Basic Information

Gene Symbol
-
Assembly
GCA_905147375.1
Location
LR990218.1:2221332-2225782[-]

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 9 9.8 6.6e+02 1.3 0.4 2 10 71 79 70 86 0.64
2 9 0.00087 0.059 14.0 0.4 2 23 219 241 218 241 0.96
3 9 0.00067 0.045 14.4 1.1 1 23 246 268 246 268 0.98
4 9 9e-05 0.0061 17.1 1.8 1 23 272 294 272 294 0.98
5 9 0.046 3.1 8.6 0.0 3 23 309 330 308 330 0.94
6 9 1.9e-05 0.0013 19.2 1.3 1 23 334 356 334 356 0.98
7 9 0.00012 0.0079 16.8 1.0 2 23 389 410 387 410 0.94
8 9 0.034 2.3 9.0 0.4 1 19 416 434 416 435 0.86
9 9 2 1.4e+02 3.4 2.4 2 23 445 467 445 473 0.96

Sequence Information

Coding Sequence
ATGGCTGAAAGCTTGGACATGAAGAACGTTGTAAAACATCTTGCAAACGGCTCGCTCAGTGAATTGTGTTTGATATGCCTGTTCCCTCTGAAAGATAAAACTTTTGAGAGCTTATTTACGTTGGTATGCAAGGAAGAGAGGAATTACTGCGTCGCTGATGCCCTGGAGGCAGTGTGCCAATTTCGGTTTAATGGTACTGAAAACTACTGCGTCTGCACAGAGTGCTTTAAATCCGCCTCTGCAGCGTACATGTTACACCTTCAAGCCAAAAAAAGTATGGAAGTAATTGCCTTTTACACGGAAGAACTAATCAACAATATTAAAAATGTGAAAGTCACAAACGAAGATACAGAAAAGCTGCTTTGCATTCCATTAACAAATTACAAGCCAGAAACTTGTTTATTTGACTACAATCTGGGTGGTATTGGTCAAGAACTTACGGATGATGATGATACGGCAGGTAATAACATAGAAACTAAAGACAGCAATGTAATTATGGTAGTTGAAGATAAGAAAACCTCATTCTATAAGTTAAACCCAGATGGGACACTGAAGGTGATGGAATCGGAAGAAAAATGTGGCCAAGGTGTAAAAAAGGCGAAGACTGTGAATGAAAAGAAAGAAAGGAAGAAAAGGGATCCGATGGCCTATTTGCCCTGCTCCCGGTGCCCCATAAAGTATAGGTTCATATCTAAGCTAAGGGTGCACATGAAAACTGTACATCAAGTTGACCTTTATTATTGTAAGATTTGTAAAATAACATCGGAGAACAAGGAGGAATATGAATCACATTTGAAGAGTCACCGGGGAGATCACCAATGTACCGTCTGCAACGCTGTTTATAAGAAAAGCGAGACTCTTATGTCCCATATGAAGCTGCATGAAGAAGGGAAAGTTATTGAGCAGTCAGACACTGCCAACATCTGCGAGTTGTGCGGAGCCATCCTTGAGGATGAGGATTCTCTGACGGAGCACATGGCCAACAAGCACGATAAGAAGTACACATGCTACTACTGCGGCAGGATGTACAAAGGGGAGTCGAGCTTCGAGAGACACATAGAGAAGCACGAAGTGTATTGGAAGAAGAAGAATGGGGTTAAAAGCGAGCAGGCTGCCCCCAAACCCGTGGAGGCAGCCGACCCCGGCAGCAGAGGCAAGCGCTGCGAGTGCTTGACCTGTGGGAAAGACTTTGTTGACGAGCGCTCGCTGTTGTGGCACCAGAGGCTACACAACAACGACAGGCCGTTCACTTGCGATACGTGCGGGCGCGGCTTCGTGTCCAAGAACCGGCGCAACCAGCACGCGGTGTGCGCGCACACGCCGCCCGCGCGCCGCTGCCCGCTCTGCCCCGCGCTCTTCCACCTCCGCTCCATGGTCAACACGCACGTCAAGAAGGTGCACCTGAAGTCCCACAAGCGCCGCAACCGCACCTCGAAGCACCCGCACGTGTTCTGGCGCACGGAGCCCGTGCCCATCCAGGAGCTGAGCGTGGATGTGCAGCACGACGTGCTGGAGCTGCAGACCATGGACACCGGCGCCCAGGGGCCGGGGGCGGCCCAGGGGCCGGAGGTAGCCCAGGGGCCGGGGGAGCCCGAGGGCCAGGTGGCGCCGCCCGCAATCCCCCCGACTGAAGAGATGGAGAACGAACCGTCAATAGATGATCCAGACAGTTTGCGAGAAACTAGCTACTTGCTATACATGGAAGACTAG
Protein Sequence
MAESLDMKNVVKHLANGSLSELCLICLFPLKDKTFESLFTLVCKEERNYCVADALEAVCQFRFNGTENYCVCTECFKSASAAYMLHLQAKKSMEVIAFYTEELINNIKNVKVTNEDTEKLLCIPLTNYKPETCLFDYNLGGIGQELTDDDDTAGNNIETKDSNVIMVVEDKKTSFYKLNPDGTLKVMESEEKCGQGVKKAKTVNEKKERKKRDPMAYLPCSRCPIKYRFISKLRVHMKTVHQVDLYYCKICKITSENKEEYESHLKSHRGDHQCTVCNAVYKKSETLMSHMKLHEEGKVIEQSDTANICELCGAILEDEDSLTEHMANKHDKKYTCYYCGRMYKGESSFERHIEKHEVYWKKKNGVKSEQAAPKPVEAADPGSRGKRCECLTCGKDFVDERSLLWHQRLHNNDRPFTCDTCGRGFVSKNRRNQHAVCAHTPPARRCPLCPALFHLRSMVNTHVKKVHLKSHKRRNRTSKHPHVFWRTEPVPIQELSVDVQHDVLELQTMDTGAQGPGAAQGPEVAQGPGEPEGQVAPPAIPPTEEMENEPSIDDPDSLRETSYLLYMED

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

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