Basic Information

Gene Symbol
-
Assembly
GCA_952773005.1
Location
OX731680.1:106725619-106742624[+]

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 4 1.1e-12 1.4e-09 39.5 0.0 1 39 134 173 134 177 0.90
2 4 2.1e-12 2.8e-09 38.5 0.1 2 38 189 225 188 230 0.89
3 4 7.6e-19 9.7e-16 59.2 0.0 2 45 244 288 243 288 0.98
4 4 0.1 1.3e+02 4.3 0.1 1 13 295 307 295 307 0.90

Sequence Information

Coding Sequence
ATGATACTTGAACACTGTCATCAGCGAAGAGACGATGAAGGTGATATTTTACCGGACGCGCAGCCTGTGGGACCTACAGCTACTCCGGTCAAATGTCTATCAGTTAGTCCGTCACATCGTGATATGGGagTAGATACGTCGAGTATACGTGAAGAGTATATGGTGGATGAAACGAAAGTAAAATTCGAAACTTTGAGAACGATGGACTCCACTTCAGATAGCATGGATACTTTGGAAAACCACATGTCTTCAGATaggAGCATAAACGAGGATGATCATACGATGCATACAATGATGATAACACCAGAATTACTCGGTCTCATTCCGTCAAATTCTTCAAATACCGCTtcagAAGTGGGTAGTGATAGTGAAAAATGTCCGACAATGTCAAAAGCGTGGACTCAAGATGACATGGAATTAGCATTAGATTCGTTGCGTAATCGTCAGATGAGTTTAACAAAAGCTTCAATTACCTATGGTATACCATCTACGACGTTATGGCAACGCGCGCACAGGCTTGGTATCGACACACCGAAGAAGGAAGGTACTACAAAGTCTTGGAATGAAGAGGTTTTAAATGCGGCTTTAGAAGCTCTTCGAACTGGCACTATATCGGCTAATAAAGCTAGTAAAGCATACGgTATTCCGAGCagtacattatataaaatagctagGAAGGAAGGAATTCGTCTAGCAGCTCCGTTTAATGCCGCCCCGACCTCGTGGAATCCGGAAGATCTTGAACGAGCTTTAGATGCTATACGCACAGGACAGATTTCGGTACAACGAGCTGCCACTGAATACGGAATCCCATCCGGTACTCTCTACGGAAGGTGTAAACGAGAAAAGATCGAACTGTCCAGAAGTAATCCCACACCTTGGTCTGAAGATGCGATGACGGAAGCTTTGGAAACCGTAAGGTAA
Protein Sequence
MILEHCHQRRDDEGDILPDAQPVGPTATPVKCLSVSPSHRDMGVDTSSIREEYMVDETKVKFETLRTMDSTSDSMDTLENHMSSDRSINEDDHTMHTMMITPELLGLIPSNSSNTASEVGSDSEKCPTMSKAWTQDDMELALDSLRNRQMSLTKASITYGIPSTTLWQRAHRLGIDTPKKEGTTKSWNEEVLNAALEALRTGTISANKASKAYGIPSSTLYKIARKEGIRLAAPFNAAPTSWNPEDLERALDAIRTGQISVQRAATEYGIPSGTLYGRCKREKIELSRSNPTPWSEDAMTEALETVR

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

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