Basic Information

Gene Symbol
-
Assembly
GCA_949752835.1
Location
OX457087.1:13273231-13278182[+]

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 14 0.00023 0.023 15.9 0.2 2 23 235 256 234 256 0.94
2 14 0.0021 0.21 12.9 1.2 1 23 296 318 296 318 0.94
3 14 0.041 4.1 8.8 4.6 1 23 348 370 348 370 0.96
4 14 0.0097 0.97 10.8 1.3 1 23 420 443 420 443 0.94
5 14 2.5 2.5e+02 3.2 4.8 1 23 453 475 453 475 0.98
6 14 0.00064 0.065 14.5 2.3 2 23 517 539 516 539 0.96
7 14 0.0045 0.45 11.9 7.6 1 23 550 572 550 572 0.97
8 14 8.7 8.8e+02 1.5 1.3 2 23 630 652 629 652 0.87
9 14 6.1e-05 0.0062 17.7 0.8 2 23 678 700 677 700 0.93
10 14 0.0022 0.22 12.9 0.9 1 23 706 729 706 729 0.94
11 14 0.037 3.7 9.0 0.9 1 23 741 763 741 763 0.93
12 14 1.7e-05 0.0017 19.5 4.2 1 23 812 834 812 834 0.98
13 14 0.00013 0.014 16.7 0.6 1 23 881 903 881 903 0.98
14 14 0.00054 0.054 14.8 0.3 1 23 926 948 926 948 0.98

