Basic Information

Gene Symbol
-
Assembly
GCA_018231745.1
Location
DVQP01011834.1:5-4471[-]

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 0.18 15 7.0 3.2 2 21 176 195 175 196 0.94
2 13 0.12 9.7 7.6 0.5 2 23 329 350 328 350 0.96
3 13 0.0023 0.19 12.9 0.6 2 23 435 456 434 456 0.96
4 13 0.14 11 7.4 1.4 1 23 464 486 464 486 0.95
5 13 0.044 3.7 8.9 3.1 1 23 520 542 520 542 0.95
6 13 0.00031 0.025 15.7 5.4 1 23 550 572 550 572 0.99
7 13 1.5 1.2e+02 4.1 1.6 1 14 621 634 621 635 0.90
8 13 0.0069 0.57 11.4 0.4 1 23 639 661 639 661 0.93
9 13 0.0054 0.45 11.8 1.6 1 23 667 689 667 689 0.96
10 13 0.0042 0.35 12.1 2.6 1 23 779 801 779 801 0.97
11 13 0.00011 0.0087 17.1 1.4 1 23 807 829 807 829 0.99
12 13 0.14 11 7.4 1.1 1 23 921 943 921 943 0.97
13 13 0.0015 0.12 13.6 1.7 2 23 955 976 954 976 0.98

