7 3 23 226 246 224 246 0.95
3 11 0.0004 0.022 15.5 1.6 1 23 252 274 252 274 0.95
4 11 0.00018 0.0099 16.6 1.7 1 23 284 306 284 306 0.95
5 11 0.00085 0.047 14.4 1.1 3 23 314 334 312 334 0.98
6 11 0.0061 0.34 11.7 3.1 1 23 340 362 340 362 0.97
7 11 0.0004 0.022 15.5 2.5 1 23 368 390 368 390 0.97
8 11 4.6e-07 2.5e-05 24.7 0.5 2 23 396 417 395 417 0.97
9 11 3.3e-05 0.0019 18.9 2.6 1 23 423 445 423 445 0.98
10 11 0.00018 0.0098 16.6 3.7 1 23 450 472 450 472 0.97
11 11 2e-06 0.00011 22.7 1.8 1 23 478 500 478 500 0.99

Sequence Information

Coding Sequence
atgtgtgATAAAAGTAATATTTGTCGTTCATGTTTATCCGAAAATATAGAAATGCGAAGTTTATTTACTCCATTTGATGAAATCGATAACCTTACTTATTCTGATGGATTTCATTTGtgtacaaatattataattgatGAAAATGATACTTTGCCACAAACTATTTGTTTACCTTgtataaagattttaaaagTTTCGTACTATTTTCGTAAACAATCAGAAAATTCTGATTTAACATTAagattgaaattaaaaaaagaagaacttTTTGATGAAGGATCAGgTAACATGTTTGCTGgatttgatgaaaaatatgaGATTTCCCAAATTGAAGAAAAAGTTCCTGTAGAAATTTCCGTTCCTGAAATAAAGaAAGAAACGACGAAACGAAGcaaaaaaccgaaaaaacgtaaaaaaagttttaaatcacgaaataatgatgatgaagatgacaTCAGAACTGATGATAAACAGGAATCAGATGATGACGAAGTACCATTATCTGAATTTTGTAATGTTGataatgaaatcaaaaaattagatgacaagaaaaaagaaatgaaaattgatgCAAAAGGAAGTTTTCAATGCCCACAATGTAATAAAGCTTATAaatttactcACACCTTAGAAAAACATATTGAAACAGTTCACTATGGAAAAACATTACATTTATGCAATATTTGTGGTAAATCATGTGCGCAAGAATCATCCCTCAAATCTCATTTATTAATGCATCAAGGTAGAAGACCTTACAAATGTGATCGATGTGACAAATcatattttactaaaaatgGATTACAAAGTCACGGTTATGTTCACATGCCTGATAAAAAACCAGTTGCAAAatttttatgtTCAACGTGCGGAAAAGGATTTACAACAAATCAGAGACTAAGAATTCATACTTATACTCATACAGGGGAACGAAGTTTTGGATGCGATTTATGCactAAAACATTTGCAACGGAATTTCGTCTCCGGTCTCATACCAGAATTCATACTGgTGAAAGACCGTATCAATGCCATGAGTGTGGTTTACGTTTTGCTCAAGGTAACGCACTGAAATGTCACAAAAGGATCCACACAGGTGAAAAACCTTATCAATGCAATGTgtgttttaagaaattttcacaaaacaCAATTCTGAAAACACATATGACTCTTCATACAGGAAAAACTGTCAAATGCCCTGATTGTGATAAGAAGTTTAGTCGTGCGTCATATTTAATTCTCCATAAAAGGGAACATACTGgTGAAAAACCTTACGCTTGCGATAAATGTCCAAATAGATATAAACAAAAGAGCCATTTAGATCGACACATGGATACACATAATGGTGTAAAACACAAATGTACAATTTGTAGCAAAGAATATTCAAAACAATGGTCTTTAAAAATGCATATGTTTTCGCACTCCAATGATAAACCATTTAAATGCCCTGAATGTCCTACAtcatttataagaaaagataaatataaaactcaTTTAAAAAGTCACGAACGTTTAGTGGAAGAtgataaacaattaattattcatattGAAGATCCAGATCAGTTTCAAGTCGATACAAATGTTGTTGAAATAATAGAGACTAGACTGGTTGAAACAGTTGTTGACGTCGCTTAA
Protein Sequence
MCDKSNICRSCLSENIEMRSLFTPFDEIDNLTYSDGFHLCTNIIIDENDTLPQTICLPCIKILKVSYYFRKQSENSDLTLRLKLKKEELFDEGSGNMFAGFDEKYEISQIEEKVPVEISVPEIKKETTKRSKKPKKRKKSFKSRNNDDEDDIRTDDKQESDDDEVPLSEFCNVDNEIKKLDDKKKEMKIDAKGSFQCPQCNKAYKFTHTLEKHIETVHYGKTLHLCNICGKSCAQESSLKSHLLMHQGRRPYKCDRCDKSYFTKNGLQSHGYVHMPDKKPVAKFLCSTCGKGFTTNQRLRIHTYTHTGERSFGCDLCTKTFATEFRLRSHTRIHTGERPYQCHECGLRFAQGNALKCHKRIHTGEKPYQCNVCFKKFSQNTILKTHMTLHTGKTVKCPDCDKKFSRASYLILHKREHTGEKPYACDKCPNRYKQKSHLDRHMDTHNGVKHKCTICSKEYSKQWSLKMHMFSHSNDKPFKCPECPTSFIRKDKYKTHLKSHERLVEDDKQLIIHIEDPDQFQVDTNVVEIIETRLVETVVDVA

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

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