Basic Information

Gene Symbol
-
Assembly
GCA_963971165.1
Location
OZ020193.1:26184936-26190383[+]

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 2 4.5e-09 5.2e-07 31.7 0.0 5 37 1 34 1 38 0.90
2 2 4.2 4.9e+02 3.0 0.0 28 41 492 505 492 509 0.78

Sequence Information

Coding Sequence
ATGAGGAACGCCATAAAATGTGTGCTACGAGGTACGATATCCGTGAGAAGAGCTGCAAGTCAGTTTAATATTCCCAAATCCACACTGCAAGACAATGTTTCACAGGCACGCCAGAAGGGAATAAACAACATTGACGACTCCGGAAACAAGAGCGAATCAAATCATGATGACGAAAGAAGCAAATATGCCACAAGAAAGGTTTTTTCTACAAAAGAAGAAACCGAATTGGAAGAATATATGAAGAACTCTTCGACGATGTTTTATGGATTAACTTATAAGACAGCTAGAATATTGGCCTACGAATTTGCATCTAGTGTAGATAAAAAGTATCCAAAAACTTGGGATGAGAGTAAAATGGCCGGAGTGGAGTGGATGCGTTCGTTTATGAGTCGGCATCCTCGTCTTTCTTATCGCAAGCCAGAGAATACAAGCTTTGCACGAGCTTCCTGCTTCAACAAATCAAACGTGGatctcttttttaaaaattatttggagaTACAAACTAAATATCATTTTCCGCCGCATAAAATATGGAACACAGATGAAACTGGTGTAACAACCGTTCTACAAGCTCCAAAAGTAATAGCTGAGACTGATGGCGCCAAAAGCGTAGGTCAATGTGTTTCAGGAGAAAGAGGTTCTCTGGTTACAATGTGCGGAACAATTTCGGCGTCCGGAAATACAATTCCTCCATTATATGTATTCCCAAGAGTGAGAATGAAAGATCAGCTTATGACTGGTGCTGTTCCTGGTGCGATTGGATATGCTGAAAAGTCCGGTTGGATGActtcaaaattgtttataaaactaTTAGAGCATATTCAAAAACATACTGGTGCTAGTCCTACTAGCCAGATTCTCTTGTTGTTAGATAATCATGAGACCCATACAAGCCTTGAAGCAATTAATTACTGTCGGGAAAATGCAAATCCCGGAAAGCCAATTACTATTTTTGATATTGCTAGATTAACATCTGATCCATTTCTACAAAGTTTAACcccaaagaatattttaaagagTTTCGAAAGCACCGGAATATGGCCCACTAATTCTATGATATTCAGTGATGACGATTTTATGGGAGCATATGCAACTGATCGCCCAAATCCTGAAAATAATGCCGATACTCCTGACAGGTCTTTGGTCATTAATGACACATCTATTACGACACCAGCAGTATTAAATACTCCCACCGTTGACAACGAAAACGAAAGTGCGGAAAAGATGCAAACAAAAAATCGCGGTTGGGCAAGTCGAGAATCTATACTAGTACGCCCGAGAGGTGGCTTTGTGGAATATGAGGATATTGATGATGGAAATCTTATATTAGTAAATGAAAAGGAACCCAAAATTAACGTATTAAAAATTGACGTCAATCCTCCGAAAAACCCCATCCAAGCTAACATTGTTCCTGCAGATGAATGCGATGAAGCagaattagaaataaataatcAGAACGAGTCTAAATCTAGAGTTCCTTATTCTACTTTAAAAGATCGGCTTAAAAGTAATAACTCTTCTGCGGCGCGACTTGGACGTCATGCCACATTTTCTCCTGAACAGGAAGTACAACTTGCAGATCGATGCATTTATTTAGCAAACATGTTTTATGGTCTTACAGCCATGGATTTACGAAAAATTGTTTACGAATTTGctcaaaaaaacaacatttcaCACTGTTTTAACCATAATAAGAAGATGGCGGGTAAAGACTGGCTGCAGTCGTTCTTAAAACGCCATCCTCGTCTCAGCTTACGGAAACCTGAGTCAACAAGTTTAGGAAGAATTGCAGGTTTTAATGCTGAAAGCGTCGGTCTTTTCTATAGAAATTTGGATGAAGTTTTATCTAAACATAACTTTCAAGCAAACCGTATTTTTAACGTGGACGAGACAGGCGTTACAACAGTGCAAACTCCATCAAAAATTATTGCTCCAAAAGGAGTTAAACAACTTGGTAAGGCTGTGAGTTGGGAGAGAGGTAGAAATATAACAATTTGCTGTTCAATAAGTGCGTCTGGGATATATATACCTCCGATGTTTATATATCCTAGAAGCAGAATGTCGGAACAACTCAAACGTAACGGACCTGTGGACGCTATATATGAATGCTCAGCGAAAGGTTGGATGAATGAAGAGCTTTTTCTGACTTGGCTcaagcattttaaaaaacatgcaGCAACTTCAAATGAAAATAAAGCCTTGTTATTATTAGCCAATCACAGTAGTCACTGCTCATTACTGGTATATGAGTTTTGTCGTGAGAATGGAATAATAATGTTATCTTTTCCGCCTCACACCTCCCACAAACTCCAACCACTTGATTTAACAGTTTTTGGACCCTTAAAGTCTGCTTACTCAAACGAGTGTTCGCTATTTATGAGACAAAATATCCATCAAAAAATAACCCCATATGATGTTGCTGAGATTTTTAATCGAGCGTTCCTCCAGGTTGCTACAATGGGAAAAGCCCAAAAAGGGTTCGTAATACCCGCACTTCCCCTATATTAG
Protein Sequence
MRNAIKCVLRGTISVRRAASQFNIPKSTLQDNVSQARQKGINNIDDSGNKSESNHDDERSKYATRKVFSTKEETELEEYMKNSSTMFYGLTYKTARILAYEFASSVDKKYPKTWDESKMAGVEWMRSFMSRHPRLSYRKPENTSFARASCFNKSNVDLFFKNYLEIQTKYHFPPHKIWNTDETGVTTVLQAPKVIAETDGAKSVGQCVSGERGSLVTMCGTISASGNTIPPLYVFPRVRMKDQLMTGAVPGAIGYAEKSGWMTSKLFIKLLEHIQKHTGASPTSQILLLLDNHETHTSLEAINYCRENANPGKPITIFDIARLTSDPFLQSLTPKNILKSFESTGIWPTNSMIFSDDDFMGAYATDRPNPENNADTPDRSLVINDTSITTPAVLNTPTVDNENESAEKMQTKNRGWASRESILVRPRGGFVEYEDIDDGNLILVNEKEPKINVLKIDVNPPKNPIQANIVPADECDEAELEINNQNESKSRVPYSTLKDRLKSNNSSAARLGRHATFSPEQEVQLADRCIYLANMFYGLTAMDLRKIVYEFAQKNNISHCFNHNKKMAGKDWLQSFLKRHPRLSLRKPESTSLGRIAGFNAESVGLFYRNLDEVLSKHNFQANRIFNVDETGVTTVQTPSKIIAPKGVKQLGKAVSWERGRNITICCSISASGIYIPPMFIYPRSRMSEQLKRNGPVDAIYECSAKGWMNEELFLTWLKHFKKHAATSNENKALLLLANHSSHCSLLVYEFCRENGIIMLSFPPHTSHKLQPLDLTVFGPLKSAYSNECSLFMRQNIHQKITPYDVAEIFNRAFLQVATMGKAQKGFVIPALPLY

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

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