Basic Information

Gene Symbol
-
Assembly
GCA_963924605.1
Location
OZ004602.1:9834436-9842790[+]

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 40 6.3e-05 0.0044 17.9 0.5 1 23 11 33 11 33 0.98
2 40 0.0042 0.29 12.1 0.1 1 23 39 62 39 62 0.95
3 40 6.6e-05 0.0046 17.8 4.1 1 23 67 89 67 89 0.99
4 40 0.00089 0.062 14.2 0.8 1 23 98 120 98 120 0.98
5 40 7.3e-07 5.1e-05 24.0 0.8 1 23 126 148 126 148 0.97
6 40 9.4e-08 6.5e-06 26.8 1.1 1 23 154 176 154 176 0.99
7 40 0.043 3 9.0 0.6 1 13 182 194 182 205 0.87
8 40 1e-05 0.00072 20.3 0.4 1 23 211 233 211 233 0.97
9 40 1.1e-06 7.5e-05 23.4 1.7 1 23 239 261 239 261 0.99
10 40 0.047 3.3 8.8 0.4 1 13 267 279 267 281 0.91
11 40 0.32 22 6.2 5.8 1 23 306 329 306 329 0.96
12 40 0.00019 0.014 16.3 1.4 3 23 336 357 335 357 0.96
13 40 0.011 0.75 10.8 1.5 1 23 365 387 365 387 0.95
14 40 0.012 0.84 10.7 0.7 1 23 393 416 393 416 0.90
15 40 0.095 6.7 7.9 8.4 1 23 421 443 421 443 0.98
16 40 6.9e-05 0.0048 17.7 1.7 1 23 452 474 452 474 0.98
17 40 1.9e-06 0.00013 22.7 0.8 1 23 480 502 480 502 0.97
18 40 1.9e-08 1.4e-06 28.9 1.1 1 23 508 530 508 530 0.99
19 40 3.4e-06 0.00024 21.9 1.3 1 23 536 558 536 558 0.98
20 40 0.066 4.6 8.4 0.7 1 13 564 576 564 577 0.93
21 40 0.0046 0.32 12.0 3.7 1 23 599 622 599 622 0.93
22 40 0.0053 0.37 11.8 2.4 1 23 627 650 627 650 0.96
23 40 9.4e-05 0.0066 17.3 1.4 1 23 658 680 658 680 0.97
24 40 0.016 1.2 10.3 2.1 1 23 686 709 686 709 0.95
25 40 0.0024 0.17 12.9 1.9 1 23 714 737 714 737 0.97
26 40 0.00036 0.025 15.5 3.7 1 23 746 768 746 768 0.99
27 40 6e-05 0.0042 17.9 0.1 1 23 774 796 774 796 0.97
28 40 6.5e-07 4.5e-05 24.1 1.8 1 23 802 824 802 824 0.98
29 40 1.1e-07 7.8e-06 26.5 0.8 1 23 830 852 830 852 0.98
30 40 4.5 3.1e+02 2.6 0.2 1 9 858 866 858 870 0.89
31 40 0.0003 0.021 15.7 5.7 1 23 888 911 888 911 0.97
32 40 0.0026 0.18 12.8 0.4 3 23 918 939 917 939 0.95
33 40 0.031 2.2 9.4 0.4 1 23 947 969 947 969 0.97
34 40 0.81 56 4.9 0.7 1 23 975 998 975 998 0.80
35 40 0.0053 0.37 11.8 1.5 1 23 1003 1025 1003 1025 0.98
36 40 0.00042 0.029 15.3 5.0 1 23 1034 1056 1034 1056 0.98
37 40 3.5e-05 0.0025 18.7 0.6 1 23 1062 1084 1062 1084 0.96
38 40 8.6e-06 0.0006 20.6 1.0 1 23 1090 1112 1090 1112 0.98
39 40 0.00062 0.043 14.7 6.6 1 23 1118 1140 1118 1140 0.98
40 40 1.2e-05 0.00086 20.1 1.0 1 23 1146 1168 1146 1168 0.98

