Smeg011301.1
Basic Information
- Insect
- Subacronicta megacephala
- Gene Symbol
- -
- Assembly
- GCA_958496365.1
- Location
- OY292523.1:12254783-12257081[+]
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 3 4.3e-06 0.0031 17.9 0.0 16 40 8 33 2 37 0.76 2 3 1.3e-11 9.1e-09 35.6 0.1 1 44 108 151 108 152 0.94 3 3 7.2e-10 5.2e-07 29.9 0.0 1 38 180 217 180 224 0.91
Sequence Information
- Coding Sequence
- ATGGATGCTGTTAAACAAAGGAGATTGTCACTGCGCGAGGCCGAAGATCGGTATGGTGTGCCCAGACAAACTCTATCCGACCACTTGAAATCTGGAAACATCATGAAACGTTTGGGAAGACTTTCAATAATGAACGAAGTGCAAGAGGAAGCCTTCGTCAACAGCATAATACAATTCTCAAAGTGCGGAGTTTCTCTAAATCCGAAAATAATTCGGAAACACGCTTTTGATTTTTGCCAACAAAATAGTATAAGACATAAGTTTAACATCTCTACGGGCCTCGCCGgatcagttcaaaaatattatcagCGTGCTCTGTGGACTGAAGAGAACCTACGTGCTGCTATGGAAGCTGTGACCCAAAAAAAACTATCACAAAGAGCTGCATCAGACTTTTATGGAATCCCTAAAGCAACGTTAATTAATCACTTAAAAACGGGAAGCACCAAAAAACTCgttaagaaaatattgaatcaaTCGAAACTTGGGATACCCCTTACACTTTGGATGAGATTGCCTTTAAAGCGAGCCACGTGGACAGAAGAAAACTTACGAGCCGCAATGGTCGCAGTAATTAAGGACAAAATGCCTCAGCGATCTGCCGCAGATTATTATGGCATTCCGAGACAAACTTTAGCTGATCATTTATCAAAAGGAAGCATTGTAAAACGCATGGGACGCCATTCAATCCTAAACGAAGCACATGAAACTTATCTTCTTAATAGATTTAGGAAACTATCTAGTAATGGAGTAGCAATAACTCCACATTTAATTTGTAGGCAAGCGTTCTTGTTTtgcgaaaaatttaaaattaaacataatttcaaCGTCGAATCGAGACTTGCCGGCAAAAAATGGCTGAAGAGGTTTTTGAAACGGCATCCTGATGTATtgaatatttaa
- Protein Sequence
- MDAVKQRRLSLREAEDRYGVPRQTLSDHLKSGNIMKRLGRLSIMNEVQEEAFVNSIIQFSKCGVSLNPKIIRKHAFDFCQQNSIRHKFNISTGLAGSVQKYYQRALWTEENLRAAMEAVTQKKLSQRAASDFYGIPKATLINHLKTGSTKKLVKKILNQSKLGIPLTLWMRLPLKRATWTEENLRAAMVAVIKDKMPQRSAADYYGIPRQTLADHLSKGSIVKRMGRHSILNEAHETYLLNRFRKLSSNGVAITPHLICRQAFLFCEKFKIKHNFNVESRLAGKKWLKRFLKRHPDVLNI
Similar Transcription Factors
Sequence clustering based on sequence similarity using MMseqs2
- 100% Identity
- -
- 90% Identity
- -
- 80% Identity
- -