Basic Information

Insect
Eumaeus atala
Gene Symbol
-
Assembly
GCA_017140195.1
Location
JAOYMN010052278.1:13580-17638[+]

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 6 0.0016 0.14 13.0 4.0 1 23 270 292 270 292 0.97
2 6 0.0019 0.16 12.8 0.4 2 23 305 326 304 326 0.89
3 6 0.044 3.9 8.5 4.6 4 23 392 415 387 415 0.87
4 6 0.00044 0.039 14.8 0.5 5 23 453 471 452 471 0.95
5 6 3.2e-05 0.0028 18.4 0.6 1 23 475 498 475 498 0.96
6 6 0.31 27 5.8 0.2 1 23 501 523 501 523 0.92

Sequence Information

Coding Sequence
ATGGAAACCCTCGCGGAAACGGACGTTCTGTACCCAGTGATTTTCATTCCAAAAAATTGTACAAACCTCCAGACGGAATGCGGGGCCACAGATAACGTTTTTATCGATCTGAACATAACATCGTTGGACACTGAAGGCAACGAGATGAGCATTTACAACGGCTTTTGCAATGTCAAACTTATAGACGGCTACGATGTAAACGTACACGAGATAGACGCGTTAAATGAAACATACGAGAACATATCGCCAATAGTCGTAACGGAGGCCAATCAGGTGCCGAATTCCTCGTACAACCAGTCGCAGGTGTGGATAGACCCCGCCAGAAGTCCGTACGTTTATAATAACTACGAGGGCGTTGGGCAGGAGCGCTATTCAGTCTACAACTCGAACGCCCACATTACTGTAGAACAGCACAACACCTACATCACCCAAAATGTGTATAACTATAAAGAGAACGACTACAATGAGTTTGAACATAAGAAGTTCAGGAAAATACAGACTGCGGAGTTGAACCATACCGTGGATCAATTGTACAAGGATGACGAGTACGAGTGTGGTGTACTTCTGTCCCAGATATCAGAGGATATTGAGAAAGAGAAGATGGGTGATAATGGGGCGCTAAAGCAGCTGATGTCTTCTGATATCCAGTCCGTTTCGAAGCAGCAGAAGACTATATTGTATCTTGGTAATGACTCACAGTACGGACAAACCATCCAGAATATTGCCATCAATGATCCGCTAGTGGAATGTGATGATAAGGTCCAGGAGGAAAGTGTTGAAAGCGGAAGACGAAGCAACAAGAAAAGATATCAATGCGATAAATGCAAGCAGATCTTCTACCATCTGTCCACCTTCAAGCAGCATGTAGTGAGCCACCGGCACAAGCTGCCCGTGTGTATAGACGAGAGACTGAGCTGTGGGGAGTGCGGCAAAAGGTTCCGCAGCCGGGAGAAGTTCGACCTGCACGGCTTGGGACATGGCGACCCGGACCTCGAATGTGACAGCCGGGGGAATTTCGATCTGCAACGCCTGGGGCTCGGAGACCCGGACCTCGAGTGCGACAGGTTTGTTTATAGTACTGGCAACTGCCAGCAGACCTGGACAATAGACAGAGCAGCAGGAACTGCGGCAAAAGGTTCCACAGCCGTGAGAAGTTCAACTTGCACCGCCTGCGACACAAGCAGCAGGGACTGCGGCAAAAGGTTCCACAGCCGGGAGAAGTTCAACTTGCACCGCCTGCGACACATGATCCGGACCATGAGTGCGACAGGTTTGTCTATTAGTACAGCCCACCTCACGAGAGGCTCACAGTGGACAGTGCTCACCGCACTCCCAGGGTCCCGCAGCCAGGAGAAGTTGTGCAAAAAGGTGTTCGCCTCGAAGTTCACGCTTCGCGCCCACCTCAAAATCCATAGTCGGAAGTACTGCTGCAGCAATTGCCCCAAGTCGTACACCAGCGCCGAGGACCTGGCCACTCACCTCGCGAAGATCCACTTTATCTTCGTCTGTGAACAGTGTGACTTCACCTCGAGCAGCTACTTAGAACTGGGTCTACACAAGGACATCCATAAAATGAACAGTGATACTGAGTCGGCGGTCTCCGTACAGTCCAGCGGCTCCACTGAGGGTATATCAGAGAGCGAGGAGTTGAGCAAACACGAACAGATCAGACAAGCGGACTCTGTCATTGCCAAGGTCATCAACAACGAGATCTTCCTCCTGCACGCGAAGAAGGCGAGAAAGCACAGGAAATACAACAAGGTGGATTTTAGTTGTTTTAGTTTGAGGAGACAAAAGAGCATTTAG
Protein Sequence
METLAETDVLYPVIFIPKNCTNLQTECGATDNVFIDLNITSLDTEGNEMSIYNGFCNVKLIDGYDVNVHEIDALNETYENISPIVVTEANQVPNSSYNQSQVWIDPARSPYVYNNYEGVGQERYSVYNSNAHITVEQHNTYITQNVYNYKENDYNEFEHKKFRKIQTAELNHTVDQLYKDDEYECGVLLSQISEDIEKEKMGDNGALKQLMSSDIQSVSKQQKTILYLGNDSQYGQTIQNIAINDPLVECDDKVQEESVESGRRSNKKRYQCDKCKQIFYHLSTFKQHVVSHRHKLPVCIDERLSCGECGKRFRSREKFDLHGLGHGDPDLECDSRGNFDLQRLGLGDPDLECDRFVYSTGNCQQTWTIDRAAGTAAKGSTAVRSSTCTACDTSSRDCGKRFHSREKFNLHRLRHMIRTMSATGLSISTAHLTRGSQWTVLTALPGSRSQEKLCKKVFASKFTLRAHLKIHSRKYCCSNCPKSYTSAEDLATHLAKIHFIFVCEQCDFTSSSYLELGLHKDIHKMNSDTESAVSVQSSGSTEGISESEELSKHEQIRQADSVIAKVINNEIFLLHAKKARKHRKYNKVDFSCFSLRRQKSI

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

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