Sequence Information

Coding Sequence
ATGGAGAGAGACATCGTTTGCTGTAATAGTGACTCCAACGAAGCTTTCGCTTCAGACACACCAACAAAAGATAATATGCATCTACGGAAAGAATTAGAACAGCAAGCTGTTTCATCAGACGAAGGCAAAAATCCGAAACAAAGCAAAAAGATTCCTAGACCCATCCCGCAGTTAATACCCCTTAACACTTCAACTCCAACTCAAAACAAGACAAACTCTGGGGAACCACCagcgaaaaaaattaaagaatctGAAAAACCAGAAAATGTAGCACCAGAAATAAGTCGAACTTCAATAAACAATACagtttgtaaagaaaatacaaaaacaaaaaagaacgAGTCATTTTTTGACAGATTAAAAGAGAGATTGCTGACGGAAACCGGTGAGGAGGGGACACTAGTCTGTAAAAATTGCGGATTTGAAAGTAAATGTTTATCTGAACATTCTGtccatgaaaaaaattgttccgCACAAGCAAACCGAATATCAACGAATCCTTTGCATTCAAGTTTAGGATCAACGCGATGTCAAAACTGCAGACACCGATGCAAATCGAGTGCAGATctttacatacatatgcaATCATGCAAAAAGAAAGATGATTCTTTAGAAAATACAACAGAAACATTCAACCAAGACAGTAGTGAAACTCCCTCCGTTAATCTTGAAAAAGAATCCGAACCCCACCCTATGGAAAATGTCGTTTTTGTctggaataatattaatcaaaacagtaacaaatttaatacaccGTTAGACATAAGTATAAATGATGATTCCACGCTTCCAGAACAAGGAACAACTATAGAGCTAGATATAACAGATGAAAATGAAGCGATGAGTTTATCACCCAGCCAAGCGTAtgGTACCAACAATTCTTTTGATCTACAACCACTAAATCTACAAACACAGCCAaacgaatttaaatttgaaatagaCGGACGGATTCAAGAAACTAAAAAGCCTAAAAAATCTGTgtggaaatgtaaaaaatgtaattacagAGATTCTTCGAAAGAAGCTCTGTTGGAACATGTTCGAGAACATTCGAAGCCGGAAGAAGGTGTAGAGGACAGCAAACTTCACATAATCCCTAATAAGAAGCCGGAAAACACGCCCGATCCTGCTGACTTAGCTTACCGATGCGGCCATTGTAATCAACTATCTAACTGGAAACATGTCATACagaGGCACTGTCGGTTAAAGCACGATGGAGTTATAAAAGtgataacaacaataaaacctAAACCTGAAGCCAACACATCGGCCCCTTCCTCCATGAATGAATTATCTAATGATACTTGTACCAAATGCCCATATAAATCAACAGATAAGAATACGCTAATAGCACACTTACAACAGCATCAGCCGTCTTCACAATCaatattcaaatgttatttctgTCCTTTCTTTGTAAAAGATGAACACGAATTAATACAACACCTTGTTCTACATGGTATTACTGATCCCGAAGAATATATATCGAAAGCTATGGGCTGCAGATCGCCTTTACCAGAAACTAATGCATCCGTCAATTATTGTGGTACCAAACGTCATAAATGTACTGAATGTCCATACGAAACGAATAGTAAATCTCAGTTCATATATCATGAGCAGTTTCATCGATTGCCCGCTGACACTCCTTATAAATGTCAAGAGTGTAATTATAGCGTCTCAAAAAGACATTTACTACATCAACATATGAGGGTACATGGTATTTTTGCCAAGAAAAGTGAAATGGACATTGAATTAGAAGCTGCCAATTCTAATCAAGAAGACATCAAAGCTgacttctttataaattttgatgaaattccTTTCGTGTGGGTCTCAGCAAAGAATGactttcataaaatgtataaatgtcGCTATTGCTCGAAATCTACCGAAACAAAGCATGCACCAAAACAATACCTTTGTAAAGAATGTCCTGCGAAGTTTTTCAAAAGTTCAGCATTAAGTTATCATATGGGATTACACGGTGGAGACGGAGACCataaatgcaaaaaatgtAGTTATTCTGTAAAGAACATTGGAAACCTTGCAAAACATGAATTACTTCATGAAAATGAACATAAAGTGTCAACAGTAGATTATGAATCCGGGGAGGATTtagactataaaaatattcctttgtcTGGAACTGAcctatttcaaagaaaaactgAAGCCCAGAAAAGAGTGTTAACTGATAAAGATAAACTCGTTAAGCCAAATGATCATTTTCCTCCAGTACTTCAAGCTGATCCCCAATTTGGTTATTTAATGCATGGCAATCCAGAATTTATATATCCCACCTACTTAAAGAATGGACGCCAAAAAGAGAAACGTTACAAATGCCATAAATGTCCATCAGCGTTCGAAAAGCGcgagcaatataaaatccatttaTCCCTTCATGGTTCGaaacaaagatataaatgTGAACTTTGTGATTattctgttaaatattatgCTAATTACGTGCAACATATGCGTAAACACCAAATGAATGATGAAGCTCAAgctgaaagaaaaaaatgtaatggttTTATTGAAACTGAGAACGACAAATCAGAAAATAAACTGGACGATAGCgctgataatattaaactagcAATTAAAACAATGCCAAAAAGACCACCTAGAAGCGATTTTCAACAATTTTCAGTGAGCGATCAGCAGACACTTCGTTTGTTACAACGTAGGCGTTCTATGAATAATTCTTCTAAAGATGCTAACACATCTGATGTTTCCCCAATAAAAGATCGTAAATTGCATGTATGTTTACTATGTCCGTATACAAATCAACGCCAGGACGCGCTTTGGAATCACTACAGAAGACACGATGAAACGGAGCGATTATGTTCTGGCAACCAAAAATGTTCATACTGCGATTTAGTCGTGGTGCAATCTCATTTCCTCCGTGAGCAcctaaaaacacattttaattatcagaAGAACCTAACCCCAGAGTGCTTCGTTGCTAACGAAAACGTTAGCTTTACAATAACCAAATTAGATGACAACGATTTGTCTAGTGATCTCAAATTAGATTCCATTAATCAAAGTTTACCGTGTAGTgataataagatatttgttaaaattaaaactggtGAAGTATATGTTGAATGA
Protein Sequence
MERDIVCCNSDSNEAFASDTPTKDNMHLRKELEQQAVSSDEGKNPKQSKKIPRPIPQLIPLNTSTPTQNKTNSGEPPAKKIKESEKPENVAPEISRTSINNTVCKENTKTKKNESFFDRLKERLLTETGEEGTLVCKNCGFESKCLSEHSVHEKNCSAQANRISTNPLHSSLGSTRCQNCRHRCKSSADLYIHMQSCKKKDDSLENTTETFNQDSSETPSVNLEKESEPHPMENVVFVWNNINQNSNKFNTPLDISINDDSTLPEQGTTIELDITDENEAMSLSPSQAYGTNNSFDLQPLNLQTQPNEFKFEIDGRIQETKKPKKSVWKCKKCNYRDSSKEALLEHVREHSKPEEGVEDSKLHIIPNKKPENTPDPADLAYRCGHCNQLSNWKHVIQRHCRLKHDGVIKVITTIKPKPEANTSAPSSMNELSNDTCTKCPYKSTDKNTLIAHLQQHQPSSQSIFKCYFCPFFVKDEHELIQHLVLHGITDPEEYISKAMGCRSPLPETNASVNYCGTKRHKCTECPYETNSKSQFIYHEQFHRLPADTPYKCQECNYSVSKRHLLHQHMRVHGIFAKKSEMDIELEAANSNQEDIKADFFINFDEIPFVWVSAKNDFHKMYKCRYCSKSTETKHAPKQYLCKECPAKFFKSSALSYHMGLHGGDGDHKCKKCSYSVKNIGNLAKHELLHENEHKVSTVDYESGEDLDYKNIPLSGTDLFQRKTEAQKRVLTDKDKLVKPNDHFPPVLQADPQFGYLMHGNPEFIYPTYLKNGRQKEKRYKCHKCPSAFEKREQYKIHLSLHGSKQRYKCELCDYSVKYYANYVQHMRKHQMNDEAQAERKKCNGFIETENDKSENKLDDSADNIKLAIKTMPKRPPRSDFQQFSVSDQQTLRLLQRRRSMNNSSKDANTSDVSPIKDRKLHVCLLCPYTNQRQDALWNHYRRHDETERLCSGNQKCSYCDLVVVQSHFLREHLKTHFNYQKNLTPECFVANENVSFTITKLDDNDLSSDLKLDSINQSLPCSDNKIFVKIKTGEVYVE

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

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