Basic Information

Gene Symbol
Zbtb41
Assembly
GCA_933228635.1
Location
CAKOFY010000014.1:1724345-1726112[+]

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 0.00026 0.018 16.0 1.2 2 23 231 253 230 253 0.94
2 10 1.6e-05 0.0011 19.8 2.6 1 23 260 283 260 283 0.98
3 10 0.13 9.1 7.5 0.4 1 23 286 311 286 311 0.95
4 10 0.0018 0.12 13.4 3.8 1 23 341 363 341 363 0.96
5 10 0.0012 0.08 13.9 0.4 1 23 369 391 369 391 0.97
6 10 0.0002 0.013 16.4 0.3 1 23 398 421 398 421 0.97
7 10 0.1 7 7.8 3.3 1 17 427 443 427 449 0.78
8 10 3.2e-06 0.00022 22.0 0.1 1 23 455 477 455 477 0.97
9 10 0.00058 0.039 14.9 2.8 1 23 484 506 484 506 0.97
10 10 1.4e-05 0.00092 20.0 1.0 1 23 512 534 512 534 0.96

Sequence Information

Coding Sequence
ATGAGCTCTGTTACCCAAAGAAACCTTCGAGAACTATGCCGTGCCTGCCTGAGAACTTTAAATCGAAATGCAAACGAAAGTAAAAGTTTTGGTGGAAGTGAATGTGATGCTGGATCGTCGACTGGTTTAAATAGTTTATTATTGCCAAATTTGTGTAAATTGTTTATGTTCCTAACTACCTATGATGTAAATAATGAATATGAAGACTTCCCCAAAAGGTTATGTGAGTGGTGCTATAATCGACTTTTGGATTACGATGAATTTCGTAAGTTGGCCGCAAGAAGTACGGAAATGCTATATGAAAGATGGAATTCTGCTGACATGGCCCACAAATCGGTTGAAAAGGAAGAAACATTGTCAAGGCAATTGCTCCAAAACATCAAGCATGAAGACAATTTTGAGGAAAATGATGATGATAAGTTGCTTTTACCAGAATTAGCAAATATGCCATTATACATTAAACCTGAACCAACTTTCGAAGCAATGGAAACCCAGTTCACAATGCCAACGTATTTGGAGGAGGGAGAAGTTGACAGAGATCAAAATTCATATGAATCCTTTGACTCTGACGAAGATACCGATGATGAGTTACTAATACCAGATGACGGAGCAGATATATCCAGTCATTCGATCAATAGCTCGGATGGAAAAACAAATATTTCTAAAAGAGAACGGAGTCGAAAATCGTTGCATTGTAATGAATGCAATAAACAATTCTATAAACAGGTTTATTTGGAAGCACATGTTCGAGGAACTCATATGGGCGAGGAGAAACCATTTCAATGTACAAAATGTTCCAAAGCATTTACACGTTACAATCAACTACTTCTGCATATCAAATCCAAACATATTGAATTCCGTTGTAATTTTGAAAATTGCAATGTCTCTTTTTCAGCTGAAATAAAATTGGATAAGCATCGTCAGTTAGCACATAATTTGTCAGAAGAACCAACGTCACAGGACTACCAAGAAGAAATGGAAGAAGAAGTGGAAAACGACAATGATGAACTAGAAATGGAACATATTTGTTATTTATGCAGGCGAAAATATAGTTCAAAACGCGCTCTTAAGGAGCATATAAAACGACATAAGAAGATCAAAGAGCATGTTTGTAATGAATGTGGTGTAGCCAAAGTAACTAGAACCGAATTAGTTACTCATATGCGAACACATACACCAAATCTGGAGAAGTTTCCCTGCCCTCAGTGTCCTCAAGTTTTTAATCACAAAAATGCTATATCTCGTCACGTAAAGGTAGTTCACGAGGGCCTAAGACGTTTTCAATGCACTTACTGTCCCAAACGTTTCGGCACACGTAATTCTCAAGTTTGTCATGAACGTTTACATACCGGTGAGCGTCCATTCATTTGTGAAATCTGTCAAAAAGGTTTTGTACAACCAGAAGGTCTTAGGTCTCACATGAAAAATCATGACAAAAATTTACGCAAGCATGTGTGTAAATATTGTTCCCAGCGCTTTATAACATTGAAAAATCTATTGGATCATGAACAACGACATTTAAGCGACAAACCTCATATTTGTAATATATGTAATAAAGGCTTTTACAGAGAAGAGGATTTAAAAGTTCATCGCAATATACATTTGGAAGTTTTGTCAGAATCTGTTGATTCCGAAGTTGTTGTGGAGAATGAATTGGACACATTTTGA
Protein Sequence
MSSVTQRNLRELCRACLRTLNRNANESKSFGGSECDAGSSTGLNSLLLPNLCKLFMFLTTYDVNNEYEDFPKRLCEWCYNRLLDYDEFRKLAARSTEMLYERWNSADMAHKSVEKEETLSRQLLQNIKHEDNFEENDDDKLLLPELANMPLYIKPEPTFEAMETQFTMPTYLEEGEVDRDQNSYESFDSDEDTDDELLIPDDGADISSHSINSSDGKTNISKRERSRKSLHCNECNKQFYKQVYLEAHVRGTHMGEEKPFQCTKCSKAFTRYNQLLLHIKSKHIEFRCNFENCNVSFSAEIKLDKHRQLAHNLSEEPTSQDYQEEMEEEVENDNDELEMEHICYLCRRKYSSKRALKEHIKRHKKIKEHVCNECGVAKVTRTELVTHMRTHTPNLEKFPCPQCPQVFNHKNAISRHVKVVHEGLRRFQCTYCPKRFGTRNSQVCHERLHTGERPFICEICQKGFVQPEGLRSHMKNHDKNLRKHVCKYCSQRFITLKNLLDHEQRHLSDKPHICNICNKGFYREEDLKVHRNIHLEVLSESVDSEVVVENELDTF

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

100% Identity
-
90% Identity
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80% Identity
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