Basic Information

Gene Symbol
zfy1
Assembly
GCA_947563765.1
Location
OX387419.1:3395024-3400609[+]

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 0.019 1.2 10.0 0.3 1 23 280 302 280 302 0.93
2 9 1.6 1.1e+02 4.0 0.9 3 23 308 328 307 328 0.93
3 9 0.013 0.82 10.6 3.5 2 23 333 355 332 355 0.97
4 9 2.1e-05 0.0013 19.4 0.5 3 23 360 381 358 381 0.96
5 9 0.0016 0.1 13.5 5.9 1 23 386 408 386 409 0.96
6 9 2.7e-05 0.0018 19.0 0.0 2 23 455 476 454 476 0.96
7 9 1.1e-06 7.4e-05 23.3 3.1 1 23 482 505 482 505 0.98
8 9 4e-05 0.0026 18.5 1.5 3 23 516 536 515 536 0.98
9 9 0.00048 0.031 15.1 0.7 1 23 542 565 542 565 0.95

Sequence Information

Coding Sequence
ATGGACGAAGACTTTGAAATGAGTTCAAAACCGTTGAACAGCGTTATCTGCTACGGTTGCTTGAGCTCCGACAGAAAACTTGATTTTTTGAAAGATTATGAGATATATCAAAAACTATGCAGTTTTGGTTCGAAAATGCAATCAAATATATTACTCTGTTGGGAGTGCTTAGCCTTTCTAAGAAAAGCTAAAATATTTGTTGAAAGAGTGCAAAAAGCTCAGACAGTACTTAACTATGAATGCTACACAAATATCTTGCAAAGTCGTCCAGAAGAATCTTTATCAAATTTAGGAATCTGTAATGTAAGTCAAATAGATATATCTCATTATACAAATGACACTAAAGATGAGGAAGAATTGAAAATCAAAATCGAACCTTGTGACACAGAATATAAAGTTGAAACAATAAATACTGATGCATTATACGAAGAAGATATAAAAGAGGATCTAGATTATACGGCAGATGTAAATTATACGAGCGATAATTATACAAACGAGAATTATGAAAATGATAATTACACAAGTGATAATCAAGTTGTACAACCAGTAATAAAGAAAAAGAAAAAAATTAGAAAATTAAAAAATGCAAAAGAAAAAGGAAAAACAAAACGTAGTACACGATACGAGCTAATTTCTAATGATGTCGAAACGAAAATAAGAAAAGTAAAAATTTTAGATCAGAGAGAAGTTGAGTTATTAATAGAAAAAGAAAAGAAATATATAGTTAAAAATGATGTTAAATTAAGTGATATGTGTATGTTATGTCATTTTAATGTGAAAAAACCTTTAATAGATAAGCACATAAAGAAACATCATTCCAATCCATCAGATGCGAAATACGTATGTGACATATGCTCATGGCACACTGACAACATGAGCTCTTTAAAGTACCATGTTGTCGCACATTTTTATAAGAGAATATGTACCGTGTGCAACTATGAGTGCTACAGTAATCAATTCGCGAAATGGCACATCACAGGGCATCAGACAGCAACGAAATGTCTTGAATGCCATGGCACTTTTAGGAACGTCAGAGAGTTTTACAAACACTATAGAACATTGCATGAACAGTCTATATGTGATTATTGTAATGAATCATATAATACTAAATGGTTATTGGAAAAACATATAAAGAAATACCACACGAAAAATGGGTTCAAATGTGAAGTGTGTAACAGAAAGTTTGCATCGGCGAAGTACCTAGATCATCATTTCCGATATCATCATAAGATAAACAAAGAGTGCTCCTTTTGCGTGCCTTGCAACAGACAATTTGACACGTTCTTGAAGTATAAGATGCATTTAACTAACTCTAACATACATGCGGGGGAGAGGAAATCCGGGGAGAGAAACAAGAAGTTGCCGTGTCCGGAATGCGGCAAAGAATTCGCTGGTAGTTACTCTCTGAACCTGCACTTGACTGTCCATACTGGAGTGTCGCAGTTTCAATGTGATCAGTGCGGCAAGTATTTCTGCAGATCGTCCGGACTTAAGACCCATATAAAATCGATACATGAAAAAATCCGCCTACCCAAGGACAAAATTTGCACCATCTGTGGGAGGGGCTTTTCGACTAACCGCATATTGACCCATCATATCAGAACCCATACAGGGGAGAAACCTTACAAATGTGAGTATTGCGATGCAGCGTTTGCGCAGAGATGTGCAATGAGGACACACGTCAAAGCTATACATCTTAAATTGAAGAGGAAATAG
Protein Sequence
MDEDFEMSSKPLNSVICYGCLSSDRKLDFLKDYEIYQKLCSFGSKMQSNILLCWECLAFLRKAKIFVERVQKAQTVLNYECYTNILQSRPEESLSNLGICNVSQIDISHYTNDTKDEEELKIKIEPCDTEYKVETINTDALYEEDIKEDLDYTADVNYTSDNYTNENYENDNYTSDNQVVQPVIKKKKKIRKLKNAKEKGKTKRSTRYELISNDVETKIRKVKILDQREVELLIEKEKKYIVKNDVKLSDMCMLCHFNVKKPLIDKHIKKHHSNPSDAKYVCDICSWHTDNMSSLKYHVVAHFYKRICTVCNYECYSNQFAKWHITGHQTATKCLECHGTFRNVREFYKHYRTLHEQSICDYCNESYNTKWLLEKHIKKYHTKNGFKCEVCNRKFASAKYLDHHFRYHHKINKECSFCVPCNRQFDTFLKYKMHLTNSNIHAGERKSGERNKKLPCPECGKEFAGSYSLNLHLTVHTGVSQFQCDQCGKYFCRSSGLKTHIKSIHEKIRLPKDKICTICGRGFSTNRILTHHIRTHTGEKPYKCEYCDAAFAQRCAMRTHVKAIHLKLKRK

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

100% Identity
-
90% Identity
-
80% Identity
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