Basic Information

Gene Symbol
-
Assembly
GCA_905115235.1
Location
NC:31357558-31362778[+]

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 1.8 97 3.3 2.9 2 23 259 281 258 281 0.93
2 10 1.5 84 3.5 0.1 6 23 290 307 290 307 0.97
3 10 5e-05 0.0027 17.7 2.8 1 23 313 335 313 335 0.98
4 10 1.4e-06 7.8e-05 22.5 1.2 1 23 343 365 343 365 0.97
5 10 2.5e-05 0.0014 18.6 0.7 1 23 373 396 373 396 0.97
6 10 8.5e-06 0.00046 20.1 0.1 1 23 402 424 402 424 0.98
7 10 0.0012 0.063 13.4 1.1 2 23 432 453 431 453 0.96
8 10 0.0006 0.033 14.3 0.5 1 23 458 481 458 481 0.97
9 10 5.1e-07 2.8e-05 23.9 0.4 1 23 486 508 486 508 0.98
10 10 6.3e-05 0.0034 17.4 0.8 1 23 514 537 514 537 0.97

Sequence Information

Coding Sequence
ATGGACTCTCATATTACAAAGAATTCACATATCTCGCAAAAGTTAgaatatttccaccaaacaaaCAGTAAAAAATGTCGTTTATGTTTAGCATCACTTGACACATTAATTGAGATATTCAGCGAGGGAGCTGTGCAtatgaaaattaatgaaaagctTAAGGAATTTTGCCATCTTGCAATTACAGAAGAGGACCCCGCCCCAAAGACAATATGCTTCACTTGCTTGAATGAGGTTAATCGGTTCAGTGATTTCTACAAAAGAATTCAAGAGAATCAGAAATTACTCACACTTTCCTTTCAACCCTCGATTATTCACGAAGCAGCCAAATTTGCAGGTTTAGCTCAGGACATGAATGAAAACGATGAAAGCGAAGAGCCACTAATAATAGCCATTGCTGAAGAAATATGCCAGGCAGATGATATTCAAGAGAATGTAGAAATCCTCTATGAAAGTGCGGAGGCTAATGGTGCCGATCATGATGACCCTGAACTAGTACAATGCGAAATTGTGTTAcaaaaattatcggaggaacCGAAATCTGAGTCCTTTCCCCTAACCGACAGGAATGAAGCGACCTCCACAAATGATTCAGACGTCGAACATCATGAATTGGATACAACTTTCTACGCAGAAGATCAACATGATTTATCGGAATCAGATCATGACGACCGTGCCCTCTCTCCACCAACCGCTTTTAGCGAAGAAAGTACAAAAAGCCGTGCCAAACATAGAATTGCCTTGGATAAGCCAATTCGTGATTTCTTCGACTTGCACTGTGAAAAGTGCAATTCGAACTTCCAAACGTTCCAAGGAATTCGGAATCATATGCTGCAAAAACACGACGAACAATTTTACTTCGTCTGTTGTAATCGGAAGCTGTATCGAAGGGATGCTGTTATGGCACATATCAGTTCGCATTTAAATCCGCAGAAATTCACATGTGAGGTCTGCAATCAAGTGTGCAAAAGCAAAATCACCCTGAAAGTGCATATGAAGCAACACATTCCAAAAGATCAACAGCCTTTTGCTTGCGAAAAGTGCGGATTTCGGTTTGCTTTAAAATCACAACTAAAGAGTCACATGAACACTCATCTTACAAACGAAGAAAAAAGATTCGTCTGCAACGAATGCGGCAAGCCATTTGCCTTCAAATTTGTCCTAGAAAAGCATAAAAAGCGAATACACATCAAACAAAAGAACTACATGTGTGAGATCTGCGCTCGATCGTTTGTAGACGAAGTCAACCTAACGGCGCACAAACGAATCCATGATACAACTACGCCACGTCTGGAATGTCCGAAATGTCATGCTCTCTTGAAGACAaagaaaaccttgaaaattcaCATGCTTGTGCATAATCCATCCCAATTTTCGTGCGAGTCCTGCGCTAAGGATTTTCCaacaaaaaatggtttattGAACCACATACGATATTACCACACGGATAGGAAGTATCCTTGTGAAACATGTGGCAGGGTTTTTAAGAAATCATTGAATTTGAAGGAACACATGGCAACGCACACCGGCGAGATTTTGTACAACTGCGAATACTGTGATAAAACATTCAATGCTAAAGCCAACCGATATGCTCATATCAAGAAAGTTCACCCCAACGAATGGGCAAACAAGCGGAAATTAAGGTGGCGAATAGAAGATGAAAAGTATTCAGAATAA
Protein Sequence
MDSHITKNSHISQKLEYFHQTNSKKCRLCLASLDTLIEIFSEGAVHMKINEKLKEFCHLAITEEDPAPKTICFTCLNEVNRFSDFYKRIQENQKLLTLSFQPSIIHEAAKFAGLAQDMNENDESEEPLIIAIAEEICQADDIQENVEILYESAEANGADHDDPELVQCEIVLQKLSEEPKSESFPLTDRNEATSTNDSDVEHHELDTTFYAEDQHDLSESDHDDRALSPPTAFSEESTKSRAKHRIALDKPIRDFFDLHCEKCNSNFQTFQGIRNHMLQKHDEQFYFVCCNRKLYRRDAVMAHISSHLNPQKFTCEVCNQVCKSKITLKVHMKQHIPKDQQPFACEKCGFRFALKSQLKSHMNTHLTNEEKRFVCNECGKPFAFKFVLEKHKKRIHIKQKNYMCEICARSFVDEVNLTAHKRIHDTTTPRLECPKCHALLKTKKTLKIHMLVHNPSQFSCESCAKDFPTKNGLLNHIRYYHTDRKYPCETCGRVFKKSLNLKEHMATHTGEILYNCEYCDKTFNAKANRYAHIKKVHPNEWANKRKLRWRIEDEKYSE

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

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