Basic Information

Gene Symbol
Znf219
Assembly
GCA_033675135.1
Location
CM066256.1:12140038-12148898[-]

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 13 0.16 9.6 5.9 0.5 3 23 276 298 274 298 0.90
2 13 0.073 4.5 6.9 0.0 6 23 412 429 410 429 0.97
3 13 5.8 3.6e+02 0.9 0.1 2 23 451 475 450 475 0.79
4 13 0.01 0.62 9.6 0.0 1 23 486 510 486 510 0.91
5 13 0.19 12 5.6 0.8 2 23 532 554 532 554 0.93
6 13 0.046 2.8 7.6 0.7 1 23 559 582 559 582 0.94
7 13 0.00039 0.024 14.1 1.0 1 23 647 668 647 668 0.98
8 13 0.0013 0.08 12.4 4.3 1 23 674 697 674 697 0.90
9 13 0.0024 0.15 11.6 3.6 3 23 781 802 779 802 0.92
10 13 0.077 4.7 6.8 0.0 3 23 809 831 807 831 0.91
11 13 0.046 2.8 7.6 4.4 1 23 838 860 838 860 0.96
12 13 0.00015 0.0094 15.3 4.5 1 23 866 888 866 888 0.98
13 13 0.00034 0.021 14.2 4.1 1 21 894 914 894 919 0.93