Sequence Information

Coding Sequence
atGAATACGTCAACAGTACAAGTACAatcaacaataataaataatccaacacaatttaaatatatttgtcgtgcttgtagaaaaattaatagagaTATGAGACCAATATTTAATTCTGAAGTTAATTCTGTACAAGTATCACAAATGCTTTCTTTTGCCGTTCCAATTAATGTGCGTCCAGATGATAAACTACCAAAATCATTATGTTCGCCATGTTTGAAAAAACTTATtgatgtatataaatttttacaaatgtgCATTGATTCAGATGTAGAAATGcgtaatattttaaaacatcaTTTCAATCCAAAATCaataattgttgaaaaaattcataatCATCAACAACATCAAAATTTAATACCTACAGCTGCAAGACCATTGCTTAAATCAGCTCTATTAAAAaatactgaatttaaaaaaaacgatgGGATACCAATACAAATTCAATCACAATTATtggataatgataataataccCATATTGATGTTATTGAATATGACGGTACCCtaattaaatTTGAAAATCAAGATTATGatgaatttgataattttgaatGTGAAGGTAATAATATATcagataataaaatttgtgattctataaaaataagaaatcgtAATGAAAATATATCACGATTAggaaataaaaatcataataatataacCTATAGTATTGATCAGAAATTAACAAATACGAATTTAAGTTgtaatttttgtgataaaatatttatacaaaaagatGACTTAGACAAACATGAAGCAATTCAtactcctattaaaaatacttcaacatatatacaaaaatcacCAGATTTTTTAGATAAAAGTATAACAATAAAGGAATCtttttctcCACCACCAAGTAGTCAAtcaataattggaaaattttcttgTGCCTTTTGTAAAAATACATTTCATACATGGGAAAATTTAGCAAAACATATTGgtgaacataaaattaaaagtatttatgGTACTGATAGTCCAGGtaaTCCACATACTTTGAGTAAAACTGATATTGAAGTATCATCATTATCTCCACATCAATGTACATATTGTTTGAAGAGATTTGTTTATCGTGATGATTTAATTTGTCATATGAGTGAACATATAAAtgaaataaacaATAGTAAAAATCGAGAAAATTCATCAGAacaaatattacaattacaaaCAATTAGAGAAATTCCAATTGATATTGAAAATGAACCACCTAGATTGTCAGATAATGATAGTGGTGAAACAGATTCATCGAAATTTTATTGTCAATTTTGTCCATCAAATTATACAGTACAATCATCATTACGAAAACATGTTTTATTGAAACATAAAAAGAATATATCACATTTAGAAAAATATCAATGCAGTTATTGttgtaaattatttgtaaaatatttagataTGATACGacataaaaaaatgcataaagaGAACAAtttatcaaaTGAACTGGATCCAATTCTTGTTGAAACACCCGAACCAGTAATTCAAAAACAATCAacaataagaaataaaacaatACCAATTaggttttttgataaatttataaaatgccaATATTGTGAATTGACGCTTTGCAGTAAAGCTGATTTACAACGACATATGACAAAAATGCATAAAGAACTTACAAgCACTGGCATAAAAAAACACGAGTGTATGTATTGtggaaaaacatttaaaaaatatttcgataTGCGTTCTCATCAAAAACATCATAAAAAACGAAATGATGCTATCTTaaaaccaCCACAACAGAATCTTGCAAAAAATGATACTAACAATTTTGAAGTCATTGATGAATTATCAGAAATTGAATCATCAGTAAATGAAGAAATAATCACAGAtccattagaaataaataaaggaaataAAAGTCTTATTCCTGTACAATGTAAAATTTGTTCATTAGTTTTACGAAATATATATTCTCACAATCGTCATAATAAAAATGTTCATGGTGGGATTAATGAAAatgAACAAGTCAaattaaaaacagaaattaaaaaTCCTGAAGTTATTGAAGGGGGgttaaattgtaaaatttgtgaaaaaaaatttaaaacaccAAATGCCCTAAATACTCATTTACTCTTAAAACATAGAGACAATACTCAATACAATTGTAGTGAATGTGTTAGATCTTATGAAACAAAATGGAGTTTAATGAGACATAACAAATTAAATCATAGTGatgttaaaaatatgaattcgaAAGGCTTATATGAGTGTAATGTTTGTGAtaagaaatttcttaaaaaacttGGATACATTAGTCATTCTCGTATCCATAAGAAACCATCAGAAGATTTAAGACGAAAATGTTtagtatgtaaaaaaatattaaaacatacTATACAATGTCGACGACATTATCGTGCTTTTCATTTGGATATAATTAAGGAAAATGAAAATGCCCAAACAGATGATGATAAACATAAATGTTCTATTTGTTCAAAAAGTTTTACACGTTCTGATTCTTATAGAGGTCATATTAAACGACATTTACAttttaatgaagaaaataatagTAGTCCTATTAAAGCAGGATCATCTAAatctgagaaaattaaagaaaaatcaataaaaaaggAAACATTGAATGATGAAAagccaaaacaaaaaattacagaaaaaaaagaatttcgttGTGTGCGTTGTCCTGCTGTATTTACCAGTAAAGGGAACTATTTAAAACATGTTAAaatgcataaaataaaaataaaaagaattaaacataaaaaggaattatttaaaaagaatatgCGTGGAAAAActtataaatgtaatatatgtgaAAAAGTTATAACGCTAATTTCAAACTATAACAGTCATATGAATGCTCatgaGagacgaaaaattaaaatcgaagatgaaaatttaaaacaaaacaattcaATTCAATTGAACAATGAAAACTAtgataataaatctaaaaatgaaGATTTGATGCCATCAGTAATAAAGAATGTAGAAgaacaaaaattgaatatagAAACTACAAAGATTATAGTAAATGATGAATTATTGACACAGACTGATGTGCCTGAACAAATAGAgcaataa
Protein Sequence
MNTSTVQVQSTIINNPTQFKYICRACRKINRDMRPIFNSEVNSVQVSQMLSFAVPINVRPDDKLPKSLCSPCLKKLIDVYKFLQMCIDSDVEMRNILKHHFNPKSIIVEKIHNHQQHQNLIPTAARPLLKSALLKNTEFKKNDGIPIQIQSQLLDNDNNTHIDVIEYDGTLIKFENQDYDEFDNFECEGNNISDNKICDSIKIRNRNENISRLGNKNHNNITYSIDQKLTNTNLSCNFCDKIFIQKDDLDKHEAIHTPIKNTSTYIQKSPDFLDKSITIKESFSPPPSSQSIIGKFSCAFCKNTFHTWENLAKHIGEHKIKSIYGTDSPGNPHTLSKTDIEVSSLSPHQCTYCLKRFVYRDDLICHMSEHINEINNSKNRENSSEQILQLQTIREIPIDIENEPPRLSDNDSGETDSSKFYCQFCPSNYTVQSSLRKHVLLKHKKNISHLEKYQCSYCCKLFVKYLDMIRHKKMHKENNLSNELDPILVETPEPVIQKQSTIRNKTIPIRFFDKFIKCQYCELTLCSKADLQRHMTKMHKELTSTGIKKHECMYCGKTFKKYFDMRSHQKHHKKRNDAILKPPQQNLAKNDTNNFEVIDELSEIESSVNEEIITDPLEINKGNKSLIPVQCKICSLVLRNIYSHNRHNKNVHGGINENEQVKLKTEIKNPEVIEGGLNCKICEKKFKTPNALNTHLLLKHRDNTQYNCSECVRSYETKWSLMRHNKLNHSDVKNMNSKGLYECNVCDKKFLKKLGYISHSRIHKKPSEDLRRKCLVCKKILKHTIQCRRHYRAFHLDIIKENENAQTDDDKHKCSICSKSFTRSDSYRGHIKRHLHFNEENNSSPIKAGSSKSEKIKEKSIKKETLNDEKPKQKITEKKEFRCVRCPAVFTSKGNYLKHVKMHKIKIKRIKHKKELFKKNMRGKTYKCNICEKVITLISNYNSHMNAHERRKIKIEDENLKQNNSIQLNNENYDNKSKNEDLMPSVIKNVEEQKLNIETTKIIVNDELLTQTDVPEQIEQ

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

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