Basic Information

Gene Symbol
-
Assembly
GCA_033459515.1
Location
CM065955.1:3185975-3206059[-]

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 16 0.0018 0.12 13.2 0.4 1 23 221 243 221 243 0.99
2 16 0.0011 0.069 13.9 0.5 1 23 250 272 250 272 0.98
3 16 0.31 20 6.2 0.3 1 16 276 291 276 292 0.87
4 16 2.1 1.3e+02 3.6 4.3 1 23 312 336 312 336 0.96
5 16 1.5e-05 0.00097 19.8 0.5 2 23 341 363 340 363 0.96
6 16 0.00038 0.025 15.3 0.4 1 23 370 393 370 393 0.96
7 16 0.041 2.6 8.9 2.2 2 23 403 424 402 424 0.90
8 16 0.083 5.3 8.0 2.3 3 23 440 460 438 460 0.95
9 16 0.00072 0.046 14.5 0.5 1 23 469 492 469 492 0.96
10 16 0.0062 0.4 11.5 2.5 1 23 497 520 497 520 0.96
11 16 2.6 1.7e+02 3.3 0.1 3 11 532 540 531 545 0.89
12 16 0.001 0.065 14.0 0.8 1 23 732 754 732 754 0.98
13 16 0.0045 0.29 12.0 0.5 1 23 761 783 761 783 0.98
14 16 0.00032 0.021 15.6 1.6 3 23 894 915 893 916 0.96
15 16 0.0024 0.15 12.8 0.3 1 23 922 945 922 945 0.96
16 16 0.0009 0.058 14.2 3.8 2 23 954 975 953 975 0.96

