Basic Information

Gene Symbol
ARID5B
Assembly
GCA_030157265.1
Location
CM058053.1:3456368-3468080[+]

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 2 0.54 1.3e+03 -0.2 0.0 37 52 137 152 134 174 0.85
2 2 5.3e-26 1.3e-22 79.9 0.0 2 89 246 331 245 331 0.95

Sequence Information

Coding Sequence
atgaaatttttgagtcATTGTCAAGCAGATGATAAACTAGGTTACTGTCGACATGTAAAAGAGGCTTTGGCTAGAGATgatgAAGTTCTTGCAATATCGGAAAAAGTGGTTCTACGTGTAGAAGATTTGATAACTTGGATAACAGTAGATGCTGAATGGACATGGGGTAGATTagcaaaatatgaaaaagatGTGAAAGATCCACCGAAAAGTGAAGATGGTAAAAATGGGATAGGATCATTAACTGAAagttctttagatttttcggatgttgaaaaagaaagaaaagcATCTGattgcTATTCGGATAATGGAGGTCCTCCAGTAGTAATATTGAGTTATCCACGTTATTGTCGATATCGTGCCATGATGCGTCGCCTCGAAGGTGTAGAAAATGAATACCTCAAATATAAAATAGTAAATGCATTAGGTGGATTTACAacttatacaaaaaatacacGTGTACTTTTTTGTAAAGATACATTTGATTATCCAGAATTAGAAGGACATGAATTATTGTGCAATCATTTGGCACCAAAATTAAAAGGAAGACCTCGAGGAAAACGGAAAAAACGAAGTGTTTCTCCTGGATCGGAAAGTAATGAATCGGAATCGTCAGTATCTAATGTGTTCAATACATCAAAAGAGAAAATTAACactgaaaatgttaaaaatggtCTAAGATGCGATAATACACAATTAAGACGCAGTACTCGAGCgactgaaaataatgaaagtaAAGAATTTATGAAAGATTTGactatttttatgaaaactaaTTATTCGCCAATTGGGAAAATACCATCGTTGGGTTATAAAGAATtggatttatatttgttttatacAAAAGTGCAGAAATTGGGAGGTTATGATGTTGTGACTACGAATCGATTATGGAAATCGATTTTTGATGATATGGGAGGCCATGCTAATAGCACTAGTGCTGCTACTGTCATTCGGAGGCATTACGAAAgattcCTTCTACCTTATGAGCGTCATGTCAAAGGCGAAGAATACAAACCATTGCCAATATCAGAAAGACGTCGACTGAAAAGTAAAACCGGAAGTAGTACAAGTGATGCTGAAACAAGTGAAAGTACATCAAGAAGTGGTAATAGTACACCAGTACTGAATAGTTCAACACCTGTCACTCCAACAACGCCTACTGAAAATAAAgAATTTAATGTACAAGCAAAGACATCATCATCTCTACGCAGTGTTCGTGTAAAATCGGATCGTCAAAAAGACAAACaaacaataattcaaaataataataatgaaccAGAAGTAAAAATCGAAGATACAACTCATGAAGTTGTAGCAATAAAAGCTGAAGAATTCGTACCAGATAAAGATATTGAACCATTAACATCAGCTGTAGCACCAAAAGCTCAAAATCCAAATCCTGAAAAATCTCATACTTTAGAAGGCAAGGAAAATATaccaataataaaaacagGCGATACTCCTAGTAAAAGTAAAAGTCCGGAAGTAATCGAGGTGCCAtataatacaaaaacaaaaagtccGGAAATAATTGATTTAGAATCAACGCCAACTTTTCAAGAAgttaagaaaagaaaattggatattttaaaagaaggAGGCTTAGAAGTAACACCTGTACGAACAGTAACAAAAGAAATACGACCATCAGTTATACAACCAGTAccaatgaaaaatgaaatgcCACCACCTGTTAGTGTAGTAccaactacaaaaaaaataattccacAAAATATACCTAaaacttataattataataatggaCCACCGAAAGTATTACAATCAAAATCGATTTATTCGTATTCGGAGAAAACAGTTTATGGCAATCCAAAAGATTATATAAATCCAGTACATACTCCGAAATTTGTTGGAAGTAGACAACATCAAGgagatattttagatttaacaGTAACAAGTCCACAAAAACCTGTTGtggaaataatgaaaataccAACACCTAAAGTACCATATAAAATGCCCACGAATAATGTGTTAGATGGGAGACGGTtgggttcaaatttagagatAACTTTAGTTGGGTCTAATCGACAAGCCGCAGCGCCACCTACACCCAAATATAATTTACCACCACCGACTAATTACCAACGATTTACAACACACAAAAGAATAGCGTCTGAACATCATCTCAACCATAAAATACCAAGAattgatgaaaataaatataatagtAAAATACAAATACCTACATTACCGACTCCAAGTAAATCAACAATGGATATAACAATACCACACCATACAGCCAAAATTCCCCAAATACCAACTCCACATCCGCAATTTTCGTATTTATCGCATTTATACGAAAGTAGTAAAAATGTGGCTCCATATTTGCCCATGATGGATCCAATTTATTATACAGCAGCTATGCAAAGTTTATATGGTCCATTAGGTGCCGCCCATCCTCCTCCAGTTCCTCCATTACCATCAACTgaacaattgaaattttatagtgATTTAATGGCACATACGTCACGTTTAAACTTTCATTTTCCAATTGGATCCGATGGAAATCCTTCCATGttgaataataatagtaatagtttgaaaaaaccATAA
Protein Sequence
MKFLSHCQADDKLGYCRHVKEALARDDEVLAISEKVVLRVEDLITWITVDAEWTWGRLAKYEKDVKDPPKSEDGKNGIGSLTESSLDFSDVEKERKASDCYSDNGGPPVVILSYPRYCRYRAMMRRLEGVENEYLKYKIVNALGGFTTYTKNTRVLFCKDTFDYPELEGHELLCNHLAPKLKGRPRGKRKKRSVSPGSESNESESSVSNVFNTSKEKINTENVKNGLRCDNTQLRRSTRATENNESKEFMKDLTIFMKTNYSPIGKIPSLGYKELDLYLFYTKVQKLGGYDVVTTNRLWKSIFDDMGGHANSTSAATVIRRHYERFLLPYERHVKGEEYKPLPISERRRLKSKTGSSTSDAETSESTSRSGNSTPVLNSSTPVTPTTPTENKEFNVQAKTSSSLRSVRVKSDRQKDKQTIIQNNNNEPEVKIEDTTHEVVAIKAEEFVPDKDIEPLTSAVAPKAQNPNPEKSHTLEGKENIPIIKTGDTPSKSKSPEVIEVPYNTKTKSPEIIDLESTPTFQEVKKRKLDILKEGGLEVTPVRTVTKEIRPSVIQPVPMKNEMPPPVSVVPTTKKIIPQNIPKTYNYNNGPPKVLQSKSIYSYSEKTVYGNPKDYINPVHTPKFVGSRQHQGDILDLTVTSPQKPVVEIMKIPTPKVPYKMPTNNVLDGRRLGSNLEITLVGSNRQAAAPPTPKYNLPPPTNYQRFTTHKRIASEHHLNHKIPRIDENKYNSKIQIPTLPTPSKSTMDITIPHHTAKIPQIPTPHPQFSYLSHLYESSKNVAPYLPMMDPIYYTAAMQSLYGPLGAAHPPPVPPLPSTEQLKFYSDLMAHTSRLNFHFPIGSDGNPSMLNNNSNSLKKP

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

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