Basic Information

Gene Symbol
-
Assembly
GCA_948253155.1
Location
OX411817.1:6039393-6044419[-]

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 12 2.3e-05 0.0022 19.1 0.6 3 23 157 177 155 177 0.97
2 12 0.46 43 5.6 2.1 1 23 181 203 181 203 0.91
3 12 0.0011 0.1 13.8 0.3 2 23 218 239 217 239 0.96
4 12 0.00051 0.048 14.9 3.5 2 23 247 268 246 268 0.96
5 12 0.00055 0.052 14.8 0.2 1 23 274 296 274 296 0.98
6 12 0.021 1.9 9.8 2.5 1 23 302 324 302 324 0.96
7 12 1.2e-07 1.1e-05 26.3 1.0 1 23 330 352 330 352 0.96
8 12 1.5e-05 0.0014 19.7 0.2 1 23 358 380 358 380 0.98
9 12 0.0002 0.019 16.2 0.4 1 23 386 408 386 408 0.97
10 12 1e-06 9.6e-05 23.3 3.5 1 23 414 436 414 436 0.99
11 12 1.5e-07 1.4e-05 26.0 1.0 1 23 442 464 442 464 0.99
12 12 2.2e-05 0.0021 19.2 1.1 1 23 470 492 470 492 0.97

Sequence Information

Coding Sequence
ATGGATCTCAATGTGCATGGTAAAATTTATAACCACTGTTGTCGCACATGTTTACATGAAGATTCAATTGAAATGTTTGATATCTTTGAACTCAATAGAAAGAATGACACAGTAAATATATATGAAATATTGTCTACATACACACTACAGATCACAATAGAGGATCAGCTACCTAAGAAAATATGTATTAATTGTTACAACTGTTTATTAAGTTTTCATAATTTTCTGAATGTTGCTTTAAAAGTTGAAACAAAGCTGAAAGAGTATATCAGACAGTATCAAACTATAATAGTTAGAGAAGATGAGGATAAACACTTATATCAAGAAAACAGATGTGATTCTGAAGCACCTCCAAAAATAGATAAAAGTGTGGGTTACAATAGTTATTTATTGGAAGATAATATAGAAAATAATAGTTTATCAAGTGCTCAAGGGATCATTGAGATATCTGAACAGAAAGAAGTGAATTGCCAGTTTTGCAATGAACAGTTTAAAAATAACGCAAATCTTGAACAGCACTTGTTGACACATACTAAGGAATACAATTGCATTTGGTGTACAGAAACTTTTAGAAACTGTACTAAATATATTGAACATTTAGGCAAACATAATCAAAATAATACTCAAGGAGAAAATCAAAATGATAAACTAGTATGCGAGATTTGTTCTTTAACTTTCAAATCAATACCGTCTCTATCAGCTCACAAAAAGAAGCATACTGCCAAAGATAGAGTGTTGCAATGTAAAGTATGCAGTAAATTATTTAAAAAAATTAGTCATTTAAAACGTCATGAACTCAGCCATATTGATAACCGTCCTTTTAAATGTACATTATGCCCGAGATCATATGCTTCAGAAGATATTTTAACTGCTCATTTAAATAAGCATAACGGTATAAAGACCCACTGTTGTCCGATATGTATGAGAGCGTTTGATAATTTGAGAGTTCTGACTAATCATATAAAAAATCATACAAGAAACAAGTCATATTTGTGTCCGACTTGTGGTAAGATGTTTGAATCGAGTACTAACTTAAACCAGCACATGAAAAGACACGAGGGCTTGAAGTTGTTTTCTTGCAATTTGTGCCCTAGGGCATTTGTTAGTAAAGGTGAATTAAAATCTCATGGGCTAACTCATAGTGGTGAAAGATCATTTGCCTGCGACCAGTGCAATGGAGCTTTTCCAAAACGCAGTTCTTTAGAGAAGCACAAGTTGACGCATTTAGGGCTTAAACCATATCAGTGCGATGTGTGCAATGTGAAATTTTCAGACAAAAATCATTTGAAACGCCACTACAGAATACATACGGGTGAAAAGCCTTACCGTTGCGACATCTGCGATCGAGCATTCACACAGAGTAATGACTTGGTCAAGCATAAGAGAACACATTTAGGAAATAATTTGTATAAATGCGACGAATGCAGCCAAAGTTTCAGATTGAAAACAGAACTACGTCAGCATATTTCGGAACATTTTATATCAGCGCAGTTGGCTTCTAAATCCGGCGGGAATACAGCACCTCAATATGTACAAGAATGTGATAGTAGTATAATAGATTATTGTTAA
Protein Sequence
MDLNVHGKIYNHCCRTCLHEDSIEMFDIFELNRKNDTVNIYEILSTYTLQITIEDQLPKKICINCYNCLLSFHNFLNVALKVETKLKEYIRQYQTIIVREDEDKHLYQENRCDSEAPPKIDKSVGYNSYLLEDNIENNSLSSAQGIIEISEQKEVNCQFCNEQFKNNANLEQHLLTHTKEYNCIWCTETFRNCTKYIEHLGKHNQNNTQGENQNDKLVCEICSLTFKSIPSLSAHKKKHTAKDRVLQCKVCSKLFKKISHLKRHELSHIDNRPFKCTLCPRSYASEDILTAHLNKHNGIKTHCCPICMRAFDNLRVLTNHIKNHTRNKSYLCPTCGKMFESSTNLNQHMKRHEGLKLFSCNLCPRAFVSKGELKSHGLTHSGERSFACDQCNGAFPKRSSLEKHKLTHLGLKPYQCDVCNVKFSDKNHLKRHYRIHTGEKPYRCDICDRAFTQSNDLVKHKRTHLGNNLYKCDECSQSFRLKTELRQHISEHFISAQLASKSGGNTAPQYVQECDSSIIDYC

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

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