Sequence Information

Coding Sequence
ATGGccccagcgccaccgccgccagccgccgcgggcggccaggacgaTGACGACGACAGCCACTTCTGCCTGCGCTGCCGGCAGACCGTCGAGGGCCTCGAGCAGTACGTGGCGCACCGGCGGGCAGGCTGCAAGGccggaggagggagcgggccCGAAGGTACGCTGCCCGACGCGCCGGTCACGCTGCagaccacccccacccccacccccgcccccgcggccgaggacgaggacggcctCAAGGCGGCCGACTTCTTCTCGCAGCTCGAGCTGCGCAGCAGCAACAAGGaggacggcgcTGCCAGGCGGGGCGTCAGGAGGGTGGCGACGCCCACCGCAGAGGAggccgacgaggacgacaACGACTCGTGGCAGTACCCACCCAAGACACACACGGGGGGCAAGTGGAGGCCGCGGTCGCCCGCGGAGAACAACGccttcaccgcgccgccgccaagcgCGGGCGGCAagtgggggccgccgccctcgcactCGGGCGGCAAGTGgaggccctcgccctcgccctccccggcggacggggcggacaaGGACGACCGGCGCGAAGAGTACCCCGCACAGGACGAGCATGAGGACGCGAgcgaacagggcggggcggccaagggCCCcgcggacgaggaggacgaggaagaggaggacaaggaggagAGGCAGGTCGCGGTCGACTGgcacccgccgcccacgcACACGAGGGGCAAGTGGGCGCCCGGCATGGCCGGCaaggtccgcgccgccctgctgcagcaggccgcgcccgcgccgcccgcgcccgccaggaagtacggcagcgcggtgcagtaCTGGTGCGGCTCGTGCAACCGCAggctggccagcagcaggatgTACGAGAGGCATCTCAAGTCAGACCTGCACTTCCGGCGCACCCTCCCCGAGCGCCAGCTGGACACAGGGCCGCtacagcccctgccccggccgcggccgcggcgccccgacacACACAGGGACAAGGGACTAGGGGGGCGCGGCCTCCGGGTGGAGCGGTGCGCCGTGTGCAGGGCGAGGGTGCACCGCCACCAGATCGGCAAGCACCTCGTGTCGCACTTCCACTGGCGCAGCACCAGGACTACAGCGGTGGGCTCAGTGGCCGCCGACCTCGTCCTCGACAACATCGAGGCCGTGGTGCGGCAGTCGCCCTTCCAGACAGTAAGATGTCTGCTGTTCCTGGCCAGTATTGGTGTTCCCCGTGCGAGCTGTGACGCCGCGTTCCGTTACAACGCCCAGCTCGGGCGGCACGAGCGGCTGCATGGCCACCAGGTCCCCCAGGACCAGGGCGGCTCGACGGCGGGCGACCGCTACCAGGCGCGCTTCCGGTGCGCGGTcagggcgtgcggcgcgctgcggcgctcgcggcccgcgctgcagaAGCACGTCCTGGTGGCGCACCGCGGCACCGGCAGCCCCACCGCGGGCTGCTTCTACTGCGGCGTCTGCAACAAAGAGTTCccgtcggccggcgcggcggcggagcaccGCCAGACCCGGGGGCACCGGGACGCGGTCCGGGACCGCAGGGAGCGGCGCCTGCATGGCCTGCAGGGATGGGGccagcggcgctgcccgcactgccgccgcccctgccagggggtggccgggctgcgcgcccacCTGCAGGCCGAGCACCCCGACCGCCAGCACCGGTGCGCGCTCTGCGGCCTCGGCTTCACGCTGTCGCAGGAGGTGTCCAAGCACTTCCGCGAcgtgcaccgcggcggcccgggcccgacccccgGCACCGGCATTGGCACCCCACTCGTGCCCCCGCAGGACGAGGCGCCGCCCTTCACCTGCGCACCGTGCGGCTTCTCCACCGACTCCAGGGCGGAGATGGTCTTCCACCGGGTGCTGCACGGGGCtccgtgcgcgcgggccgaggacggcacggccacggcgcccctGTACCGGtgcccgctctgctccaaGCCGTGTCGCAAgcaggccctgcgcgcgcacctcAACGTGCACACTGGCGAGCGGCCCTTCCGCTGCGGCCACTGCGACAAGAGCTTCAGTCGCAAGGACTCCTGCCTCTCCCACGAGCTGAGCGCGCACGCCCCCAAGGCCGACGTCCCCGagaccgccggcccgcccggggacgCCCACGACGAGCAGGAGCGCCGTCTCCAGGACGCCATATCGTCCATCGTGGacgcagggccgccgcccccctcggcGCCGGTAGACACCTTTGGCGCCGAGTTCCCGCCGCTCGTCGACGACGCCGTTGTCGGGGTCGACTGGGGCGctagcgccgccggccccgccaaggAGTCGGACGAGTCTCGCGAGCGGGCGCACCTCTGTGACGTGTGCGGAAAGTGCTTCCTCACCAAgaccaCGTTGCGCCAGCACCAGGTGTCCGTGCATGGCGTCAAGCCCCTGGCGTGCTCGTGGCCCGGCTGCGTCATCCGCCTGCGGTCGCCCGCCGAGCTCCGCGCGCACGCCAAGACGCacacgggcgaggcgggggccttCGAGTGCCAGACCTGCCACTTCCACGCCAAGACCAAGGCGCTGCTCAAGAGGCACGAAACGATCCACAGCGGTGAAAAGCAGTTCAAGTGCGAGCACTGCGACTTTGCGACTCGAGTCAGTTCCCACCTTGTCCGCCACCGACGCCTGCACACGGGCGCGAAGCCCTTCCGCTGCCCGCACTGCACCTACCGCTGCAACGACCCGGAGAACCTGCGCAAGCACGTGCTGAAGACCAACAAGCACCCGGGCAAGTGCCTGTACGAGTGCCGGTTCTGCCCCGGAGCCGGAGACGGCGTCTTCGCGACCAACAAGGCGGCCGACTTCCGAGCGCACCTCGCTCGCCAGCACGCCGACAAGTTCCGGAGCGCGTCGGCCGCTGCCTCCTATGTGTCCGGCATCTACGACAAGGCCGCGGACCCCGAGCAGGTGGACCGCGTGGTGCAGCCGAGACCGAGGAAAAGAGCGAAGACTCTGCTGGACGGCGAGCTCTTCCCGGCCATAGTGGTGGACACGGACTTCCCCGGGGACGTGGTCTACGTGCAGCTGGTGGAAAACGACGAGCACATCGTTGTGCTGGAGAACTAA
Protein Sequence
MAPAPPPPAAAGGQDDDDDSHFCLRCRQTVEGLEQYVAHRRAGCKAGGGSGPEGTLPDAPVTLQTTPTPTPAPAAEDEDGLKAADFFSQLELRSSNKEDGAARRGVRRVATPTAEEADEDDNDSWQYPPKTHTGGKWRPRSPAENNAFTAPPPSAGGKWGPPPSHSGGKWRPSPSPSPADGADKDDRREEYPAQDEHEDASEQGGAAKGPADEEDEEEEDKEERQVAVDWHPPPTHTRGKWAPGMAGKVRAALLQQAAPAPPAPARKYGSAVQYWCGSCNRRLASSRMYERHLKSDLHFRRTLPERQLDTGPLQPLPRPRPRRPDTHRDKGLGGRGLRVERCAVCRARVHRHQIGKHLVSHFHWRSTRTTAVGSVAADLVLDNIEAVVRQSPFQTVRCLLFLASIGVPRASCDAAFRYNAQLGRHERLHGHQVPQDQGGSTAGDRYQARFRCAVRACGALRRSRPALQKHVLVAHRGTGSPTAGCFYCGVCNKEFPSAGAAAEHRQTRGHRDAVRDRRERRLHGLQGWGQRRCPHCRRPCQGVAGLRAHLQAEHPDRQHRCALCGLGFTLSQEVSKHFRDVHRGGPGPTPGTGIGTPLVPPQDEAPPFTCAPCGFSTDSRAEMVFHRVLHGAPCARAEDGTATAPLYRCPLCSKPCRKQALRAHLNVHTGERPFRCGHCDKSFSRKDSCLSHELSAHAPKADVPETAGPPGDAHDEQERRLQDAISSIVDAGPPPPSAPVDTFGAEFPPLVDDAVVGVDWGASAAGPAKESDESRERAHLCDVCGKCFLTKTTLRQHQVSVHGVKPLACSWPGCVIRLRSPAELRAHAKTHTGEAGAFECQTCHFHAKTKALLKRHETIHSGEKQFKCEHCDFATRVSSHLVRHRRLHTGAKPFRCPHCTYRCNDPENLRKHVLKTNKHPGKCLYECRFCPGAGDGVFATNKAADFRAHLARQHADKFRSASAAASYVSGIYDKAADPEQVDRVVQPRPRKRAKTLLDGELFPAIVVDTDFPGDVVYVQLVENDEHIVVLEN

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

100% Identity
-
90% Identity
-
80% Identity
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