Mser006166.1


Basic Information
Transcription Factor Domain
Sequence Information
Similer Transcription Factors

Basic Information

Insect
Malthinus seriepunctatus
Gene Symbol
-
Assembly
GCA_963924605.1
Location
OZ004600.1:85933169-85935622[+]

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 3.3e-08 5.3e-06 26.5 0.1 4 41 31 68 28 70 0.92

Sequence Information

Coding Sequence
AtggcaaaaaagaaaaaagaaaatgttgtgAAAAAGAAGGTTTCACGTTCAGTAATTAATAAGCGGCCCATTCATACGTATTCTGAAAGTTCTTTAAGTGAAGCTCTTCGCCTAATACGCCAAGAGGTATTAACTATAAGAGCAGCCAGCAAACGATTTGGTGTTCCACGATCTACTATCCAAGATAGGTTGAGTGGAAGAATTGCAGAAGCACCCCGAAGAATGGGGCCACAACCAGTTTTGAGTCGAGACGAAGAAAAGAAGCTTGTGGAATGGTGTTCAAATCTTGCAAAGTGCGGATTCCCAAGAAAAATGGACGATTTATTAAACACTgtacaaaatattataaaagagaaGGCGATATTAACACCCTTTAAGAACGGTCGACCAGGTAAAAAGTGGTTTACCGCTTTTATGAAAAGGAATCGAGAATTATCTGTGAGAGAAGCGGAAGGGGTAACAAAAGGACGAGCTGTTGTTACAGaagaaaatattagaaaatggTTCTCTGAATTacatgaatatttaaaaagcatAAATGCGGAGGATATACTGAACGAGCCAGAACGTATTTTTAATGGAGACGAAACCAGTTTTTCTCTTTGTCCCAAAACAGGCAAAGTAATTGCTCCCAAAGGGTACAGAAATGTGTATCAGTTACAAACGACTAGCGAAAAGGAGACACTAACGGTGTTGCTGGTATTTTCAGCTAATGGACATATAGTTCATCCATGTGTGGTTTTTCCATATGTACGTCCACCAAAAGATGTGAAGGAAAGCATCGATTCGAAGTGGTTTATGGGCTTGTCCGATTCAGGGTGGATGAAAGCAGATGTTTTCTTTGAATATGTCGCTAACGGCATAAACAAGTGGTTGGtagaagcaaaaattaaaaagccaaTTCTATTTTTTGTCGATGGACACAAAAGTCATCTTACATTGAGTCTTAGTGAATTTTGTGCAAACGCTGGTATTATATTATATGCGCTACCACCAAATACCACCCACATCATGCAGCCAGCAGATGTTAGTGTGTTTAAGCCCTTTAAATCAGAATGGAAAAAGACAGTAAGGCAATGGCAAATACGAACGGAAAAcacaaatgaaattttaacaagAGCAAAATTTTGCCCTCTTCTAAAATTGGTATTGGAAAATCTTGATATGTCTGACAGTATAAAACATGGATTTCGCAAGTGCGGACTTTATCCATTTGATCCGGATAAAGTAGATTATACTAAATGTATACAAAACCAATTAGAGAGATTGGCTAAAAATGAAATCAAATCTATTCCATTGTCTGGGCTACCTTCAGAGCGAGATTATCAAATGGCACAACAAATAGTTGAATCGATTCGTCCTATTTTGGAAGAAAAACAAATAGAAGTAAACATCGTCatagaagaaattaataaagCAAAAGATGCTACAAGAGAAATACCCTATAATACCATTGATAATGCcgtcattttaataaataatgatacAGATTTCATTACTGATGTAAACATTACAGCTGGGGTGTTTGACGTAAATAGTGAAGGATGCCTTGTCCCCACTACACCTGGAGTGTTAGACGGAAATATTGAAGGATGTCTTGTTTCCAATCATGAATATCTTGATGACAACTTTAACATAACTGACGAAAACCCTCTACCTAACACTTCCATAAGTTTGCCAATTACAGTATTAACAGACAATAACATACAACCTAATCCTAAAATTGGCAGTGatgattcaaaaattaatattttaagtgaCATCTGCATTGTGAATGAATCATCTGCCAATAATCATTGTTCAACTGTAATTACTAATAAAGTTGACGCAAGTAGTGAGCTTTCAAAGGAAaatatattattcaaaaaagaaattccAGTTATACCTCCCTATGAAACTCATCTTTTTTATCCAAAGCCAATTCAAAAGCTTGGGAAACGTGCACCGATAGAAAAAGGACCCAGTTGTATATCATCACCTGGATGGcgagattttcaattaaaaaaagaacaagAGAAGCAAGCAAAATTGGATGCTTTGAAATTGGAAAAGCAGAAAAAGAAAGAAGAAGCcataaagaaaaaagaagaaaagcgCAAACAGACAGAAATGCGAAAGGCGGCCAATATGTCAAAGAGGAAGAAATtagtaaaaaagaatttaatacgAAAGCCACCTACGACGAATGTGACCTTAGAACATTCAATAGAAGGAAATGAGGAAGATCAATTAACTGTAACTGCATCACACGTCGAGAAGGAAAGAATCAAGTGCTGTGCATGTGAAGATGAACTGATTAGCGACACCGAAGAAAATGATTTAAAGAATATAGGTTGTGAACAATGTCCCTCTTGGTACCATTTAAAGTGTACGAAATTTAAAGGACAACTATACGAAGCCGTTTTTAATTTGGACTTCATTTGTCTAACCTGCAATGAGGTCACTTTTTTGTAA
Protein Sequence
MAKKKKENVVKKKVSRSVINKRPIHTYSESSLSEALRLIRQEVLTIRAASKRFGVPRSTIQDRLSGRIAEAPRRMGPQPVLSRDEEKKLVEWCSNLAKCGFPRKMDDLLNTVQNIIKEKAILTPFKNGRPGKKWFTAFMKRNRELSVREAEGVTKGRAVVTEENIRKWFSELHEYLKSINAEDILNEPERIFNGDETSFSLCPKTGKVIAPKGYRNVYQLQTTSEKETLTVLLVFSANGHIVHPCVVFPYVRPPKDVKESIDSKWFMGLSDSGWMKADVFFEYVANGINKWLVEAKIKKPILFFVDGHKSHLTLSLSEFCANAGIILYALPPNTTHIMQPADVSVFKPFKSEWKKTVRQWQIRTENTNEILTRAKFCPLLKLVLENLDMSDSIKHGFRKCGLYPFDPDKVDYTKCIQNQLERLAKNEIKSIPLSGLPSERDYQMAQQIVESIRPILEEKQIEVNIVIEEINKAKDATREIPYNTIDNAVILINNDTDFITDVNITAGVFDVNSEGCLVPTTPGVLDGNIEGCLVSNHEYLDDNFNITDENPLPNTSISLPITVLTDNNIQPNPKIGSDDSKINILSDICIVNESSANNHCSTVITNKVDASSELSKENILFKKEIPVIPPYETHLFYPKPIQKLGKRAPIEKGPSCISSPGWRDFQLKKEQEKQAKLDALKLEKQKKKEEAIKKKEEKRKQTEMRKAANMSKRKKLVKKNLIRKPPTTNVTLEHSIEGNEEDQLTVTASHVEKERIKCCACEDELISDTEENDLKNIGCEQCPSWYHLKCTKFKGQLYEAVFNLDFICLTCNEVTFL

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

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