Cfum014435.2
Basic Information
- Insect
- Cephus fumipennis
- Gene Symbol
- -
- Assembly
- GCA_030142355.1
- Location
- JARQSY010001541.1:1440-1943[-]
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 1 1.7e-08 0.0004 20.4 3.4 9 18 133 142 127 144 0.94
Sequence Information
- Coding Sequence
- ATGGCCTCCAAACGACAAGCCCGATATTATAATCGAGGGAAAGTAGATCGCGAGTTCCAAGTAGGAGATCTAGTGCTTAGGAAAAATAGAGTCCTTTCCTCCGCCGCCCAGAATTTCGCCGCCAAGCTCTCGCCTAAGTATCGCGGTCCCTATTCCATCACCAAGAAAATATCCCCTGTAGTGTACGAGATCCACGTCcctttaaagaagaaatggcCCAAAGTCCACGTGAAGGACCTGAAGCCCTACGAGGGCCCGCAGGACCAAACTCTTCCCGACGAACCCGCACACGACACCCGCGACACCCCAGTCCCAAAGGAAATCGTTTCACCCGCGGAGCCCAACCCAACCACTCCCATCAACCTTCCCGAGGACCCACCTATAGAGATGCCCATGAAGCGGCCCCGAGGCCGACCGAAGGGCAGTGGAACCCGCCGGGAACCCCCACAGCCAAACCCTCCCCGCGAAGTACCCTACGCCCTTCGAAACAGAAAAGCCCAGTAA
- Protein Sequence
- MASKRQARYYNRGKVDREFQVGDLVLRKNRVLSSAAQNFAAKLSPKYRGPYSITKKISPVVYEIHVPLKKKWPKVHVKDLKPYEGPQDQTLPDEPAHDTRDTPVPKEIVSPAEPNPTTPINLPEDPPIEMPMKRPRGRPKGSGTRREPPQPNPPREVPYALRNRKAQ
Similar Transcription Factors
Sequence clustering based on sequence similarity using MMseqs2
- 100% Identity
- -
- 90% Identity
- -
- 80% Identity
- -