Basic Information

Gene Symbol
pita
Assembly
GCA_029955525.1
Location
JARPMR010000005.1:14715628-14740364[-]

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 2 2e+02 4.2 1.9 1 23 196 219 196 219 0.90
2 10 0.0023 0.24 13.4 0.7 2 23 225 246 225 246 0.96
3 10 0.00047 0.047 15.6 0.5 1 23 252 275 252 275 0.94
4 10 0.16 16 7.6 0.2 3 23 283 303 282 303 0.98
5 10 0.00041 0.041 15.8 2.1 1 23 309 332 309 332 0.95
6 10 0.0013 0.13 14.2 1.0 2 23 339 360 338 360 0.96
7 10 1.4e-05 0.0014 20.4 6.9 1 23 366 389 366 389 0.98
8 10 0.033 3.3 9.8 0.1 1 23 405 427 405 427 0.95
9 10 0.012 1.2 11.1 0.0 2 23 433 454 432 454 0.97
10 10 0.00053 0.053 15.4 0.2 1 23 460 483 460 483 0.96

Sequence Information

Coding Sequence
ATGGAAAACAGAAGAGAGACTTTAAGTTTTGTGAAAATCTGTCGCTTTTGCCTCGCACAAAACAGACCTTTAGGAAGTTTGTATGAGAAAAGCAAGTCAAAAAGTACAGTAACACTTCCATTAAAAATCTTATCAAGCGTATCTATTGAGGTACTCCCATCAGATAAAAAGCCTACATACATTTGTGACAGATGCAAGTTCTTTATGAATATATTCTACGAATACAAGCACATAGTACGCCAGGCAGATGAATCCATTCTACAGTATGTACAAAATGGTGCATCATTGGGGACAGTCAACTGGCCTTCGTCTCTTGCtaaaATATACCGTCACATAACTGACTCTGAAACAGTTAAAACAGTAGTTGAGGGTGGAGCAACTATTCAAGTTACATCACATGATATTTCTGACAGTGATGAAGAAGACGGGAACATATACAATGTCAAGATCGGAGATGATGAAGATGCGAAGACTTGTGTTAAAGTTGTTACAAGCAAAGACACCAAAGCTAAAGAGAATTCAAGGGGTAAAGATACGCCAGTTAATCAGGAAATTAAGGAAGAGATTCCCATAGAAAAGGGCTGCTATGCGTGCGACGAGTGTGACTGCACCTATCCCCTGGAGCAACTGCTTCACTTGCACAAGATACAGAAACACCGCACCCGGAGCGAGTCATGTAACCTGTGTGACGCgaaaTTTTTCACAAAATATGATTTAGCAACACATCAGGTCCGACACTCCTTAGACATGCCATTCGAATGTGTAGCGTGCGGTAAAAAGTTTAAACGACTCATTTTACTCAAGCGCCACGAGAAGTTGATACACCCTGATCTACCACAGCTGCTGTGTCAGAACTGCCCAGCCACATTCCTATCTATGGAAGAGTTGAACGCCCATCTAAAGAAGCATGTTCGTGTACAAAAGCATGTTTGTATGCAGTGTGATAAAAAGTTCCATGAAAAGTCAGCACTGCAAAGGCATATAGACGTAGTTCACAAAACAGAGGCAACGTTGTGCTGCGAATACTGTCCGGAGCGCTTTGGGTCGATAACGAAATTGGCGCGACACGTAAGAACGCACGTGGGCGAAAGACCCTACCCGTGCAAGTATTGTGAGAAGAGCTTCACGAAATCTCATCATTATACCAGACATATCCGTGTGAAACATCGCGACCAGAATCGCTCCGGCCCCAGTACAATCAAACAGGAGCAATATCGGTGCGACCAGTGCGAAGACGTGTTCGAGTCGCAAGACGACCTCATATACCACTCCGCGATACACGCCACGCAGAACCTCACGTGTCCGCTGTGTCAAGAGAAGTTTGGCGATGTGGAGGCCGTCACCGCACACATCAAGTCGCATGTTAACGGTGTAGAGTTTATGTGTGACTATTGCGAGCTTATTTTCACGACGCAAGAAAAGCTCGATGCCCATCAAATGAATGCGCACGAAGATGAAATACACAATGAAATGAATGATGAGTCTTCAATGGAAATGGATGCCGAAGACGAAGATGATGATAATGGAATCAACGTAAAAGAAGATGGTGATGATATGATAATCGAAATAAAGAAACCTGATAATTACCTTGTAAATGACATTAAAGAAGAAATCGATGACAAAATTGACAACACAAATTCTGAAGAGAGTGAGAGTGAGGTCACATACACGGAGCTACAGACAGTGGACACGCTCGCCATACTGACGAAGGAGCCACCTGTTAAACCGGCGACGCCTGAAAAGGTGCCGCTGAAACCTGCCGTCACCCCTCCCACCACGGATAACATCAAAATTGTCAACAAAACCTTAGATAATCAGACAGCAAATATATTGCGAAAAGCAGAGGAAATAAAACGCAAGGTGCCTCAACCTCCAGACGCAAATGATGCAGtgattacaaaaaaaattaaaccaatcacaaAAGTGGAGAGCAGTAACAGCGGTGGTGCCAGCGACAAGTCTCTGCGCCTACTAGAAAAGGAACTTCAAGATCTTAAAAgaACCAACAGTCGCAACACAGAGTCAAATAAAGCTTCCTCCAACAAAGTCATAGAAACATCAAAAGGCAAACGACCGCAGTTTCTAACATCTACACCCAAATTAAGAAGCGCCGATGATAGGAAACAACTGATGAACAAACCCCTCTGTGTAGAGAAGAAGCAACCTGAAAAACGTGCTGTAATAACCAAAGAGAATAAAGAGCCAAAAGAAACCAAGGAggttagaaataataatgttaattctaAGGAAGAAAAGGTTaacaaggaaaaagaaaaagataaaGAAACCAATGAAAAAGAAGTTAAGGAAAAGGAAAAAGAGAAAAACACTGAAAAAGATAAAGGCAAGGAAACTCCAAAGAATATAGTCAAAAACGGATCAGCAACAACTGAACGCACCAGTACAGAAGAGCCCGTCCGCCGATCTACGAGACCTGGCAAGATCAAAGACTACGCGAAGATGATTCGCGATCGGACTCAAGAGGGTTCAGACGACGAGACCACCGAGGATGACGAAGATTATCAGGAGCCGGAAAGAAGCACTGacACTCGCAGAGGACGTCGTGCTTCTCAGCCGGCGAAAGTTGTTCCAGTGGCTAAAGCGCCGCCCGCGACCCCGCCGGCGGGCGCGCCGCGGAAGCGTGGCCGGCCGCGGAAGGAGAACAAAGAAGTGCCGCAAAAAGTTAAGAAACCAGAACCTGAAGAAGATGCACAAGAAGCCAACGCAACAATTTCAGAGAAGGCAGAAAAATCTAACCTCAATGACACCAGTAGTGTGATGGACAGTGATCAGAGTATGAACAAAACTCCGGAACCAACCAATAATCCTCCTTCTGATGTACTGGTCTCGCCTACAGGACAAACGTTAAAAAAGGTACCAGTTCGAGAGCTACCGCCCGGAATTAAAGCAATGCCCTTACCAGCTAATGCTCGACCGTTGCCCGCCGGGGAGCTCTGTCAAATGCAAATAGGGAAGAAAGTTGTCAAAGTGCAGAAAATAGTCATGACAAAAGCGGAAGTTGAAGCGATGGCCAAGAAAGGTCTGGTTGAAATGAAGGATGGCACAATGGTTTTAAAGCAAGGTATCAAACTTCCCACGGCCACAGATGCTTCCACAGTTAAAACCACGCTAATGGGCGATGGAGAAGCTGCGAAAGAATCTACCAAAAAAGAAAAAGCAGCACCAACTAGATGCGACCTTGGTGAtgaatcataa
Protein Sequence
MENRRETLSFVKICRFCLAQNRPLGSLYEKSKSKSTVTLPLKILSSVSIEVLPSDKKPTYICDRCKFFMNIFYEYKHIVRQADESILQYVQNGASLGTVNWPSSLAKIYRHITDSETVKTVVEGGATIQVTSHDISDSDEEDGNIYNVKIGDDEDAKTCVKVVTSKDTKAKENSRGKDTPVNQEIKEEIPIEKGCYACDECDCTYPLEQLLHLHKIQKHRTRSESCNLCDAKFFTKYDLATHQVRHSLDMPFECVACGKKFKRLILLKRHEKLIHPDLPQLLCQNCPATFLSMEELNAHLKKHVRVQKHVCMQCDKKFHEKSALQRHIDVVHKTEATLCCEYCPERFGSITKLARHVRTHVGERPYPCKYCEKSFTKSHHYTRHIRVKHRDQNRSGPSTIKQEQYRCDQCEDVFESQDDLIYHSAIHATQNLTCPLCQEKFGDVEAVTAHIKSHVNGVEFMCDYCELIFTTQEKLDAHQMNAHEDEIHNEMNDESSMEMDAEDEDDDNGINVKEDGDDMIIEIKKPDNYLVNDIKEEIDDKIDNTNSEESESEVTYTELQTVDTLAILTKEPPVKPATPEKVPLKPAVTPPTTDNIKIVNKTLDNQTANILRKAEEIKRKVPQPPDANDAVITKKIKPITKVESSNSGGASDKSLRLLEKELQDLKRTNSRNTESNKASSNKVIETSKGKRPQFLTSTPKLRSADDRKQLMNKPLCVEKKQPEKRAVITKENKEPKETKEVRNNNVNSKEEKVNKEKEKDKETNEKEVKEKEKEKNTEKDKGKETPKNIVKNGSATTERTSTEEPVRRSTRPGKIKDYAKMIRDRTQEGSDDETTEDDEDYQEPERSTDTRRGRRASQPAKVVPVAKAPPATPPAGAPRKRGRPRKENKEVPQKVKKPEPEEDAQEANATISEKAEKSNLNDTSSVMDSDQSMNKTPEPTNNPPSDVLVSPTGQTLKKVPVRELPPGIKAMPLPANARPLPAGELCQMQIGKKVVKVQKIVMTKAEVEAMAKKGLVEMKDGTMVLKQGIKLPTATDASTVKTTLMGDGEAAKESTKKEKAAPTRCDLGDES

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

90% Identity
-
80% Identity
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