Bsom012735.1
Basic Information
- Insect
- Bedellia somnulentella
- Gene Symbol
- -
- Assembly
- GCA_963576735.1
- Location
- OY755176.1:3068069-3068630[+]
Transcription Factor Domain
- TF Family
- HMGA
- Domain
- HMGA domain
- PFAM
- AnimalTFDB
- TF Group
- Unclassified Structure
- Description
- This entry represents the HMGA family, whose members contain DNA-binding domains, also known as AT hooks due to their ability to interact with the narrow minor groove of AT-rich DNA sequences. They play an important role in chromatin organisation [1]. The high mobility group (HMG) proteins are the most abundant and ubiquitous nonhistone chromosomal proteins. They bind to DNA and to nucleosomes and are involved in the regulation of DNA-dependent processes such as transcription, replication, recombination, and DNA repair. They can be grouped into three families: HMGB (HMG 1/2), HMGN (HMG 14/17) and HMGA (HMG I/Y). The characteristic domains are: AT-hook for the HMGA family, the HMG Box for the HMGB family, and the nucleosome-binding domain (NBD) for the members of the HMGN family [2].
- 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 5 0.0023 1e+02 4.0 1.8 11 16 13 18 11 20 0.83 2 5 0.049 2.2e+03 -0.3 1.0 12 15 32 35 31 35 0.94 3 5 3.9e-10 1.8e-05 25.6 2.2 4 21 52 69 50 70 0.87 4 5 0.62 2.8e+04 -3.8 6.9 10 15 82 87 81 88 0.83 5 5 0.16 7e+03 -1.9 0.1 6 9 92 95 90 96 0.80
Sequence Information
- Coding Sequence
- ATGTCGGATGACGGATCCACGGCTGTTGAAAAGAAAGGAAGAGGCAGACCTAAAGCTAATGGCACCTCAGAAGCCAAAGGTGATGCCAAGAAAAGGGGACGACCTGTGGTACCTGCCAAAGCTAAAGAATCCACCAAATCCTCTGACGATGAGCAAGCGCCAGTAGCAAAGCGAGGCCGTGGCAGACCCAAAGGCTCCAAAAAGAAGGCTGCTGCTCCTAAAGCCAAGtCTTCTGGAGATGGCCGAGGTCGTGGCCGACCACGCAAGGATGCCCCAGCTCCTAAAAAGGATGCTACCTCTGAAGAAGATCAAGAAGAGGATGAAGAAGATGAAGGTTCTGATCAGTAA
- Protein Sequence
- MSDDGSTAVEKKGRGRPKANGTSEAKGDAKKRGRPVVPAKAKESTKSSDDEQAPVAKRGRGRPKGSKKKAAAPKAKSSGDGRGRGRPRKDAPAPKKDATSEEDQEEDEEDEGSDQ
Similar Transcription Factors
Sequence clustering based on sequence similarity using MMseqs2
- 100% Identity
- -
- 90% Identity
- -
- 80% Identity
- -