Sequence Information

Coding Sequence
ATGAGAATGCACAGTATTCGTCCACGTCCTTTTTCCTGCGAAATTTGCGAAAAGAACTTTGCAACTGACGATTATTTGAAAATACACCGATTAACGCATACTCgagattataaatttaagtgCGATCAATGTGACAACGGTTATCGCAATCTACCAGCCTTAAAAACACATATTGCAAACGCACACGTAGGAGTTCGATTCCAATGTGAAACTTGCGATAAATCGTATGCTAGTACCCATTCCCTTAAAATGCACAAACGCACACACGATCctatttatgttaaaaaggcGTACCCTTGTGAAATATGCAATAAGATATTATACAATAGGAAATCAGTGAAACAACATTTGAGAAATCACGAAGGACTTGATAGTCACGTTTGTGACATTTGTGGAAAGAGTCTTACTAGTAAAAGTAGTTTGCAGATACATATTAAAATGCACAATAATGAAAAAAGCTATGTTTGCGAGACGTGCGGTAAAGCTTTTGTGAGACGGAACCATTTAATTAACCATATACGCACACATACGAAAGAAAAACCTCATAAATGTACGCTTTGTGACAAAGCCTTCACTCAAAGGACTCCATCAATCAAAGAACATTTGAAAAATCACGAAGGACTTGATAGTCACGTTTGTGACATTTGTGGAAAGAGTCTTGCAAGTAAACGTAGTTTGGAGACACATATTAAAATACACAATAACGATAAACAATATGTTTGTGAAACATGCAGTAAAGCGTTTGTGAGAAGGAACCATTTAATTAATCATATACGCACGCATACGAAAGAAAAACCTCATAAGTGCACGCTTTGTGACAAAGCCTTCACTCAAAGGACCCCAATCAAAATTGAATATCTTGAAGTGGATAATGAGATTAATGACATTGAGGTTTCATTGGAAAACGTGAAAAAACATGAATGTAAAAAGTGTAATCTCTTTTTTCACGAATACAGAGAACTAATAAATCATCGGAATCGCTCGCATAGAGTCCGAAAACGTCCTTGTGATAAGTGTGACAAaagattttataataatactCTTCTTAACGATCATAAAAAGAGAATTCACAGTGGAGATCGTCCACGTTCATTTTTATGTGAAGTTTGTAACAAGGGCTTTACATGTGAAGGAAGTCTAAAAGTACACCGTTTAACCCATACTAACAATTATAGATACAAGTGCGATCAGTGTGATAAAGGTTTCTTCCAAAAAAAAGTCTTGGACGACCACAGTGCAAGAGTACACGCAGGGCTACGATTCGAATGTGAAACTTGTCATAAATTGTATTGTACACAAGAGTACCTTCAATTACACAAACATACACACGACCCAGCTTATGTTAGGAAGGAGTACACTTGTGAAATATGCAATAAGATATTGTACAATAGGAAATCACTGAAGCAACATTTGAGAAATCACGAAGGAATTAATAGTCACGTTTGTGACATTTGTGGAAAGAGCCTTACTAGTAAAGGTAGTTTGCAGACACATATTAAAATGCACAACAACGAAAAAAGCTACGTTTGTGAGACTTGCGGTAAAGCTTTTGTGAGGAGGAGCCATTTAATTAATCATATACGTACACATACGAAAGAAAAACCTCATAAGTGCACGGTTTGTGACAAAGCCTTCACTCAAAGGACTCCGTTAGTTGTTCACATGAGGAGTCACACGGGCGAAAAACCTTATAAATGTGAAATTTGTGAAAGATCATTTGTTACTAAGAGAATaatcAAAATTGAGGGTTTTGGAATGGTATTTATCAATGAGCTGTTACAACAAGGGAACATTTATGAATGTAAAGAGTGTAATGTCTCGTTTAAGGAATATAAAGAACTCAGAAATCATCGGTATCACAATCATAGACTTCGACAACATCCTTGTGATTTGTGTgacaaaactttttattataggtaTGAAGCTAGAGATCATAAAAAGAGAATTCATAGTGAAAATCGGCCACGTCCATTTTTTTGTGAAGTTTGTAACAAGAGCTATACATCCGACACAACTTTGAAAGTACACCAGTTAACGCATACCCGTGATTATAGATACAAGTGCGATCAATGTGATAAAGGTTATCGCTTAAAGAAATGCTACGAAGAACATTATGCAATAGTGCATGCTGGTCTACGATTCGAATGTGAAACTTGCCATAAATTGTATGCTAACCTTGAGTACCTTCAAGAACACAAACGCCGCGAACACGACCCAAGTTACGTTAAAAAGGAGTACACTTGTGAGATATGCAATAAGATATGTTACAGTCGCGGAGGTTTTAGAAGACATTTGAAAAAACACGATGGAATTGATAGCCACATTTGTGACATTTGTGGAAAGGGTGTTGCAACTGCAGATAGTTTGAGGATGCAtattaaaattcataataacGACAAACAACATGTTTGTGATACTTGTGGAAAAGCTTTTGTAAGAAAACCTCATTTAGTTAATCACATACGAACGCATACTaaagaaaaaccttttaaatgcACGATTTGTAATAAGGCTTTCAGTCAAAGGAGTTGGTTGGTTATTCATATGAGAAACCACGCTGAAGAGAAAGCTTATAAGTGTGAAGTTTGTGAAAAATCaatcGAAAATGAGTGTGTTGATGAACTGGCACTTAACAACGCACTGTTAGAACAAGGGAATATTTACAAATGTAAAGAGTGTAATGTTTCTTTTAGCAAACACAAAGAACTGAAAAATCATCAGAACCACGCACATAGAGGCTTAGAAAATGCTTGTGATTTGTGtggcaaaattttttataatatgagCTCTGTTAACCGACATAAAGCACGCAGTCACAAAGAAATTCGGCCTCGTCCTTTTTCATGTGATGTTTGTAACAAGAGATTTTTGGCGGATAGATATTTGCAAGTGCATATTTTAACGCATACCCGCGATTATAAACATAAGTGCGATCAGTGTGGCAAGGGCTACCTCACTAAACAAGCCGTAGATGAACATTATGCAAAAGTACACGCAGGACTACGATTCGAATGTGCAACTTGTCATAAATTGTATGCTAACCTTGATTACCTTCAAGAACACAAACGAGAACACGATCCAACGTACGTTAAAGAAAAGTTCAGTTGTAAAACGTGCAATAAAGTATGTTACAGTGCAAGTGGTTTTAGAAGGCATTTGAAACGACATAAAGGAATTGAAAACCACATTTGTGACATTTGTGGAAAGAGTGTTAACACTGCAACTAGTTTGAGAGAGCATattaaatatcatactaacgaTAGACAACACGTTTGTGATACGTGCGGTAAAGCTTTTGTGAGATATCGAGATTTAGCTGTTCATAAACGCACACATACTAAAGAAAAACCTTACAAGTGTACGATTTGTAATAAATGCTTTAGTCAGAAGAGTTGGTGTGACATTCATATGAGAAACCACACTGACGAAAAACCTTATAAATGTCGTATTTGCCAAAAATCATTTATCATTAACAGTTTGTTAAAATCTCACATGGCAAGGCATTAG
Protein Sequence
MRMHSIRPRPFSCEICEKNFATDDYLKIHRLTHTRDYKFKCDQCDNGYRNLPALKTHIANAHVGVRFQCETCDKSYASTHSLKMHKRTHDPIYVKKAYPCEICNKILYNRKSVKQHLRNHEGLDSHVCDICGKSLTSKSSLQIHIKMHNNEKSYVCETCGKAFVRRNHLINHIRTHTKEKPHKCTLCDKAFTQRTPSIKEHLKNHEGLDSHVCDICGKSLASKRSLETHIKIHNNDKQYVCETCSKAFVRRNHLINHIRTHTKEKPHKCTLCDKAFTQRTPIKIEYLEVDNEINDIEVSLENVKKHECKKCNLFFHEYRELINHRNRSHRVRKRPCDKCDKRFYNNTLLNDHKKRIHSGDRPRSFLCEVCNKGFTCEGSLKVHRLTHTNNYRYKCDQCDKGFFQKKVLDDHSARVHAGLRFECETCHKLYCTQEYLQLHKHTHDPAYVRKEYTCEICNKILYNRKSLKQHLRNHEGINSHVCDICGKSLTSKGSLQTHIKMHNNEKSYVCETCGKAFVRRSHLINHIRTHTKEKPHKCTVCDKAFTQRTPLVVHMRSHTGEKPYKCEICERSFVTKRIIKIEGFGMVFINELLQQGNIYECKECNVSFKEYKELRNHRYHNHRLRQHPCDLCDKTFYYRYEARDHKKRIHSENRPRPFFCEVCNKSYTSDTTLKVHQLTHTRDYRYKCDQCDKGYRLKKCYEEHYAIVHAGLRFECETCHKLYANLEYLQEHKRREHDPSYVKKEYTCEICNKICYSRGGFRRHLKKHDGIDSHICDICGKGVATADSLRMHIKIHNNDKQHVCDTCGKAFVRKPHLVNHIRTHTKEKPFKCTICNKAFSQRSWLVIHMRNHAEEKAYKCEVCEKSIENECVDELALNNALLEQGNIYKCKECNVSFSKHKELKNHQNHAHRGLENACDLCGKIFYNMSSVNRHKARSHKEIRPRPFSCDVCNKRFLADRYLQVHILTHTRDYKHKCDQCGKGYLTKQAVDEHYAKVHAGLRFECATCHKLYANLDYLQEHKREHDPTYVKEKFSCKTCNKVCYSASGFRRHLKRHKGIENHICDICGKSVNTATSLREHIKYHTNDRQHVCDTCGKAFVRYRDLAVHKRTHTKEKPYKCTICNKCFSQKSWCDIHMRNHTDEKPYKCRICQKSFIINSLLKSHMARH

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

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