Basic Information

Gene Symbol
-
Assembly
GCA_013368085.1
Location
JABVZW010002692.1:62952-64457[+]

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 15 1.8 89 4.0 3.3 1 23 74 96 74 96 0.92
2 15 0.00057 0.029 15.0 1.1 1 23 98 120 98 120 0.97
3 15 0.0044 0.22 12.2 2.1 2 23 124 145 123 145 0.95
4 15 0.0019 0.096 13.4 2.4 1 23 151 173 151 173 0.97
5 15 0.093 4.8 8.0 0.2 3 23 181 201 179 201 0.93
6 15 0.00098 0.05 14.3 1.1 2 23 208 229 207 229 0.97
7 15 3.4 1.7e+02 3.1 6.6 1 23 235 258 235 258 0.97
8 15 0.00019 0.0098 16.5 1.9 1 23 264 286 264 286 0.98
9 15 0.0025 0.13 13.0 6.9 1 23 292 314 292 314 0.97
10 15 0.0042 0.21 12.3 4.2 1 23 320 342 320 342 0.97
11 15 7.9e-05 0.004 17.7 3.4 1 23 347 369 347 369 0.97
12 15 0.0032 0.16 12.6 0.3 1 23 375 397 375 397 0.97
13 15 0.0029 0.15 12.8 2.9 3 23 405 425 403 425 0.97
14 15 0.0014 0.072 13.8 1.0 1 23 431 453 431 453 0.98
15 15 0.16 8.1 7.3 1.4 3 21 461 479 459 480 0.94

Sequence Information

Coding Sequence
aTGACTGAATCTACAGAAATCGCGTGCAGAATTTGCtcaggaaaaattaaacaagaagcGAACTTTGATTTACTTCCAAACTCGAAGTCGGAACTCCCTTCTGAAGACAGTCTAAATGTCACCGAAAACACAGTTGCGTGTAACAAATGCAAGGTGGAGATCGACGACGATTcgcattttgttaaaaatgaaattaaagagGAACCGGTTGATAATAATTTCCATTGTTACGAGTGCAGTTACTGCACCAACGACATACTAAATCTAACCGATCACGTTTTCGCCCACCGTTTCAAATGTGATCGGTGCGATTATACGACTCGCGATGGGTCTACGTTAACGAATCATCTACAAGATCACTCGTTGCTTCGTTGCGACCAATGCGACTACCGAACATCGAACAAATACAGGTTGACTCAACATAAAACGGTGCATTCGGAAGAGAGACCTTTTAAATGCGGCTCGTGCGATTTCAGCACTAAACGCGCGAGCAGTTTAAAAATGCACGCGCACATGCATTCGAATAAACGGAACATTGCgtgcgacaagtgcgactacaagaCGTACGCCAAGAGTCTATTGACGATGCACAAAGGAATACATTCTGGGAAAGGGCCGCTTAAGTGCGATTTGTGCGATTATCGAACTAAATATTTACGCGAATTAAAGGTGCACTTGAATAAGCATTCCGGTGAACATCGATTTAGCTGCGACATGTGCAAATACACCacttattgcaaaaattatttggcaaaacacaaaaaaacaaaacattctgAAGACAAGCCATTCAAATGCAATTTGTGCGATTACCAAAGTAAGTATTCGagtactttaaaaattcatatgGTCAGACACTATGGTGAGCAACCGTTCtgctgcgacaaatgcgactacaaGTCGTATTACAGATATCATTTGACTGAACATATGAGAGTTCATTCCGGAGAAAAACCCTTCAAATGCAATTTGTGCGATCatcgatgtaaatatttaaatgaattaacattACATATGGTAATACACGGCGAACGAAAATTCAATTGCGATcagtgcgattacaaaacttacACCAAAAGTAATTTGACGAAGCACAAGAAGGTTCATTCCGATGAAAAACCGTTCGAATGCGGTTTGTGCGATTACAAAAGTAAGGATTCGATCAGTTTAAAAATTCACGCGCTCAAACATTCCGGCGAGTTTCTTTACggctgcgacaaatgcgactacaaaaccTGCTACAAATCGAGTTTGACGCAACACGAAAAAGTTCATTCGAATGAGAAATCGTATAAATGCAATATATGCGATTACGggagtaattatttaaaagacttTAAAGTACATTTGGAGAAGCATTCGGGCGGGGGTAAATTTggctgcgacaagtgcgattTTAAAACGTATTATAAATATAGGTTGACCAAACACAAAAGAGTGAGAAAATGTGTTTGA
Protein Sequence
MTESTEIACRICSGKIKQEANFDLLPNSKSELPSEDSLNVTENTVACNKCKVEIDDDSHFVKNEIKEEPVDNNFHCYECSYCTNDILNLTDHVFAHRFKCDRCDYTTRDGSTLTNHLQDHSLLRCDQCDYRTSNKYRLTQHKTVHSEERPFKCGSCDFSTKRASSLKMHAHMHSNKRNIACDKCDYKTYAKSLLTMHKGIHSGKGPLKCDLCDYRTKYLRELKVHLNKHSGEHRFSCDMCKYTTYCKNYLAKHKKTKHSEDKPFKCNLCDYQSKYSSTLKIHMVRHYGEQPFCCDKCDYKSYYRYHLTEHMRVHSGEKPFKCNLCDHRCKYLNELTLHMVIHGERKFNCDQCDYKTYTKSNLTKHKKVHSDEKPFECGLCDYKSKDSISLKIHALKHSGEFLYGCDKCDYKTCYKSSLTQHEKVHSNEKSYKCNICDYGSNYLKDFKVHLEKHSGGGKFGCDKCDFKTYYKYRLTKHKRVRKCV

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

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