Basic Information

Gene Symbol
-
Assembly
GCA_013368075.1
Location
JABVZV010001557.1:837245-838798[+]

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 0.00028 0.004 17.7 0.8 1 23 61 83 61 83 0.98
2 15 0.011 0.16 12.6 2.0 1 23 88 110 88 110 0.98
3 15 0.031 0.44 11.2 1.1 1 23 115 137 115 137 0.98
4 15 8.3 1.2e+02 3.6 3.8 1 23 142 164 142 164 0.91
5 15 0.031 0.44 11.2 1.1 1 23 169 191 169 191 0.98
6 15 8.3 1.2e+02 3.6 3.8 1 23 196 218 196 218 0.91
7 15 1.6e-06 2.2e-05 24.7 0.7 1 23 223 245 223 245 0.99
8 15 0.015 0.22 12.2 0.4 1 23 250 272 250 272 0.98
9 15 0.0085 0.12 13.0 1.4 1 23 277 299 277 299 0.99
10 15 5.1 72 4.2 3.0 1 23 304 326 304 326 0.90
11 15 3.4 48 4.8 4.1 1 23 331 353 331 353 0.94
12 15 0.1 1.4 9.6 0.8 1 23 358 380 358 380 0.97
13 15 0.082 1.2 9.9 1.5 1 23 385 407 385 407 0.98
14 15 0.002 0.029 14.9 0.6 1 23 439 461 439 461 0.98
15 15 3.1e-05 0.00044 20.6 1.7 1 23 466 488 466 488 0.99

Sequence Information

Coding Sequence
ATGGATATTGattgtaatgaaagttatctgaTAAAATCGGAagtaattgtaaatgaaacattttccttTCATGAAGGTTATGGGAGTGAAGAAGTGAAAGTGGAGCCGGTCGATTTTGAAGCAGCTTTTAAATGTAAAGGAGATAATCATATGGAGCACACCAATAAATCCAAATgtgaatatatttgtaatgaatgtgactaccAAACAATGAAGAAAAGTCTACTTAAATCACACATCAGAATCCAcactggcgatgaatataagtgtaaagaatgtgactacaaaacactaCGGAAGCaaagtttaaaggaacatgtaaaaattcatactggtgatgaatataagtgtaatgaatgtgattacaaaacgcCATGGAAGCAGAATTTTAAGgatcatgtaaaaattcatgctggtgatgaatataagtgtaaggaatgcaaTTACAAAACACTATGGAAGCGGAATTTTAAggtacatgtaaaaattcatactggtgatgaatataagtgtaatgaatgtgattacaaaacgcCATGGAAGCAGAATTTTAAGgatcatgtaaaaattcatgctggtgatgaatataagtgtaaggaatgcaaTTACAAAACACTATGGAAGCGGAATTTTAAggtacatgtaaaaattcatactggtgatgggtataaatgtaatgaatgtgactataaaacagtgaggaaagatCAACTTAGAGCAcacatcagaatccatactggtgatgaatataagtgtaaagaatgtgactacaaaacaatATGGAAGCCGAGTTTAAAGGACCATATacaaattcatactggtaatgaatataagtgtacggaatgtgactacaaaacaccatggaagaaGAATTTTAAGAGTCATATAAAcattcatactggtaatgaatataagtgtaaggaatgtaactacAAAACACTATGGAAGCAAAGTTTAGAGAAACATGTAAAcattcatactggtaatgaatataagtgtaaggaatgtgactacaaaacactaTGGAagcaaagtttaaaaaaacatgtaaaaattcatactggtgaagaatataattgtaaggaatgtgattacaaaacaccatggatgcagactttaaaaaaacatataaaaattcatactggtgatgaatataagtgtaaggaatgtgattacaaaacaccatggaaacagaatTTTAAGGATCATGAAAAAATTCAtgctggtgatgaatataagtgcaaggaatgtaattacaaaacacTGTGGATACGGAATTTTAAggtacatgtaaaaattcacactggtgatgagtataaatgtattgaatgtgactataaaacagtgaggaaagatCGACTTAGAGCAcacatcagaatccatactggtgatgaatataagtgtaaagaatgtgattataaaacaccatataaaaataatttgaacagaCATTTGAATATTCACAgtgataaaaatataagtgtTATTAATGGGTAA
Protein Sequence
MDIDCNESYLIKSEVIVNETFSFHEGYGSEEVKVEPVDFEAAFKCKGDNHMEHTNKSKCEYICNECDYQTMKKSLLKSHIRIHTGDEYKCKECDYKTLRKQSLKEHVKIHTGDEYKCNECDYKTPWKQNFKDHVKIHAGDEYKCKECNYKTLWKRNFKVHVKIHTGDEYKCNECDYKTPWKQNFKDHVKIHAGDEYKCKECNYKTLWKRNFKVHVKIHTGDGYKCNECDYKTVRKDQLRAHIRIHTGDEYKCKECDYKTIWKPSLKDHIQIHTGNEYKCTECDYKTPWKKNFKSHINIHTGNEYKCKECNYKTLWKQSLEKHVNIHTGNEYKCKECDYKTLWKQSLKKHVKIHTGEEYNCKECDYKTPWMQTLKKHIKIHTGDEYKCKECDYKTPWKQNFKDHEKIHAGDEYKCKECNYKTLWIRNFKVHVKIHTGDEYKCIECDYKTVRKDRLRAHIRIHTGDEYKCKECDYKTPYKNNLNRHLNIHSDKNISVING

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

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