Basic Information

Gene Symbol
-
Assembly
GCA_032191425.1
Location
CM063471.1:5318067-5328673[-]

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 0.46 55 5.9 2.3 1 23 232 255 232 255 0.94
2 10 0.15 18 7.4 0.0 2 23 282 304 281 304 0.91
3 10 0.74 89 5.2 5.2 1 23 330 352 330 352 0.98
4 10 0.0002 0.024 16.5 0.3 1 23 356 378 356 378 0.98
5 10 3.1e-06 0.00037 22.1 1.5 2 23 385 407 384 407 0.96
6 10 0.03 3.5 9.6 0.2 1 23 412 435 412 435 0.90
7 10 0.00024 0.028 16.2 1.3 2 23 443 465 442 465 0.96
8 10 0.025 3 9.8 4.1 1 23 474 496 474 496 0.95
9 10 1.3e-05 0.0016 20.2 3.1 1 23 502 524 502 524 0.98
10 10 0.00075 0.09 14.6 1.8 2 23 531 552 530 553 0.93

Sequence Information

Coding Sequence
ATGGGAGAAGGAGAGATCTATGGTCACATGCTAAAtgaatgttttaatataaaatGGCCTCAGGCAGAGCATATGAAGTATCAAATATGTGAAATGTGCATATCACAATTGCGAAATGCATTACAATTCAAACAACGTATATTACAAAGTCTTATAAGGCTCGAAGCAAAATGTACTGataTAAACAAGAAATCAGATATTGTATATGAAAATAGTCTTCCAATAATGACAGTAGACGATGGACTTATTAAAACTGACATTTTTAATGAAACGGATAAAATAGACAATGctATAAATAATGATACAGTTAACACATATAATGAGGGTAGTGTTCAATTAAATGtatcagatgatgatgaatatatgaaAGTTGAGCATAATGATAATTGTGATGATACAGAGACCGTTGAAGATGatataaataatgatacacttaatatgtataatgagAGTAATGATCAATTAAATGCATCAGATTATGAATGTATGAAAGTTGAGAATGATGACAATTGTGATGTTACGGAGACCGTTGAAGACGCTAAAAGACTAATAATAATCCCGAAAGAACCAAAAGAACCAAAAAAGAGTCGAAGTATAGTAATATGCAAAAGGAATTATGTGAAACCACGACAGAACGCTTGTCTCATTCTAGAAAATTCCACAATAGTACCTTTTAAATCTTTCAAAGGATATTTCACTTGCCTTTACTGCAACAAACAGCATGCCACATTCGAAGAATTAAAATCTCATGTACTCCAATCGCACGAAAAACCAACGTTTAAAACAATATCAAAAAGTATAAATCGACCGAACGACCGCATAAAGGCCGATGTCAGTGACATCGTTTGTAGGatctgtgaaaaaaaaattaataacctAGAAACGCTTGTGTCACATTTGGCGGGAGAACATAATCTCAAATTTAATTTCGACGACGCCCTTAAACCAGTCGATGCAATATTGGGATACGATTTGAGCGATGGAAAATTTAAATGTTGTGTttgtaatagtgaatttttattttttaaaactctTACGAATCATATGAATACCCATAGTAATGATTATGTATGTGATGTGTGCGGAAAATGCTTTTTATTACCCGACCGTTTACGCGCCCATATTCAAATGCATATAGATGACAAAACCGTGAAATGTGAAATCTGTGACAAGGTATGTGCTAATAACTCTTCATTAAAAAGTCATATTAGATATAGACATAAAAAAATGGCGTACATGTGTTCTATATGCAATGAAAATTTCCCTActtatattttaagaatgaagcATTTAGAAGATGTTCATAAAAAGGCGCCATTGAATTTAAACTGTAGgatttgttttaaaaaatataatttgcctAAAAGTTTGAATAATCATATGAGAACTGAACATTTGAGGTTAGGTAGAGAGGCTAAACACAGTTGTGATATTTGCGgtatgaaatttaaatttagtaaTACATTGAAGTGTCATTTGATTGTGCATTCCGATGAGAAGAAGTTTCAATGTGAAGTTTGTCACAAGAGGTATGCACGCTCGAAAACTTTGAAGGAACATTTGAAGATTCATCGCAATGATAAACGGTGGTCGTGCGGCGCGTGCGAACAAGCGTTCGTTCAGAAATGCAGTTTGAAAAATCACATAAGAGTTCATCATGACAATATGGATTTTAAAGAATTGATTGTGTATAAAAAACCTGATGCTGAATAA
Protein Sequence
MGEGEIYGHMLNECFNIKWPQAEHMKYQICEMCISQLRNALQFKQRILQSLIRLEAKCTDINKKSDIVYENSLPIMTVDDGLIKTDIFNETDKIDNAINNDTVNTYNEGSVQLNVSDDDEYMKVEHNDNCDDTETVEDDINNDTLNMYNESNDQLNASDYECMKVENDDNCDVTETVEDAKRLIIIPKEPKEPKKSRSIVICKRNYVKPRQNACLILENSTIVPFKSFKGYFTCLYCNKQHATFEELKSHVLQSHEKPTFKTISKSINRPNDRIKADVSDIVCRICEKKINNLETLVSHLAGEHNLKFNFDDALKPVDAILGYDLSDGKFKCCVCNSEFLFFKTLTNHMNTHSNDYVCDVCGKCFLLPDRLRAHIQMHIDDKTVKCEICDKVCANNSSLKSHIRYRHKKMAYMCSICNENFPTYILRMKHLEDVHKKAPLNLNCRICFKKYNLPKSLNNHMRTEHLRLGREAKHSCDICGMKFKFSNTLKCHLIVHSDEKKFQCEVCHKRYARSKTLKEHLKIHRNDKRWSCGACEQAFVQKCSLKNHIRVHHDNMDFKELIVYKKPDAE

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

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