Basic Information

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 4 0.059 1.6e+03 -0.6 6.2 11 16 13 18 11 19 0.82

2 4 1 2.8e+04 -5.1 1.4 12 14 33 35 33 35 0.91

3 4 4e-10 1.1e-05 25.5 2.2 4 21 53 70 51 71 0.87

4 4 0.16 4.5e+03 -2.0 6.6 6 15 79 88 74 89 0.81

#	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	4	0.059	1.6e+03	-0.6	6.2	11	16	13	18	11	19	0.82
2	4	1	2.8e+04	-5.1	1.4	12	14	33	35	33	35	0.91
3	4	4e-10	1.1e-05	25.5	2.2	4	21	53	70	51	71	0.87
4	4	0.16	4.5e+03	-2.0	6.6	6	15	79	88	74	89	0.81

Coding Sequence: ATGTCTGATGACGGATCAACAACCGTTGAGAAGAAGGGACGCGGCAGGCCGAAACCCAATGGAACACAGTCAGAGGCTAAAGCGGACACTAAAAAGAGAGGTAGGCAGCCAGCTCCAGCAAAGGCGAAAGAATCTGCTAAGTCATCTGATGATGAACAGGCACCAGTAGCGAAAAGAGGACGAGGCAGGCCCAAAGGTTCCAAGAAAAAGGCTGCATCTAAGGCAAAgAGTGCTCCTACTGAGGGGCGAGGTCGTGGCAGACCACGCAAGGACCCTGCCCCTCCAAAGAAGGATGCGGCATCAACTGAAGAGGAGCAAGAAGATGACGAGGAAGATGAAGGCTCTGACcagtaa
Protein Sequence: MSDDGSTTVEKKGRGRPKPNGTQSEAKADTKKRGRQPAPAKAKESAKSSDDEQAPVAKRGRGRPKGSKKKAASKAKSAPTEGRGRGRPRKDPAPPKKDAASTEEEQEDDEEDEGSDQ

Sequence clustering based on sequence similarity using MMseqs2