Apag005196.1
Basic Information
- Insect
- Arge pagana
- Gene Symbol
- Tef
- Assembly
- GCA_963969455.1
- Location
- OZ018309.1:20961984-20962970[-]
Transcription Factor Domain
- TF Family
- TF_bZIP
- Domain
- bZIP domain
- PFAM
- AnimalTFDB
- TF Group
- Basic Domians group
- Description
- bZIP proteins are homo- or heterodimers that contain highly basic DNA binding regions adjacent to regions of α-helix that fold together as coiled coils
- 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 8.2e-17 6e-14 51.8 7.8 4 62 267 325 264 327 0.95
Sequence Information
- Coding Sequence
- ATGGACTCGCGAGCAGAAGCGTCGCTTCCGTTGCTGGAAAGCGAGCAGCCGCTGGACTTCACGGCAGCACCAAACACGGACCAACCGAGGACGAAAGACGAGCACGAATGCGCGGCGGAACCGCCGGTATTGGATCTATCCTGCAAAAAAAACGCATCCGCGAGTCATCCGAAGTGTCTAGCCGAGAAGAACACGCAAGCATCTACCGTTGGGAAAATAGATGCCGAGCATTCGACGGAAACGGAACGGAAGAGTCCGTTCACGGGGCGTTCGTACATGGTCACGCCGCCCTCCGAAGGTGACTCGCCGAAGAAAACGAAGTACGAGCCGATTTACAATCAGATCaattcgacgacgagcgagatGTCGACGTCGGTCTATCCCATGATGCCCATACCGCTTAGCATCCCCGTTGCCGGCTCACCGAGCAGTCATCCACCTTTGTCTAGCCTCGTCGAGTCAAATCATCGCCTCCTGCAGACGCAACCGAGTTCGATCCAACTGCAAGCTGCCCTTCCCGATCATCACGCGATCGATTCGGTCGCAGAGCCCGCCCTGTCTCCGGATATGGGTAAGAAAATTCCACGACCGTTCAAGGCTTATCCGAAAGATCCTTTGTCGTTGACCATGGGCACGCCGGAGTTGATTTGCGATCAAACTTCCAACGAGGCCTACTCGGAGTTTCGGAAACGGATGCTGGATTCTGTGAAAAAGACGAACGAAGGGATCAACATTAAAATGCGAAGAACCGCGAAAAGCCCGAGTCTTCCGACCAGCACCATGGACGAGAAAGATGCCGCGTACTGGGAACGACGACGCAAAAATAACGAAGCTGCGAAAAGATCACGGGATGCGAGGAGAGCCAAggaagacgagatcgcgatCAGAGCAGCTTTTTTGGAACAAGAAAATATCAAGCTAAAATACGAGTTGGCAGCGTTGAGAAATGAAACTGCCAAGCTAAGATGTATGGTATATTCGAACTAg
- Protein Sequence
- MDSRAEASLPLLESEQPLDFTAAPNTDQPRTKDEHECAAEPPVLDLSCKKNASASHPKCLAEKNTQASTVGKIDAEHSTETERKSPFTGRSYMVTPPSEGDSPKKTKYEPIYNQINSTTSEMSTSVYPMMPIPLSIPVAGSPSSHPPLSSLVESNHRLLQTQPSSIQLQAALPDHHAIDSVAEPALSPDMGKKIPRPFKAYPKDPLSLTMGTPELICDQTSNEAYSEFRKRMLDSVKKTNEGINIKMRRTAKSPSLPTSTMDEKDAAYWERRRKNNEAAKRSRDARRAKEDEIAIRAAFLEQENIKLKYELAALRNETAKLRCMVYSN
Similar Transcription Factors
Sequence clustering based on sequence similarity using MMseqs2
- 100% Identity
- -
- 90% Identity
- -
- 80% Identity
- -