Basic Information

Gene Symbol
-
Assembly
GCA_933228635.1
Location
CAKOFY010000376.1:287917-291951[+]

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 0.21 14 6.9 4.0 2 19 233 250 232 255 0.89
2 10 0.075 5.1 8.3 0.3 6 23 264 281 264 281 0.98
3 10 0.0005 0.033 15.1 5.2 1 23 287 310 287 310 0.98
4 10 0.00024 0.016 16.1 0.1 2 23 316 337 315 337 0.96
5 10 0.00027 0.018 15.9 0.2 2 23 347 369 346 369 0.95
6 10 0.0021 0.14 13.1 0.9 3 23 377 397 376 397 0.97
7 10 0.00013 0.0088 16.9 2.5 2 23 406 428 405 428 0.96
8 10 0.78 53 5.1 0.1 1 23 437 460 437 460 0.91
9 10 4.2e-06 0.00029 21.6 0.3 1 23 465 487 465 487 0.97
10 10 1.9e-05 0.0013 19.6 1.7 1 23 493 516 493 516 0.95

Sequence Information

Coding Sequence
ATGGATTGTAAATTGTGTTTGAAAAATGACAGTATTAAAGACGGACACACGAATGAATCCACTGAATGGAAGGAACAAAACATTCAGTCTATTATTGAAAAATATCTGTGGAAAATAGAAAATTTAAACATCTGTTCTTATATATGTAAATCGTGTTGGCAGGAGTTGCACAATTTCCATACATTTTATACAAATATAGAAAAAGCTCATTCAAATTTAAATACTTTAATAAAAACTGAAAATGTTGAAATTTCTGAATTTCCGGACACTAATTCAATAGACAACATAGATAATTCCCAACATGAACCAGAAATTTCATTGGAGAAACAAAAAAATCCACTTGATTTTTGTGAAAAAGATCAAGTGGAAACACTTTGTGATTCAAAGAGGCTTAAACGAAAATGCTCTAACAAAAGACAGAAACGGCAAAACAACAATTGTAAAAAGAGGCGTAAGAAGGAAAAGCTTAATAAGCTAACAAAGGAATCAATAGATGATCTAAATCAAGATGAAGCTGAAGTTAAATTGGAACAAGTTGAAGAAAATGACGCCAAAGAAACTTACTCCATAGGTGACTGTAATGAAGAGATCAGCAGTAGTGAGAATAGTGACGAGGTCACAAATACTAATGATTCAGCTAAAACTCAAATACAAACTGCCAAAAATGATAAATTTATAGCTGACCATTTTGAGTTAAGCTGCAATATATGTAATAAAACTATGGAAAATTTTCACAATTTGAATAAACATTGTAAAGCTGAACACAATGAAAGAGGATACGCCTTTTGCTGCAAGCGAAGGTATTATACTCGTACAGACTTGATAGATCATATTAAATTACATCAAAATCCAGAACAATATAAATGCCAGCATTGTGAGAAGATATTGTCAAGTAATGAATGTTTGAAACAACATATAAAGAAGCTCCATGAATCAAGGAATATAGAGTGTGATATCTGTGGCAAACTTTATGCTACAGAATCAGGTTTAAAAACTCATAAATTATCCCATGAGGCTGAAATGGCAAAGGAAAAACTACCATGTACTCAATGTGATAAGAGTTTCATTTCTAAAAATCTTCTAGACGGTCACATTCTTAAAGTGCATTTAAAAAAATATCATAAAATCTGTGCTCTTTGTGGTATATCCATATCGACTAACTATTGCTTTGAACGCCATATGCTTAAACATGAAGGTAAGCCGTTACCACCAGTATCCTGTAAAATTTGCGGTCGTCGTTTATCCGATGAGAAATGTTTAAAGCGTCACATGGATACTCGTCATCCACCGGAAGGCGTTAAAAAAGAATTTAAATGTCCCATCTGTATGATGACACTGGCCAGCCGTAATGGTGTCCGAATGCATGTTAAGGCTGTTCATGAAAATTACAAATATAATTGTAATTTATGTGAGAAAACTTTCAAAAGACCAGGCCTTTTAAAGGATCACATTGCACAACATACCGGTGAGACATTACATGCTTGTGATTGGTGTTCTAAATCATTCTATTCAAATGACCAGTTAAATGCCCATCGTAAAAGAGAACATCCCATCGAATGGGAAGAGTCGATACGAGAAAAATATTCTGGCAATTTACCAGAGAAATATGTTGCAAAAACTTTGGAAACTAAAGATACGCAACTTCATTATTTAATAAAAAATCAATTTCTTTCCTAA
Protein Sequence
MDCKLCLKNDSIKDGHTNESTEWKEQNIQSIIEKYLWKIENLNICSYICKSCWQELHNFHTFYTNIEKAHSNLNTLIKTENVEISEFPDTNSIDNIDNSQHEPEISLEKQKNPLDFCEKDQVETLCDSKRLKRKCSNKRQKRQNNNCKKRRKKEKLNKLTKESIDDLNQDEAEVKLEQVEENDAKETYSIGDCNEEISSSENSDEVTNTNDSAKTQIQTAKNDKFIADHFELSCNICNKTMENFHNLNKHCKAEHNERGYAFCCKRRYYTRTDLIDHIKLHQNPEQYKCQHCEKILSSNECLKQHIKKLHESRNIECDICGKLYATESGLKTHKLSHEAEMAKEKLPCTQCDKSFISKNLLDGHILKVHLKKYHKICALCGISISTNYCFERHMLKHEGKPLPPVSCKICGRRLSDEKCLKRHMDTRHPPEGVKKEFKCPICMMTLASRNGVRMHVKAVHENYKYNCNLCEKTFKRPGLLKDHIAQHTGETLHACDWCSKSFYSNDQLNAHRKREHPIEWEESIREKYSGNLPEKYVAKTLETKDTQLHYLIKNQFLS

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

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