Basic Information

Insect
Ceramica pisi
Gene Symbol
-
Assembly
GCA_963859965.1
Location
OY982556.1:4752399-4762565[+]

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 9.8e-11 6.8e-08 33.4 0.0 1 39 281 319 281 325 0.92

Sequence Information

Coding Sequence
atgGAAATACGGTCAGACATCGCTGTTGATTCTTCACAATCAAACATTTGCCGTTGCTGCTTGAGAGGCGGTTGTCTTAAAAGTATTTCCTCAGAATATTACTTCTCAGGACAAAAAGAAGTATATGGGGAAATGCTGAAGACTACGTTGGATATTCAATTGACTCACCTAGGAATTGAGCCAGTGACTTACCTGATATGTGAAGACTGCATCACTAGGCTGCGAGAAGCAGCCATGTTTAAACAGATGGTGTTACAGAATGAAGAGCATTATCTGCAAATTATCGAAACCTTGAAACTTGACAAGGCAAGAGAAGCAAAACTAACAGATGATGAAGTAAAACTGGAACTTATAAAGTGTGAATCACCAAATGTGATGGAGTTTGCTGATGACAGCTACGACGATGATGATGAAATCTtggcaaatataaaaatggagCTGCAGAACGACGCCATCTTGGATACTTTGCAGCGAAAACACTATGTGCACGAAAAAAAGACCCGATTGAAGAAATGTAAAATGAAAACTGACAATGGTATCAAACCAGGAAAGGACTGGTCCAAAATAGCAGAACGTCGCGGTAACGGCCCGATACTACGCGAAAACTCTTTGAAACTGCTCGCGAATTCGACGGTATTTGTTTTCCAATGGAACAAGAGCCGATATAGATGCTTCTGCTGCAAAGAACCGTTCTCTGACGTCACTCTACTAAGGGAACATACGAACACCAAACATACTCTAAAAgccatcgaaaaaaaaatcattgatCAACAGAATAGACTTGTGAAGatgcCTCGAGTCAGCCTGCTCTCTCCATCTTCGAAAAAAAGGAAAACGTGGGATCCTGATCAAATGAAGAAGGCAATCGAAGCTGTAAGGACAAAGGTCATGGGCTATAAAAAGGCTGTAAAAACGTTTTCTGTACCAAGATCCACATTGAAACGATTGGTGAAGGACTCTCAAGAATCTTTAAAAGTGACGCAATTATTGAATCTGACTCTGAATATGACGAGCAAGTCGATCCAGATAGGATGA
Protein Sequence
MEIRSDIAVDSSQSNICRCCLRGGCLKSISSEYYFSGQKEVYGEMLKTTLDIQLTHLGIEPVTYLICEDCITRLREAAMFKQMVLQNEEHYLQIIETLKLDKAREAKLTDDEVKLELIKCESPNVMEFADDSYDDDDEILANIKMELQNDAILDTLQRKHYVHEKKTRLKKCKMKTDNGIKPGKDWSKIAERRGNGPILRENSLKLLANSTVFVFQWNKSRYRCFCCKEPFSDVTLLREHTNTKHTLKAIEKKIIDQQNRLVKMPRVSLLSPSSKKRKTWDPDQMKKAIEAVRTKVMGYKKAVKTFSVPRSTLKRLVKDSQESLKVTQLLNLTLNMTSKSIQIG

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

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