Basic Information

Gene Symbol
-
Assembly
GCA_036346155.1
Location
JARFIY010000357.1:1781922-1783498[-]

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 13 0.3 85 6.1 0.3 1 23 90 112 90 112 0.95
2 13 0.00021 0.061 16.0 0.7 1 22 128 149 128 149 0.97
3 13 0.00082 0.23 14.2 0.6 1 23 186 208 186 208 0.98
4 13 0.00014 0.04 16.6 0.7 2 23 215 236 214 236 0.97
5 13 2.3e-05 0.0067 19.1 2.9 1 23 242 264 242 264 0.99
6 13 0.00025 0.072 15.8 1.0 1 23 270 292 270 292 0.98
7 13 8.7e-05 0.025 17.3 2.8 1 23 298 320 298 320 0.99
8 13 0.0074 2.1 11.2 2.7 1 23 326 348 326 348 0.98
9 13 0.1 29 7.6 0.7 2 23 355 376 354 376 0.88
10 13 0.0067 1.9 11.3 0.5 2 23 383 404 382 404 0.96
11 13 0.0012 0.36 13.6 4.8 1 23 410 432 410 432 0.98
12 13 0.012 3.4 10.5 1.1 2 23 439 460 438 460 0.97
13 13 4e-05 0.011 18.3 3.1 1 23 481 503 481 503 0.98

Sequence Information

Coding Sequence
ATGAATTTCGTCGCGGACAGAGGGCAACCCATCAAGGAAGAGTGTCTGAGCAATGATCCCGAAGGGACGGATAGTGTAAACCTTtacatcaaaaaagaagacCAGGAAGGAGCCTCCAACTTGGAATTAGCGACAAGCAACAAAATTGAAGTGAAAGATGAAAGTGCTGGTTGCCGCATGAAAGTTGTTGCGTTAAAAAAGCCTGTGGGTACTGCTGAACGGAACGATCGCGCCAAACCGACGAAAAGTGCCtatgaaaattttaagttcATTTGTTCAATATGCCAATTCAAAACCGAGAACGTGGAACAATACATAGAACACGTATACTCGCATGGCGCTAAAACCCAGCAACCGCCTCCATccgaaaacaaaaaagtgtttaaaTGCCCCGTCTGCAGCTTTCAAACTACCATGAAGTCTTCCCTAGAGAAGCACATGCAAACCCTCAACTGCAAAAAGCCCAACAAGTGTGTGCTTTTGATTTACAGAAACGTGCAAGTGAATGCTCCTAATTCTTCGAACAATAACATCCCCATTGTCAGCCGTCCTCCATTTGAGTGTTACATTTGTGGTTACAAAACGATGAAAAAAAACCGGCTTGCAGTGCACATGAGAATTCACAAGCCTGAGCGACTTCTCAAATGCTCCCTTTGCAACTACACGGCCACACAGCAGCGGTACCTGACAGTGCACATGCAAATTCACAGCACGGAGAAGCGTTTCAAGTGTGTCCACTGCGGCTACAGCAGCACACGGAAAGCTACTTTGCAGATGCATGTCAAGACGCATGATGTGGAAAAGCCTTTCACGTGTTCACTATGCAACTACAGCACTATAAGGAGAGGGACCATGAACGACCACATGAAGATACATCAGAATGAAAGGCCATATGAGTGCTTCCTTTGTGGTTATCGGACAAAAACTAAAGGCTGCCTGGTATCGCATATCAGAACTCATAGTGCTGAGAAGTCTTTCAAGTGCACGCTTTGTGATTATAGCACTCGGCATAAAGCTGCCTATGACTATCATCTAATAAGGCACCAGGACGAACCACACTTAAGGTGTTCTATTTGTGATTACAGACCTCTCACAGAAAGCCACCTGGAAAACCACATGACGATTCACAGCAATAAAAAGCCACTGAAATGTCCACGTTGTGATTATAGTAGTACATCAAAGATTGCCATGAAGGATCATTTTATAACTCATAAAGACGAACGTCCGTATAATTGCTTCCATTGTAATTATAAAGCTAAAGTGAAAAGCCACCTTGCAGTACATCTAAGGACACACATTAGTAAAAAGCCTCTCAAGTGTTTGTTTTGCGATTACACAGCCACAGAGGAAAGTCATGTTAAGGAACACATGAAAATTCACAGTGTAGAGAAGCCTTTCCTTCCGTTTAATAAAAGTGGGCACAATCACAGTAAAAATCGTTATGTGTGCAGGGTTTGTGGTTATAAGACTTCTTATAAACGTTATCTGACAAGACACATGAAATATCACAATGAGCGCAAGTCTACTTAG
Protein Sequence
MNFVADRGQPIKEECLSNDPEGTDSVNLYIKKEDQEGASNLELATSNKIEVKDESAGCRMKVVALKKPVGTAERNDRAKPTKSAYENFKFICSICQFKTENVEQYIEHVYSHGAKTQQPPPSENKKVFKCPVCSFQTTMKSSLEKHMQTLNCKKPNKCVLLIYRNVQVNAPNSSNNNIPIVSRPPFECYICGYKTMKKNRLAVHMRIHKPERLLKCSLCNYTATQQRYLTVHMQIHSTEKRFKCVHCGYSSTRKATLQMHVKTHDVEKPFTCSLCNYSTIRRGTMNDHMKIHQNERPYECFLCGYRTKTKGCLVSHIRTHSAEKSFKCTLCDYSTRHKAAYDYHLIRHQDEPHLRCSICDYRPLTESHLENHMTIHSNKKPLKCPRCDYSSTSKIAMKDHFITHKDERPYNCFHCNYKAKVKSHLAVHLRTHISKKPLKCLFCDYTATEESHVKEHMKIHSVEKPFLPFNKSGHNHSKNRYVCRVCGYKTSYKRYLTRHMKYHNERKST

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

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