Csas026664.1
Basic Information
- Insect
- Carposina sasakii
- Gene Symbol
- -
- Assembly
- GCA_014607495.2
- Location
- CP053153.1:4513992-4517635[-]
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 64 4.0 1.8 11 16 13 18 10 19 0.83 2 5 0.015 4.2e+02 1.3 0.4 12 15 33 36 32 43 0.77 3 5 8e-10 2.2e-05 24.6 2.3 6 21 54 69 50 70 0.85 4 5 0.27 7.6e+03 -2.7 0.4 7 9 72 74 71 75 0.50 5 5 1 2.8e+04 -5.0 4.3 10 14 83 87 82 89 0.54
Sequence Information
- Coding Sequence
- ATGTCTGATGATGGATCACCTATTGTTGAAAAGAAAGGACGTGGAAGACCTAAAGCCAACGGGGCTCCTGTAGATACTAAAGCAGATACTAAGAAACGAGGAAGACCACCAGCAGCTAAAACTAAAGAATCAAAAACCTCATCTGATGATGAGCAGGCACCAGTTGTGAAAAGAGGAAGAGGTAGGCCTAAGGGATCAAAGAAGAAGGCACCTGCCCCTAAAGGAAAGGTTGGTTCTGGAGAGGGGCGAGGTCGTGGCAAGCCACGTAAAGAAGCAGCTGCTCCAGCCAAGAAAGATGCTGGTTCTACAGAAGAGGAGCAAGATGATGAGGATGATGATGAAGGCTCTGACCAGTAA
- Protein Sequence
- MSDDGSPIVEKKGRGRPKANGAPVDTKADTKKRGRPPAAKTKESKTSSDDEQAPVVKRGRGRPKGSKKKAPAPKGKVGSGEGRGRGKPRKEAAAPAKKDAGSTEEEQDDEDDDEGSDQ
Similar Transcription Factors
Sequence clustering based on sequence similarity using MMseqs2
- 100% Identity
- -
- 90% Identity
- -
- 80% Identity
- -