Amic012059.1
Basic Information
- Insect
- Agara michaeli
- Gene Symbol
- -
- Assembly
- GCA_018245675.1
- Location
- DWDX01009981.1:1-4487[+]
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 2 1.4e-12 4.8e-09 37.1 0.0 2 89 55 128 54 128 0.85 2 2 6 2.1e+04 -3.4 0.0 5 20 264 279 261 288 0.52
Sequence Information
- Coding Sequence
- TCACGATGTAAGGAATCTGAAAACGAGGGTACGTTGCAGACGCCGCGGCGGCTGTCGCTGCGCAACGGCGCGGAGCGGCGCGTGGGCGGGGAGCGCGGGGAGCGGGCGGAGCGGGCGGAGCGCGCGGAGTGCGGGGAGCGCGGGGAGCCGCGCGACGGCGAGGAGTCGCAGTTCCTCTCGCGGCTGAGGGAGTTCTACGCGCGCAGCGAGCGCGGCCACGCGCCGCGCGCCACCCCTCACCTGTCGCTGCGCGCGCTGTACGCGGGCGTGGTCGCGCGCGGCGGCTACGAGGCGGTCTGCCGCCGCAAGCTGTGGCGCGCGCTGCACGCCGACCAGCCCGCGCGCACGCGCCGCCTCTACGAGAAGTACCTGCTGCCGTTCGAGAGCCACGAGCGGCGGAGCAACGGGCTGCGCGCGCCCACCACCGTCGCCACCATCGACGTGAGCGActccccgccgcccgcgccccgccgCCTGCGCACGCcctcgccgcgcgccgccgccgccgcggacccgccgccgcccgggGACGACCACGAGGTCACCGCGAAGCCCGCCGAGCAGCTGAACAGGGAGTTCCTCGAGTCGCTGCCGAAGGAGCCGGCCAGGGTCGCCGTGAAACCGGCGGAACAGCCGGTAGAGCTGAAGTTCGACAGGCCGAGCATCGTCAAGATATTCCAGGACAACGAGGCGCTGGTCGCCGAGCTGGCGGCGAAGCACAACGTGGCGGACTCCGGGAAGCTGATCGACGAGATCGGGACGAGGTGCCCGAGCGACGCCAGCTCCGCGTTCCTCAGGGAGCTGGCGCAGAGGTTGAACTTGGGCAACCAGGAGACCGTGAAGGAGCCGCCCGCGAACGCCGCGTCCGACGCGCTGAGCGTGCTGTCCTCGCTCGGGGACAAGTACGCCATCAACGGgcacgcgcccgccgccgagCAGGTGCGGACACCGCCCGCTTTGTTGTGTCAGCGTgcgagagagagggagagagcgaTGTAG
- Protein Sequence
- SRCKESENEGTLQTPRRLSLRNGAERRVGGERGERAERAERAECGERGEPRDGEESQFLSRLREFYARSERGHAPRATPHLSLRALYAGVVARGGYEAVCRRKLWRALHADQPARTRRLYEKYLLPFESHERRSNGLRAPTTVATIDVSDSPPPAPRRLRTPSPRAAAAADPPPPGDDHEVTAKPAEQLNREFLESLPKEPARVAVKPAEQPVELKFDRPSIVKIFQDNEALVAELAAKHNVADSGKLIDEIGTRCPSDASSAFLRELAQRLNLGNQETVKEPPANAASDALSVLSSLGDKYAINGHAPAAEQVRTPPALLCQRARERERAM
Similar Transcription Factors
Sequence clustering based on sequence similarity using MMseqs2
- 100% Identity
- -
- 90% Identity
- -
- 80% Identity
- -