Basic Information

Gene Symbol
Ppcdc
Assembly
GCA_905147345.1
Location
LR990353.1:4027278-4032316[+]

Transcription Factor Domain

TF Family
HTH
Domain
HTH_psq domain
PFAM
PF05225
TF Group
Helix-turn-helix
Description
This DNA-binding motif is found in four copies in the pipsqueak protein of Drosophila melanogaster [1]. In pipsqueak this domain binds to GAGA sequence [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 1 3.8e-11 1.3e-08 36.2 0.0 4 39 127 162 124 168 0.86

Sequence Information

Coding Sequence
atggATAAACGATCTTGCAAACTGTTGATTGCAGCGACAGGTAGCGTAGCTGCCTTAAAAATACCGATTCTAATAAAATCTCTATTAGAAATACCCGAGGATGAATTAACTTATGTTTTCGAGGTGCACCTTATAGTCACGGAGCATGCAAAGCATTTCTTCAAAATGTCGGAATTGCCGGCAGATGTGAAGATTTATGACGATAGCTTGGAGTGGCAAGCCTGGAAGCAAAGGGGGGATCCTGTGCTGCATATAGAACTCGGGAAGATGGCTGACATCATGGTGATAGCTCCTATGGACGCCAACACTTTGGCGAAAATGTCACAGATTACCATGGATCACAAAAAGAAGTACAATAGGTTTCAATACAGTCAAAAAGCACTTGAAGCAGCTCTTAAGTCAATTGCTAATGGAGAACTAAGTATCAATAAAGCAACTAATGTGTACAAGATACCAAAATCGActttacataataaaatcacAAACAAGGTACCTTTGCAAAGAAAAATGGGCCCTCAGTCCGAGCTTACTGTAGATGAAGAAGCTAAGATTTCTGACTGGATTATAAATAAAGCTAAATTAGGTTTTCCAATGCACCCAGAAGAAGTTTTCGATACTGTTGAAAATTTTATGACTACTAATAATAGGAAAAATAAGTTTATCGGGAATAGACCAGGAAAAAAGTGGCTTAGTTTATTCTTAAAAAGGCATCCTGAGATTACAAAAAGGAATGCGGAGATTATATCCAAAGGCAGAGCCGCAGTTACTGAACAAGCTATCAGAGCTTGGTTCAAGGAACTCGAAGAGTTTTTAACAGAAGAACAAGCATTGGATATAAAAGACGACCCCAGTCGCATATTTAATGCCGACGAAACAGGTGTAATGACCTGCCCGAAAACTGGAATAATATTGGGGCCCAAAAATTACAGAAACACTTACGAGATTTCGGGTGGGAAAGAAAAAGAATCACTTACAGTTCTATACGGAGTTGACTATTCAAAATGCATTAGCACTCGAAGAGAGGAAATTAATGGGCAAATTGCTCTTAATCGTGATAACCGAATTCTAGAGGAGAGAAAGGACGATATGAGGAGCactattaaaataattgaaacagaAGTAGGGCAAAGTATCAGAAACGAATTCGTCCAGGCTTACTTGACCAAGAATACGCATCAGCATGCATATTTTTCACTCTGGTTCAACTGTCGCAAAGAACTCGATGGTGTTAGAGATGTGTCTAGAGGAGCATCAATGGAGGCACCAGATGCCAACAATTCCTCCCAAAATGCTCCTCTCGATTTATCCAATACGTCGACTTCTATACTTCAATCATTATCTAACACACAATTATTGAATGGAGACATACAACCCGTCATTAATTCCGAAGCAGACCCGTGCTCCAGCACATTTCATGACCAAGATTTAACAAATTTTATCGTTCCTAGtctgacggattttaataatatttctaattgTTCAGAATATCTTAAAGACTATACGGAAAATCTAAATGAAACCACCGAAATAGTAGAGTTTATAATTAATAGTGAATTGAATCCACCAACCGTAATTCCTCTTCCATGGTATAATACTCCACAAGCTGGTACATCGTTAGACATTAGAACTGAATTGTTTCTAAGCGATGGACCTTCTACATCTTCTActcctatattatttattgaaagtaATCCAGAAATTGAAAACAATAGTTCTATGAATGTGTATACAATCACGGAGGACGATATTCAGCCAGTTGTTAACTCAAATAAAATCGACAGCTTTCTGGGGTATCCAAAAATCGctttggaaaaaaaagcagCCAAAGTAAAAAAACCTAATCCCATGCCGTTTGGATTAACAGGCCAACGATACAAAGCGTATGTAGAAAAGATACAAGAAGAAAAGAGATCAAAAGAAGAAGAcaaaatcaatgaaaaaaaaaggaaattagaggcaaaagaaaatgaaaaacgaAGAAAActggaagaaaaagaaaacaaaaagaagGATAGAGAAGAAAAGCTTTCACAAAAACGCAAAGAACAGAACAAAACTGAGAAACACTTACAAACACCTAGTCCGGTAAATAAAGATAAACAAAATGACGAAATTGGAATGAATGACTTACCAGTGTCAACTAAGGATCTTCACGGAAAATATGTTATGGCCAAATTCAAAACTGATAAAAGAATACGTCACTATGTAGGCAAAGTCCTTATGGTAAACGATCAAGAAAAGAAATGTAAGATAGATTTTCTAAGAAAAAAAGCGGGCCTATGTGACAACCTGCTAACCTGCACAACCAGAGCTTGGGACATTTCAAAACCGCTAATTTTCTGTCCTGCAATGAACACGAGGATGTGGGAGCACCCCATCACATCACAGCATGTAGCCACTCTCAAAAGCTGGGGTCACATAGAAATACCACCAATTAGTAAGAAACTTATGTGTGGTGACACCGGTATCGGAGCAATGGCTGAAATTGAAACTATTGtggaaaaaatcaaaagtattgCCAACGAAAAATTTAATGTCACTTTTGAttga
Protein Sequence
MDKRSCKLLIAATGSVAALKIPILIKSLLEIPEDELTYVFEVHLIVTEHAKHFFKMSELPADVKIYDDSLEWQAWKQRGDPVLHIELGKMADIMVIAPMDANTLAKMSQITMDHKKKYNRFQYSQKALEAALKSIANGELSINKATNVYKIPKSTLHNKITNKVPLQRKMGPQSELTVDEEAKISDWIINKAKLGFPMHPEEVFDTVENFMTTNNRKNKFIGNRPGKKWLSLFLKRHPEITKRNAEIISKGRAAVTEQAIRAWFKELEEFLTEEQALDIKDDPSRIFNADETGVMTCPKTGIILGPKNYRNTYEISGGKEKESLTVLYGVDYSKCISTRREEINGQIALNRDNRILEERKDDMRSTIKIIETEVGQSIRNEFVQAYLTKNTHQHAYFSLWFNCRKELDGVRDVSRGASMEAPDANNSSQNAPLDLSNTSTSILQSLSNTQLLNGDIQPVINSEADPCSSTFHDQDLTNFIVPSLTDFNNISNCSEYLKDYTENLNETTEIVEFIINSELNPPTVIPLPWYNTPQAGTSLDIRTELFLSDGPSTSSTPILFIESNPEIENNSSMNVYTITEDDIQPVVNSNKIDSFLGYPKIALEKKAAKVKKPNPMPFGLTGQRYKAYVEKIQEEKRSKEEDKINEKKRKLEAKENEKRRKLEEKENKKKDREEKLSQKRKEQNKTEKHLQTPSPVNKDKQNDEIGMNDLPVSTKDLHGKYVMAKFKTDKRIRHYVGKVLMVNDQEKKCKIDFLRKKAGLCDNLLTCTTRAWDISKPLIFCPAMNTRMWEHPITSQHVATLKSWGHIEIPPISKKLMCGDTGIGAMAEIETIVEKIKSIANEKFNVTFD*

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

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