Efor003209.1
Basic Information
- Insect
- Encarsia formosa
- Gene Symbol
- kn
- Assembly
- GCA_030522645.1
- Location
- JAPYYY010000569.1:14908-24551[+]
Transcription Factor Domain
- TF Family
- COE
- Domain
- COE domain
- PFAM
- AnimalTFDB
- TF Group
- Helix-turn-helix
- Description
- This is the helix-loop-helix domain of transcription factor COE. It is responsible for dimerisation [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 5e-29 1.1e-24 88.6 0.0 40 97 275 333 259 338 0.88
Sequence Information
- Coding Sequence
- ATGGATGGAAAATCATCCCCCCCGAGGTGCCGCGGCTCCGCGTGCATCCGGTCCGACGGCTCCCGCCGCAATGAGCCTCGGCGTTCTACCCCGCCGCGGCGCCACGGTCGGCCCCGCCCCCTTACCCCCACTCCCTACCCCCGACTCCCGCCTATTGGCCGGATCCGGCCACACCGTCTCACGATTGGCTGGGCAGGTGTATCCCCATTGGCGGGCGACTCCGCCCACCGGAGCTCCCGCGCCGAAGCGTACCGCCCACCGTCGAGAGATTCTCGGACTTCCCCGTGGGACGGCTCGCAGGCTCGGCAGCCCGTGACACATTCGACAAGCGTCGCCGTAACGGGAAGCAACGCGCGGCTGGGGACTACTCGCCGAAGGCACGTGCGTGCAGAGCCCTGTACCGTAAACGACACTCCGGTGTATTATCACGATCGCAGCGCGGCTTCGTACCCACTTTCGACTGCAACAGCCAAGCTGCGTTACTACCAGCAGCAGCAGATTCAGCCCGAGGTCTACCCTTACGGCCTCACGACGCGCTCCGACGAGTGGAACCTGCTACCCAGCTCCATCGGCGCTGGGGGCAGCCCATGGCTCGGCCTCGGGGCGGCGGGCGGCGGACCCGGGGGCACCGGCTCCACGGCCGGGGGCAGCCCGGTCGAGCTCGAGGGACACTGGGGCCGGAAGCTCTACGGGGCGAGCGTAGCGCCCCCGCCACCGCCGCCCCACCACCACCCCCGGGCGCCCCTCGTCTTCGCGCCCCAGGACATGAGGCAGATCCTCAAGGAGGAACCCGTGCCCCGAGCCTGGCCCCAGCCCACCATCGCCGACAACGGATCaGCCGTGGTAGGTAGGGCGCACTTCGAGAAGCAGCCACCGAGCAACCTACGCAAGAGCAACTTCTTTCACTTTGTCATTGCCCTGTACGATCGATCGGGTCAGCCAATTGAAATCGAACGAACGGCTTTCATCGGATTCGTCGAGAAGGATCAGGACGTCCATCAAGTTCAGGCGATCGGTCATAATTAA
- Protein Sequence
- MDGKSSPPRCRGSACIRSDGSRRNEPRRSTPPRRHGRPRPLTPTPYPRLPPIGRIRPHRLTIGWAGVSPLAGDSAHRSSRAEAYRPPSRDSRTSPWDGSQARQPVTHSTSVAVTGSNARLGTTRRRHVRAEPCTVNDTPVYYHDRSAASYPLSTATAKLRYYQQQQIQPEVYPYGLTTRSDEWNLLPSSIGAGGSPWLGLGAAGGGPGGTGSTAGGSPVELEGHWGRKLYGASVAPPPPPPHHHPRAPLVFAPQDMRQILKEEPVPRAWPQPTIADNGSAVVGRAHFEKQPPSNLRKSNFFHFVIALYDRSGQPIEIERTAFIGFVEKDQDVHQVQAIGHN
Similar Transcription Factors
Sequence clustering based on sequence similarity using MMseqs2
- 100% Identity
- -
- 90% Identity
- -
- 80% Identity
- -