Basic Information

Insect
Automeris io
Gene Symbol
pita
Assembly
GCA_036320925.1
Location
JAUDJH010000037.1:333114-353107[+]

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 0.19 14 7.0 0.6 3 23 217 238 215 238 0.93
2 10 0.0018 0.14 13.4 2.0 3 23 245 265 244 265 0.97
3 10 0.00013 0.01 16.9 2.4 1 23 271 294 271 294 0.96
4 10 0.072 5.5 8.3 0.1 3 23 302 322 301 322 0.98
5 10 1.7e-05 0.0013 19.7 0.4 1 22 330 351 330 353 0.90
6 10 0.0083 0.63 11.3 1.1 1 23 359 381 359 381 0.99
7 10 0.00011 0.0086 17.2 8.1 1 23 387 410 387 410 0.98
8 10 0.0044 0.34 12.2 0.2 1 23 428 450 428 450 0.95
9 10 0.011 0.85 10.9 0.0 2 23 456 477 455 477 0.96
10 10 0.00018 0.013 16.6 0.2 1 23 483 506 483 506 0.97

Sequence Information

Coding Sequence
aTGGAATCGAGAAAAGAAACATTAAGCGAGCTAAAGCAGTGTCGTTTCTGTCTATCTCAGGGTGAAAATCTAACAAGCCTATACAAGAGAAACAGAGTCATCAAAAATGCAGCATCTCTACcgttaaaaatattgtcttgTGTTTCTGTTGAGATATATCCATCAGATAAGATGCCACGATTCATATGCAGTCGGTGCAAATTTTTCAtggatatattttatgaatttaaaaacatttgtcGACAAgctgatgaaaatatattgCATTATATTGAAAATGGAAACCCTCTGGGATCAATATCATGGCCTACTTCACTCATAAAGattttccGAGCACAATCCAAGCAACCTGAAGTAGCTGTAATGAAGGCAGTAGTGGAAAGTGGTGCTACAGTTCAGGTAACCACACAAGATGTCTCGGATACTGACATGGAAGATgatgaaaatgtttataatattaagATAAGTGATGGATCTGATGATGGAACAAAAAGTGCTCGCATCAAGGTTATCACTGGGAGTGATAAAGAAGATTTGacaaaaacaaaatctaaaAGATTAAGAAAAGTGATCAGATGTAATGCAGATTCGCAAGAAAGCGACAAGTCGCCGGGCAAGACAAATGAAATTGATGAGGGATGTTGGGCCTGCGATGAATGTGACTGTACCTATCCATTGCAACAACTATTGGAGCTTCATAAGATGCAAAAACATAGATTCAGGAACGCTCATTGCAACCAGTGCGATGCtaAATTTTTCACGAAATATGACCTGGCGATACACCAGTTAAGACACTCAAGCGAAATGCTTTACCAATGTGTTATTTGTGAAAAGAGATTCAAACGGCATATAATGCTAAAGCGACACGAAAAGCTCGTACACTCAGATTTACCTCAGCGTTTATGTCTGAAATGTCCAGCAAGTTTTCTCACTTTGGAGGAACTAGAAGCACACCAACAAAAGCACGTGCGTTTTCAACCTAAACCGTATATTTGCACCATATGTGATAAAAAATTTCCAGAGAAGTCAAGCCTGCAAAGACACAAAGTTTTGGTGCACGAACAAAAATCTACATTCAAATGCGAATACTGCCCAGAACGACATGCGACAGTATCGAAATTGGCTAGACACGTCCGTTCACATGCCGGTGACCGCTCTTATCCTTGCAAATATTGCAATAAGTCGTTCATGAAATCTCATCACTATACAAGGCATTTGCGCATGAAACATCGAGAAATAGTTAGATCACGACGCGGCCCATTCGGCGAACAGGAGCAACAGTTCAGGTGCGACCAGTGCGAAGACTCATTCAGCACCCAAGACGAATTGATATACCACTCCGCTATACACGCCACTCAAAACCTCATTTGTCCACTGTGCCAGGAGAAATTCGGTGACGTCGACGCTGTTACAGCTCACATAAAATCTCACGTTAACGGAACCGAATTTATGTGTGATTATTGTGAATTGATATTTACAACGAAGGAAAAACTTGATAATCACATTATAACTGCGCACGAAGATGAGCTACGTAATGAGGAAGTGGATCTAGAATCATCAATGGATATGGATGGAGATGACGACGAGGAAGATACTGCAATCAATGttacAGAAGAAAATGGGGAAATGattgttcaaataaaaaaacctaacgAATTCacgATTTCAAATTATAAAGGGGAAGTAGGGGATAGAGCGGAGATGACAAACTCTGAAGAGAGCGAACCTGAAACTTCATACGCAGATATGATAACTGTGGAGCCAACGGATATTGTAAAGAAAGAAACAGAGTCATCCGACTTGACTATCACAAAGCTACCAACTAGCACCGTTGTGAGTAAACGGATGATTAATAATGTCAACAAATCTGAAAAGAACGAAACTCAGGCGGCGAGTATCGTTAAAAAAGTGGATGAAGTGAAACGAAAAGTTGTGGACCAAAAAGCACCTGATCCaactttaaacaaaaaagagaaATCAATGAAAACGGAAAATAATAACACTGGCGCTAGTGAGAAATCTTTACGCTTGTTAGAAAAAGAATTGCAGGATCTAAAACGGACCAATTCACGGAGTGATTTAGTGAAACCCCCGAGTAAAAACACAGACACTGTTAAAAGTCGGAGACAGCCAATTCACACTTCCACACCAAAAATAAGATCAACAGGAGGGAAGGAGATACAGCAGAATAAGCCAActacaatagaaaaaaaagcaCCTGAACGTCGTTTGATCACAAAGGAAAACAAGGAACCTAAAGACGTTAAAGAATTAAAGAACAATAGTATAAAGGATGATAAAGAGAAAGAGTCGACAGAAAAAGAAATGaACGTCATCAAAAATGGATCCGGTGACAAAAATGGAAAAGAAGAGAGAATTCGGCGATCAACACGGCCCTCTAAAATAAAGGACTATGCAAAAATGATCCGAGATAGTTCGCAAGAGTCCAGTGAAACAGACGAGGACTCCGACGAACAAGACAATGAAGATGCGGACGAGGAATTCAAAGAAATTGAAAAATTACCCGAGCCGCGTCTAAGGCAACGGAGGGCCAGTGTAAAGCAGCAACCAGCTCCGAAGCCGGCGACAGTGACCACCGTGCCCCGCAAACGTGGCAGACCAAGAAAAGATGCAAATCAACAAGTGCCAAACAAAGTGAAAAAAGAAGATAATGAGGTGAAATCTACAAAGATGGATCAAGATACCATCAATACCAAAGATTCTAATATAGCTAGTGAACAAGAAAGTGAAAACAAAGGAAGCGGCCGAGAAACTACTAATGCGGACACAAGCATGTCAACAGGTGATGGTTTAACGTCTTCAGTTCCCACTCTAAAGAAAGTACCTATCAAAGCCCTTCCTCCTGGCGTGAAACCAATGCCTTTGCCGGCTAATGCACGATTGGGGAGCGGTGAAGTATGTGAAATGCAAATTGGAAAGAAAATGGTAAAAGTGCAGAAAATTGTAATGACCAAAGCAGAAGTCGAAGCGATGGCGAAGAAGGGTCTTGTCGAATTGAAGGACGGTACGATGGTTTTGAAACAGGGTATAAGTCCCGCTGCTGTGAAATCTACTCTAGTCAGCGAAGCAGAAAGTGAAAAGGAATCTCCTATTAAGAAAACTAAAGCTACTCCCACACGGTGCGACTTAGGAGATGATGTGTGA
Protein Sequence
MESRKETLSELKQCRFCLSQGENLTSLYKRNRVIKNAASLPLKILSCVSVEIYPSDKMPRFICSRCKFFMDIFYEFKNICRQADENILHYIENGNPLGSISWPTSLIKIFRAQSKQPEVAVMKAVVESGATVQVTTQDVSDTDMEDDENVYNIKISDGSDDGTKSARIKVITGSDKEDLTKTKSKRLRKVIRCNADSQESDKSPGKTNEIDEGCWACDECDCTYPLQQLLELHKMQKHRFRNAHCNQCDAKFFTKYDLAIHQLRHSSEMLYQCVICEKRFKRHIMLKRHEKLVHSDLPQRLCLKCPASFLTLEELEAHQQKHVRFQPKPYICTICDKKFPEKSSLQRHKVLVHEQKSTFKCEYCPERHATVSKLARHVRSHAGDRSYPCKYCNKSFMKSHHYTRHLRMKHREIVRSRRGPFGEQEQQFRCDQCEDSFSTQDELIYHSAIHATQNLICPLCQEKFGDVDAVTAHIKSHVNGTEFMCDYCELIFTTKEKLDNHIITAHEDELRNEEVDLESSMDMDGDDDEEDTAINVTEENGEMIVQIKKPNEFTISNYKGEVGDRAEMTNSEESEPETSYADMITVEPTDIVKKETESSDLTITKLPTSTVVSKRMINNVNKSEKNETQAASIVKKVDEVKRKVVDQKAPDPTLNKKEKSMKTENNNTGASEKSLRLLEKELQDLKRTNSRSDLVKPPSKNTDTVKSRRQPIHTSTPKIRSTGGKEIQQNKPTTIEKKAPERRLITKENKEPKDVKELKNNSIKDDKEKESTEKEMNVIKNGSGDKNGKEERIRRSTRPSKIKDYAKMIRDSSQESSETDEDSDEQDNEDADEEFKEIEKLPEPRLRQRRASVKQQPAPKPATVTTVPRKRGRPRKDANQQVPNKVKKEDNEVKSTKMDQDTINTKDSNIASEQESENKGSGRETTNADTSMSTGDGLTSSVPTLKKVPIKALPPGVKPMPLPANARLGSGEVCEMQIGKKMVKVQKIVMTKAEVEAMAKKGLVELKDGTMVLKQGISPAAVKSTLVSEAESEKESPIKKTKATPTRCDLGDDV

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

100% Identity
-
90% Identity
-
80% Identity
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