Lhae012066.1
Basic Information
- Insect
- Liopterus haemorrhoidalis
- Gene Symbol
- mafaa
- Assembly
- GCA_963971575.1
- Location
- OZ020611.1:184062829-184063797[-]
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 1.4e-11 3.3e-08 35.3 14.5 2 61 233 292 232 294 0.97
Sequence Information
- Coding Sequence
- ATGGAGGACGACCACCTGGCCGAGGAGTACGTGCAGGAGTTCGTTCTAGACCATCTAGAAGACGTGGCCGTCACCGTTAAACGTGAGGAACGCGCCAATCGTACCGCTGTACCTGAGCAAGAGACCTGGCTACATCATGATGAAACGACAACACGACTCGGCGGTCATCAATGGGTCGAGCAGCGGAGATTACCGCCGCTATCACCACCACCTGAATCTGCCATGTATGGCACGCAGCCCATGCTTGTAAACATGACCCTAGTTAATGGAGATCCAGGTACACCACCCGACACGCCACCAATCAGTCACTCTCCAGTGCAGAACTGTCGTCCTCAGGGTCTCGTGGATGAGATGATGTGGCTACCGCAAACCATGAGACAAGACCCGCAACCCCTGGACTTGAGACCAATGCACTGCATGACCAGTGCTGGTGACCAAGATTGGGACCGTCGCGAGTATATTCCTTCGGGGAATATGTTAGATCACCCATCGATGCACCCCTTGAGCCTGCAACCTCACAGGCCGCTCTCTGTGTGCAGTGGCGGCAGCGCCCAGTCACCTCGCATGCAGCTCGGCTCTGGAAGCGGCTACTCCACCTGCAGCGAAGAACTTAGCCTCAACGATGAGATGCTCATGTCATTATCAGTGCGAGAACTTAATAAAAGACTTCACGGTTGTCCAAGAGAAGAAGTAGTCAGGCTCAAACAAAAAAGAAGAACATTAAAAAATCGTGGGTATGCTCAAAACTGCCGAAGTAAGAGACTCCAACAAAGACAAGACCTGGAAAGTATGAACCGAAGCCTTCAAAACGAACTACATagaataaaaatggaattagcGAGAGTGTCCCAAGAAAGAGATTTGTTAAAACAGAGGATAAATATTAATAGCCGTGGATCGAATTCGAATAACCAAGGAATCCATAATCTTAATTCAGACGGACAGAGTTCACCGGAGTTTTATCTGTGA
- Protein Sequence
- MEDDHLAEEYVQEFVLDHLEDVAVTVKREERANRTAVPEQETWLHHDETTTRLGGHQWVEQRRLPPLSPPPESAMYGTQPMLVNMTLVNGDPGTPPDTPPISHSPVQNCRPQGLVDEMMWLPQTMRQDPQPLDLRPMHCMTSAGDQDWDRREYIPSGNMLDHPSMHPLSLQPHRPLSVCSGGSAQSPRMQLGSGSGYSTCSEELSLNDEMLMSLSVRELNKRLHGCPREEVVRLKQKRRTLKNRGYAQNCRSKRLQQRQDLESMNRSLQNELHRIKMELARVSQERDLLKQRININSRGSNSNNQGIHNLNSDGQSSPEFYL
Similar Transcription Factors
Sequence clustering based on sequence similarity using MMseqs2
- 100% Identity
- -
- 90% Identity
- -
- 80% Identity
- -