Basic Information

Gene Symbol
-
Assembly
GCA_948253155.1
Location
OX411831.1:1561827-1563500[+]

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 10 2.2 2e+02 3.5 2.6 2 23 229 251 228 252 0.90
2 10 5e-05 0.0046 18.1 1.2 1 23 257 279 257 279 0.99
3 10 0.0038 0.36 12.1 6.1 1 23 285 308 285 308 0.95
4 10 0.68 63 5.0 0.0 6 21 319 334 315 335 0.90
5 10 8.6e-06 0.0008 20.5 4.9 2 23 357 378 356 378 0.96
6 10 3.4e-07 3.2e-05 24.9 1.7 1 23 385 407 385 407 0.98
7 10 4e-05 0.0037 18.3 0.2 1 23 413 435 413 435 0.98
8 10 1.2e-05 0.0011 20.0 2.1 1 23 441 463 441 463 0.95
9 10 5e-05 0.0047 18.0 5.2 1 23 469 491 469 491 0.99
10 10 2.7e-05 0.0026 18.9 3.3 1 23 497 520 497 520 0.97

Sequence Information

Coding Sequence
ATGTCGGAAGAAGAAGACTCCTACTGTCGTTTATGCGCCGAACCAACATCGAAAACCCAACTGATATCTCCAGATGACGATGTAGGACTGAATTCGAAAATTGGCACAAAAATGTTGTGGATTAATATCGATATTTCTACTAAAAATGCTCTACCGAATTCTATTTGCTTCTCATGTTTCGACTTATTAGAACGTACGTGGTCTTTTTTAAACAACGTTAGAAGTGCTCAATCAAAGTTAAACGAGATATTCTTAAAAAAAGAAACGGAAATATCGTCAGCCGATATAAAGGCAGATCCTGACGATATCGTCGGAGTTAATGATGATTCGGAACAAAGTTTATCAACTGACGCCGTAGGAGAACCTGATATCACTGGTAAACCTGTTAATAAAGACTGGGAAGCTTTTGAAGACTTGAAGGAGGAGATTAAGCCCGACATATTGAATGGTGAACTAGAGATCATTGATGATCCAGATTCGTTGATGAATTTAGATCTTAAAGTGGAGAGAACTACTGATGAATATGACCCTGAATCTGATGGTTTCCATACATGTGACAGCGATCTACCTCTACTTGAAGCTTTAAAAATAACATGCAAAAGGAAAAAGAAATTTAAACACTCCTCCAGTAATCGTTCGGACAGTGAGGTTTGCCAATCGCAGACATGGGACCATCAAATCTGTATATGTGCAGATTGTGATGCTCAATGCAAGAATATAATGTCTTTACGACTCCATGCACTTCAAATACACCATCAATGTTGTTTGTTTAAGTGTTCAGACTGCGGTAAAGTCTTGAACAGCAACAGAAGATTTGTAAACCATGTCAGAACACATAATAAAGCGCTACGGCACTGCTGTGAGTTCTGTAATAAGCAATTTATAAAGACTTCTGCCCTTAATAAACACCGTAATAAGATACACAGTGAAACATATGCTACAGCATGTGTATGTTGTGGATCAGCATTCGAGAATGAGGAACAACTCCAAGATCACATAATAATCTATAAACGTACTATTAAAAAGCGCACTGGAAGGCGAGAAAAACAAAATTTCTTGGATAGTTTGAAGTGTGAGCATTGTAAAAAGCAGTTTAAAACACGTAGTAATCTTCAACAACACAAACTGATTCATATGGAACGCAGCAGAGACTTCTCCTGTCATGTATGCGGTAAAATGTTCTTCACAAAAGGTACTTTAATTGCTCATATGTCGACACATGAAGAAGTCAGACCTTATAAATGTGAATTCTGTCCGCTAACATTCCGTGCTCGAGGAAATTTGCAGGCTCATGTTAGTATTCACTCTGGTACTAAACCGTTTATTTGTGAACAATGTGGTAAAAGTTTTCGTGTTAAACGTCATTTAAAATCACATTCCATCGTACACACTGACTTGAAACCTTACAAGTGCAACTATTGCAGCAAGACTTTTAAATTTAAGACACGTTTGAATCTGCATCTACGTCAGCACACTGGAGCAAAGCCTTATAATTGTGTATATTGTAATCGAGACTTTACAAATGGCTCCAATTATAAGAAACATATGAAGCGTAAACATTGTGTTGATACATATCCTACAAAAAAATGTAGCAGTAATAATGTTGCACCAGTTGAGGTCCCAGAAGAAGATCTTCCTCGAGCGAAAAGCGTTACCGAAGAGACGGACACATGA
Protein Sequence
MSEEEDSYCRLCAEPTSKTQLISPDDDVGLNSKIGTKMLWINIDISTKNALPNSICFSCFDLLERTWSFLNNVRSAQSKLNEIFLKKETEISSADIKADPDDIVGVNDDSEQSLSTDAVGEPDITGKPVNKDWEAFEDLKEEIKPDILNGELEIIDDPDSLMNLDLKVERTTDEYDPESDGFHTCDSDLPLLEALKITCKRKKKFKHSSSNRSDSEVCQSQTWDHQICICADCDAQCKNIMSLRLHALQIHHQCCLFKCSDCGKVLNSNRRFVNHVRTHNKALRHCCEFCNKQFIKTSALNKHRNKIHSETYATACVCCGSAFENEEQLQDHIIIYKRTIKKRTGRREKQNFLDSLKCEHCKKQFKTRSNLQQHKLIHMERSRDFSCHVCGKMFFTKGTLIAHMSTHEEVRPYKCEFCPLTFRARGNLQAHVSIHSGTKPFICEQCGKSFRVKRHLKSHSIVHTDLKPYKCNYCSKTFKFKTRLNLHLRQHTGAKPYNCVYCNRDFTNGSNYKKHMKRKHCVDTYPTKKCSSNNVAPVEVPEEDLPRAKSVTEETDT

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

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