Nudd036963.1
Basic Information
- Insect
- Notocelia uddmanniana
- Gene Symbol
- JMJ706
- Assembly
- GCA_905163555.1
- Location
- LR991067.1:24798140-24800470[-]
Transcription Factor Domain
- TF Family
- ARID
- Domain
- ARID domain
- PFAM
- PF01388
- TF Group
- Helix-turn-helix
- Description
- This domain is know as ARID for AT-Rich Interaction Domain [2], and also known as the BRIGHT domain [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 7e-12 3.1e-08 35.5 0.1 28 88 212 269 185 270 0.83
Sequence Information
- Coding Sequence
- atggCTAAGCTTAAACGCGGCGCTAAGACAGTTCCAGAAGAGACTCCGACATCTACAAGGCTCCTGACAAACTCCCGTGAACCGCAACCGACACCCAACCCGGATGTGTACGAGTTTGATGCTGAGCTAGAGGCCTCACGATCCGCCTCGAGCCTCCGAATGTGGCACAACCGGCCTCCGACCCGGCACATCGCCTGGCCTAGCCCCCCGCTCAGCCCCCGGCACAACCCGCTCCGTTACAAAGCGCCCCGGCAGGACCCGCACCGATCCGACCTAATAAACAACAGGAGAGCGGGGCAGAGTGCGTCAGTGCAAACTGAAGGCCTGAACCAACCGTCAACATCCAAGGAAGAGACGTACTTGAACCAGAACGTGGGTTCTGAGTATGAGGCGCCAACGTTTTACCCGACAGCTGAGGAGTTTGAGGATCCAATAAAGTATAACGACAAAATCGCCCCTCAAGCCTCGATATACGGACTCTGCAAGATAGTTCCACCAGAGGGCTTCACGCCGTCTTGCAATAAGAGCGAGTCGATGCGCTTCGCGGTCGTAAACCAGTACAACTCCAAGATGTACAGCCAATGGGACCGGTGTCGAGAGAACTCGCTGTCATCAATACGCACCTCAGGTCGCAGAGCAGTAGTGAACCTCCCTAAGCTGTATCACGCCGTCGAGAGGAACAGTGGACTTAGCAACGTGATCCAACGCAAGCGCTGGGGCCGCGTGGATGAGGAGATGAAGCTCACGAAGCTGCAACACCCGAAGAGGAAACTCGACCCCATATACATGCGATATCTGCTGCCGTACGCCATGGTCTCTGACCAGGAGCGCCAAAACATAATGACCGAAGTGGAAAAATGCTGGATCACCAAATACCAAAAGGTTGTTGGAGCGAGCCCGCCACCCCTTCGTTCGTCAGAGAACCAAGGTTGCCCATATAGCTCAGCGAATCAGCAAGCTGAAATGGCAGTGGGTCACATATCAcagaaccgatggcctttgGGGCAGACTAGAtcttga
- Protein Sequence
- MAKLKRGAKTVPEETPTSTRLLTNSREPQPTPNPDVYEFDAELEASRSASSLRMWHNRPPTRHIAWPSPPLSPRHNPLRYKAPRQDPHRSDLINNRRAGQSASVQTEGLNQPSTSKEETYLNQNVGSEYEAPTFYPTAEEFEDPIKYNDKIAPQASIYGLCKIVPPEGFTPSCNKSESMRFAVVNQYNSKMYSQWDRCRENSLSSIRTSGRRAVVNLPKLYHAVERNSGLSNVIQRKRWGRVDEEMKLTKLQHPKRKLDPIYMRYLLPYAMVSDQERQNIMTEVEKCWITKYQKVVGASPPPLRSSENQGCPYSSANQQAEMAVGHISQNRWPLGQTRS*
Similar Transcription Factors
Sequence clustering based on sequence similarity using MMseqs2
- 100% Identity
- -
- 90% Identity
- -
- 80% Identity
- -