Basic Information

Gene Symbol
-
Assembly
GCA_029286655.1
Location
JAGSMY010000034.1:113754-116409[-]

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 7 0.007 12 7.0 0.0 46 86 100 140 86 141 0.84
2 7 0.0026 4.3 8.3 0.1 49 86 199 234 181 235 0.78
3 7 0.19 3.2e+02 2.3 0.0 49 83 289 322 278 326 0.83
4 7 0.0011 1.9 9.5 0.0 50 86 390 425 382 426 0.85
5 7 0.0026 4.3 8.3 0.1 49 86 484 519 466 520 0.78
6 7 0.19 3.2e+02 2.3 0.0 49 83 574 607 563 611 0.83
7 7 0.0034 5.6 8.0 0.0 50 83 675 707 667 710 0.84

Sequence Information

Coding Sequence
ATGGATGTTACACATTCACATAACCAAAGTTATTGGTTTGTGTTGAGAGAGGACCAAAGCAATGTTATATTCAGTAGCAATAATTTTGCTATACAAAATACACAAAGCCAGGACGGCAGGGCTGCTATAGAGACTCTGGACAACAGTCagtacatacaaataaatgaagCCCCTTTACCCATATCTGATGAAGCTTTAGATCATTGTAAAAAAGAAGCACAAGACACATTCAAAGAGGAATCATTTTgggataaaaacaaaataaagttattgctCACACTGTGCCTTGACCAAAGGTACAAAAACGTAACCAAGGAGAAATTCTTATGGAATGAAATAGCTGTGAATGTGGGGACCTCACCTGGAGAGTGTGATAAGAAGTTTAGGAATCTTAGGAGAACATATATTAGATtgctaaaaaagaaaaaattaggAAAAGATATAAAGTGGATCCATTACAACATTTGTGAAGAAGTATTTAAAGACTGCAAGTCCTTTTCCCCATCATTGTTGGAGACCTGGGAAGATAACAAAATTAGGAGGATGCTGAACTtgtatatagaaaatattactaaatttcGAAACCCAGACTGTCTGCAGAAAGATGTTTGGAAAGAAATTGCTCAACAATTGGATACAACAGAATATAATTGTTACCACAAGTTCAAGAATTTGAAAAGGACCTATTTCAATTGGTTGGAAAGAACCAGGGACACTGGGAAATTAGTAAAATGGCCATACAGAAATTACTTTgagagaatattttataactacaaCCCTAATGTTGGACCATGGGAccgaaataaaatacaacagCTTATTGCAGCATATGGCCAAATTGCACATAAATTTTTGAACCCAAGAATGCAAAAAAAAGAACTTTGGaaagaaatatcaaacatTGTAGGAGAGAGTCCCAGTAATTGTGATAGAAAATTCaggaatttaaaacaaacatatattagattaaaattgAGGGCAGAATCTGGCAGATCAATAACAAAGTGGTACTACTATAAGGATTTTGAATCAATATATGAAAACAGTAACTTCTGTAGCAATGATGGCATTCCAAGACTCTTGTATAAAACCCAGGAAAGTGATTATGTTCATCAGTTGCTCAGTTTCTACTTAGATAATAAGGAGAAGTTTAGAGACCctttaatgaaaaagaaaaatttatgGCGACAGATAGGACCCAGTTTGGGGCTCTCTACAGAGGAGTGTGATAAGAAGTTTAGGAATCTTAGGAGAACATATATTAGATtgctaaaaaagaaaaaattaggAAAAGATATAAAGTGGATCCATTACAACATTTGTGAAGAAGTATTTAAAGACTGCAAGTCCTTTTCCCCATCATTGTTGGAGACCTGGGAAGATAACAAAATTAGGAGGATGCTGAACTtgtatatagaaaatattactaaatttcGAAACCCAGACTGTCTGCAGAAAGATGTTTGGAAAGAAATTGCTCAACAATTGGATACAACAGAATATAATTGTTACCACAAGTTcaagaatttaaaaaggaCCTATTTCAATTGGTTGGAAAGAACCAGGGACACTGGGAAATTAGTAAAATGGCCATACAGAAATTACTTTgagagaatattttataactacaaCCCTAATGTTGGACCATGGGAccgaaataaaatacaacagCTTATTGCAGCATATGGTCAAATTGCACACAAATTTTTGAACCCAAGAATGCAAAAAAAAGAACTTTGGaaagaaatatcaaacatTGTAGGAGAGAGTCCCAGTAATTGTGATAGAAAATTCaggaatttaaaacaaacatatattagattaaaattgAGGGCAGAATCTGGCAGATCAATAACAAAGTGGTACTACTATAAGGATTTTGAATCAATATATGAAAACAGTAACTTCTGTAGCAATGATGGCATTCCAAGACTCTTGTATAAAACCCAGGAAAGTGATTATGTTCATCAGTTGCTCAGTTTCTACTTAGATAATAAGGAGAAGTTTAGAGACCctttaatgaaaaagaaaaatttatgGCGACAGATAGGACCCAGTTTGGGGCTCTCCACAGAGGAGTGTGATAAGAAATTCAGAAACCTAAAACAAACATACATCAGACTAGCAGAGAAAAAAAGAGCAACGGGTAAATGTAACCAGTGGCCATATTATACTTACTTTGAACAAATTTATGATCAACCCAAAGCAAAGAGGGAGTGCAGTCACAGATGTGGTGTTGACAATATGACATTAACAGAAATTAAAACTGCTGTTAGAACTATGCATCAGAATGAGGGAAAAGACAAGTTTGACAAGTTGGTTCAAGTTATTGAAGAGTCAAATGCCATTCAAAGGGAGAGAAACAATATCCTTTATGCAATGCTACATAGACattga
Protein Sequence
MDVTHSHNQSYWFVLREDQSNVIFSSNNFAIQNTQSQDGRAAIETLDNSQYIQINEAPLPISDEALDHCKKEAQDTFKEESFWDKNKIKLLLTLCLDQRYKNVTKEKFLWNEIAVNVGTSPGECDKKFRNLRRTYIRLLKKKKLGKDIKWIHYNICEEVFKDCKSFSPSLLETWEDNKIRRMLNLYIENITKFRNPDCLQKDVWKEIAQQLDTTEYNCYHKFKNLKRTYFNWLERTRDTGKLVKWPYRNYFERIFYNYNPNVGPWDRNKIQQLIAAYGQIAHKFLNPRMQKKELWKEISNIVGESPSNCDRKFRNLKQTYIRLKLRAESGRSITKWYYYKDFESIYENSNFCSNDGIPRLLYKTQESDYVHQLLSFYLDNKEKFRDPLMKKKNLWRQIGPSLGLSTEECDKKFRNLRRTYIRLLKKKKLGKDIKWIHYNICEEVFKDCKSFSPSLLETWEDNKIRRMLNLYIENITKFRNPDCLQKDVWKEIAQQLDTTEYNCYHKFKNLKRTYFNWLERTRDTGKLVKWPYRNYFERIFYNYNPNVGPWDRNKIQQLIAAYGQIAHKFLNPRMQKKELWKEISNIVGESPSNCDRKFRNLKQTYIRLKLRAESGRSITKWYYYKDFESIYENSNFCSNDGIPRLLYKTQESDYVHQLLSFYLDNKEKFRDPLMKKKNLWRQIGPSLGLSTEECDKKFRNLKQTYIRLAEKKRATGKCNQWPYYTYFEQIYDQPKAKRECSHRCGVDNMTLTEIKTAVRTMHQNEGKDKFDKLVQVIEESNAIQRERNNILYAMLHRH

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

100% Identity
-
90% Identity
-
80% Identity
-