Sequence Information

Coding Sequence
ATGAAAGTGGTGGCGAAGTTTTTCGAAGTAAAGCAAAGTGGGGAGAAACAGCAAAGGATTGTGGTGTTGACTAAATCTAACACGTGCATTTGTTGTGGTGCCAGAAATGTCGGACTCATAAAACTGAGCAAATGTTCGCATAGACAatttttggaaatttatttcaaaaatagaATTAACGTTACAATGACAGTGGTATGCCATTACTGTCATGGTGTATTGAAGAAGATTGATGACTTCAAAAAGCAAGTTGAAAAACGTCTCACAGATCGACAAGTGGAACCGTCCACAACAGTGAAAGAAGAGTTTGATACAAACATAGATTATGATATGGGTATCGGTGCAACTTTGATAAAGGCACCAGTAATGGACAAGCCTATTGAGATTGAAATTCCACCAAAGGTAGAAATTTCAACGGCCGATTTGAGTACGCAAAATTGTCAACCATTTTTAAAGCCGTTGAAAATCGTACAAATACCAAAAACAATTCTTTTGAATACCTCACTGAATACAAATGATCTTAAAACAGAGGGGATTCCCAAAGAGCTGCCTATAGATGAGCGTCTCTACGGCAAAGTGCAGATAGTCATACAAAATGCGGCGGATGTGGAGAAAGAGAGGGAGCTAATGAGAAAAGAGGAGAGGTATATAGCGCTGCCTTTCAAATGTGAGGATTGTATCGCCGGCTTCTCCCATGAAGACGGCTTGGCTAGTCACATGAAGAAGCATGATCCGTCGCAAGGAGGGTACGTGTGTCAAGTGTGTAAGTCGGTGTACTCTTCCGAGTCGCGGCTTCAGGCACACCAGATGTACCACTGGAGGAGATACCAATGCGTGCCGTGCGGCAAAAGGTTCAAAAATCAAGGCATGTATAATTGCATCACGCATTATAATAAAGAACACGCCGCGAACGGACAAGCTATTGCTCAGATATTCGAATGTTATAAAGAAGACTGCAGTTTTAGATGTTCcGATTTCCTAGAGTACAAAAGGCACAAACGCATACACGAAAGGAAGTGGAACTGCAAAGAATGCGGGAACACGTTCGCGAGAAGGTACAGCTTAAGAAATCACGTTCAGACGGTCCACAATAAAAAGCGCCGTGTATACAAATGCAAAGACTGTGGCAAACAATACGGCACTATAACGGGCCTCACTTTACACTGGAGAGCGAAACACGACACCAGTGATGTCATCGCGCCGCTAGAGTGCCCCGTGTGCGCGCGCCGGTTCAGGAACAAGATCATGTTCGAAAAGCATTGCAGCAGGCATGATGAGAATATTGAAGGGAAACGTGACGTCATTGCGCTGCTAGCGTGCCCCGTGTGCGCGCGCCGGTTCAGGAGCAAGGTCATGTTCGACAAGCATTGCAGGAGGCACGACGAAAACATAGAAGGGAAACGGTTTATATGCGATATTTGCGGTTTAACATTCCACTACAAGGACGGCATCAGAAACCACATGGATAGCGTACACCTTAAGACTGAGTTTAAATGCAAAGAATGTAATAAGGTGTTCCTAACATACCGAGTTCTACGTAAACATGAGCGAGAAAAACATTCGCCTGGTCAGAAACCCGCGCCTAAATCACTCTGTGATTTATGCGGGAAGGAATTCAAGattaatttaactttatcacTTGTATGCCACTACTGCCATGGCATTTTGAGAAAGATTGATAGATTCAAAAAGCAAGTTGAGCAGTTTATTACAAGTCAACAGATGCTCCAAAATCCTCCAAAAGGCACTCTAACTATACAAAAACCAATACTAACAATCGTCGTACCACAAAACACACAAGAGGACAATGCATCAAACCGACCACCACCTACTGAACCAGCAATGTGTAAAGGAATAGGGAACAACATTAAAACGGAGAGAGACGTACAAAGCTTGACAGAAACGGATGAAGTTAAAGTCAAGTTTGAATATTGCAAAGAAATGGATATTGGCGAGACTGTCGTTGAAAAACCGTTAAtgCATTCAAAACCACTTGAATGTAACAACCAACCTTTACCCATAGCGTCAGAAAAACATGAAAATCCAAAATGTCTATCAAAACGAGACACAATACCAAGAGAGAGTACAAAAAAAGAGTTTAGAAGCAAAGTGCTGATAGTCACTCAGAGTAGGGAGGAGTTGGAAAGAGAGAGGGATATGGAGAGAAAGAGTGAGAAGTATTTGAAAAGGTTGTTCAGATGCGACGATTGTATAGTCAGTTTCGCACATCAGGACAATTTGGATGGTCATATGAAGAAACATGATACGactGAAGGAGATTTCATATGTGGTGTGTGCAAATCGGTTTACATAACCAAGGCGAGGTTGCAAAAACACGAGAAAACCCATTGGAGAAGGTATGAATGCGTGCCCTGCGGTATGCGATTCAAAGAGAATATCTTTATATGCGTCTCCCATTACAATCAAGTACACGGAACCGACGGGCAAGCTATAGACAAGGCTTTTGAATGCAAGAAAGGGGACTGCGGGTTCAAAACCAAGACCGGTATAGCGATAGGTTCTCCCTCTATCACGtggaaacacacaaggcgaaacatgggtgtcctggttgcacctctgcctaccccttctgggaaaaagcgtttatgtatgtactgtttcagcgacttcctgcaatacAGGAGGCATCGTCGAGGTTGTCACACCAGTAAAGCGTGTTGCGAGGAGTGCGCCAAAGTGTTCGCCAACATGGGGACCTTGCAGAAACACATGGCTACAGTCCACCACAAAATCACTCGTACGTACAAATGCCCCGACTGTCCGCGCCTGTACAAGAACTACAGCAGTCAGCTGGTCCACTGGCGGGAGGAGCACAGCAATGCTGACAGGCCGCTGTGCTTCTGCGATGTGTGCGGGCGACAGTACAAGAACAAGCAGGTGCTCAACACGCACATGAAGAAGCACGCGAGGGATGAGCTTGATGACGGGAAAAAGTGA
Protein Sequence
MKVVAKFFEVKQSGEKQQRIVVLTKSNTCICCGARNVGLIKLSKCSHRQFLEIYFKNRINVTMTVVCHYCHGVLKKIDDFKKQVEKRLTDRQVEPSTTVKEEFDTNIDYDMGIGATLIKAPVMDKPIEIEIPPKVEISTADLSTQNCQPFLKPLKIVQIPKTILLNTSLNTNDLKTEGIPKELPIDERLYGKVQIVIQNAADVEKERELMRKEERYIALPFKCEDCIAGFSHEDGLASHMKKHDPSQGGYVCQVCKSVYSSESRLQAHQMYHWRRYQCVPCGKRFKNQGMYNCITHYNKEHAANGQAIAQIFECYKEDCSFRCSDFLEYKRHKRIHERKWNCKECGNTFARRYSLRNHVQTVHNKKRRVYKCKDCGKQYGTITGLTLHWRAKHDTSDVIAPLECPVCARRFRNKIMFEKHCSRHDENIEGKRDVIALLACPVCARRFRSKVMFDKHCRRHDENIEGKRFICDICGLTFHYKDGIRNHMDSVHLKTEFKCKECNKVFLTYRVLRKHEREKHSPGQKPAPKSLCDLCGKEFKINLTLSLVCHYCHGILRKIDRFKKQVEQFITSQQMLQNPPKGTLTIQKPILTIVVPQNTQEDNASNRPPPTEPAMCKGIGNNIKTERDVQSLTETDEVKVKFEYCKEMDIGETVVEKPLMHSKPLECNNQPLPIASEKHENPKCLSKRDTIPRESTKKEFRSKVLIVTQSREELERERDMERKSEKYLKRLFRCDDCIVSFAHQDNLDGHMKKHDTTEGDFICGVCKSVYITKARLQKHEKTHWRRYECVPCGMRFKENIFICVSHYNQVHGTDGQAIDKAFECKKGDCGFKTKTGIAIGSPSITWKHTRRNMGVLVAPLPTPSGKKRLCMYCFSDFLQYRRHRRGCHTSKACCEECAKVFANMGTLQKHMATVHHKITRTYKCPDCPRLYKNYSSQLVHWREEHSNADRPLCFCDVCGRQYKNKQVLNTHMKKHARDELDDGKK

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

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