Basic Information

Gene Symbol
ARID4B
Assembly
GCA_944547385.1
Location
CALYMV010002937.1:1-29566[+]

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 1 1.2e-29 8.3e-26 91.4 0.1 1 89 293 379 293 379 0.96

Sequence Information

Coding Sequence
AACGACGATCCGGCGTTTCTTTCGGTCGGGACGGATGTTAGTGCCAAGTATAAAGGGGCATTTTGCGAGGCGAAGATCAAGAAAGTAGTGAAGAATATCAAATGCAAGgtaACGTTAAAAAGCGGTGGCGGAGGTACATTGGTGGTACCCGATGATGCTATTAAAGGGACGCTTCGTGTGGGAAATACTGTGGAAGTGCGAAACGAAGCGAAGAAAGAAACCGCGGAAGCTATTTTGACTAAAATTCAGGATTGCAGTCAATACACTGTCGTATTCGACGATGGCGATATAACAACTCTGAGGCGGTCTGCCCTGTGCTTGAAGAGCGGAAGACACTTTGCTGATGGAGAGACTCTCGATCAGCTCCCATTGACGCATCCTGAGCACTTCTCATCGCCTGTCATTGGACATAGTGCTGGACGACGGGGCCGACGGGCTCAGAGGAGCCAGTCGGAGGAGCGGCGCGCGTGGGAGGGCGAGGGCTGGGTGCGGGAGCGGGAGCCGCACGCGGGCCGCGTGGTGCTGGTGGAGGCGGCGGGCGGCCCGCAGGAGCGGCGGCGCCCGCAGCCGCCCTGGTTCCCCGGGCTGGTGGTGGCGCCCACCGCACAGGACACCGTCAAGATCCGCATCCAGGACGACTACCTCGTGCGCTCCTTCAAGGACGGCCGATACTACACTGTTCCCAAGAAGGAAGCCCGCGAGTTCAAGAAAGGCAGCGGTCCTCAAGACGTCGCTGGAATTGAAGCGGCTttgcagtacttaaatgctggTGTTTTGCCTCCACATTGGGATCGCGATGTGCTGTTTGGCACTGATCAAATCGGCAAGAATGACGATGGCAACTCCGATGATAGCTCAGATGACGAACCCCGCGAGGAGAAAGACCACTTTGTGGCGCAGCTTTATAAATTCATGGATGATCGTGGAACGCCACTCAACAGACAACCGACCATAGCCAATAAGGACGTCGATTTGTACAGGCTCTTCaagGTTGTGCACAAAATGGGTGGATTCAACCGAGTGACCAATCAAAATCAGTGGAGAAGCATTGCCATAAGGCTTGGATTTCAACCTGTGTCGACCAGCGTTACTAATCTATGTAAACAGGCATATAAAAAGAATCTCCACAGCTTCGAGGAGTTCTATCGGAAATTGGGGGTGACCTTGGTGGCTCATCCTCGCGGGAGTCGCCAGGCGCCGGCGGGACGCAGCCTCATCAGGGACCGAGACAGGGCGCCCCCCACCCCTGGGGGGCCCCCCGCGACCCCTCCGCCCCCCCTGGCCGCCCCCCCGGTAGCCGCCGCCCCAGTCGCCGCCCCCACGCCTGCTGCCGCCCCGGTCACCGCCCCCCCAGCGCCCCCCACGCCCCCTGCCGCCCGCCCCCCCATAGCCCCGGACCGCCCGCCTGAAGCGCCACCGgAGGAACCAAAACCCGCAGCAAAGGTGGAAAAAATTGTAACGAGCGACGAAGATGACAGCGGTGATAGTAAACCTCTCGCAATCGCAAGAGCGGAGAAACCGGTAAAAATAACGAAACCACCCCCTGATAAACCAGAAAAGGCCGCATCTACCAAGTTATCCGAAAAATCTGTACCCTCAAAACCGGATAAAACTTCCACCCCGAAAGCGTCTGATAAACCGTCATCGAAATCGACCGATAAAGTAACAACGGCAAAATCATCCGAGAAATCGGCTGTCAAAACTGAGAAGTCTACCATTGTAAAAGCGGAAAAACTTGAAAAAACCAAAGCGTCCGAGAAAACTGCACCGCTCAAAGCCGAGAAATCTACACCACTTAAAACCGAGAAATCTACACCACTTAAATCTGAGAAATCTGCACCGCTTAAAACCGAGAAATCTACACTGCTTAAAACCGAGAAATCTACATCGCTTAAAACAGAGAAATCTACACCGCTTAAAACCGAGAAATCTACACCGCTTAAAACTGAGAAATCTAATACGTCTAAAACGATCGAGAAAGTTTCCAATTTAAAGTCGTCGGAAAAATCAGCCACGCCTAAACCTGAAAAGAGCGGTTCGAGCAAATCGTCCGAGCGCTCCGCTCCGACAAAAGTGACCTCCGAGAAAGTGGCTGCGGCTAAATCGGAGCGCACAGCCCCCCCCACCAAGGCCGTTGAGAAAACGACCGCTCCCAAACAATCGGACAAGCCGACGCCGAAACCCGAGCGCGTTTCCCAATCGAAAAGCGCCGAGCTGCCGCCGGCCTCCGCTCCCAAGCCGCTCGAGCGCTCTAGTTCCACAAAGTCGCTGGAGCGCTCCAACTCGTCCAAGTCGCTGGATCGCGCGCCGAACAAGGCCAAGAAACCCGAAGAAAGCCTCCCCAAGAAAGTGGACAAGAAGGCCAAGAGCGAACCCGTCAAAGAGGAATCGGACAATGTCGAAACTCGGCGCAGGAGCATCGGTAAACGGGAAGGGAAACAAGAATCATCGGAAGATTCTTCTCTGGCACCCAACGCTAAAAGAAGAGCTTTGATTAAAGATCGTCGAAATCGGTCAACTTCAGCAAAACGGAGTCTATCAGAAAAGGACAAACCGAGGACTGCAACATCTTCGGAGAATCAGGACAGTGACAGCTCAAGTAGAGGCAGCaggtag
Protein Sequence
NDDPAFLSVGTDVSAKYKGAFCEAKIKKVVKNIKCKVTLKSGGGGTLVVPDDAIKGTLRVGNTVEVRNEAKKETAEAILTKIQDCSQYTVVFDDGDITTLRRSALCLKSGRHFADGETLDQLPLTHPEHFSSPVIGHSAGRRGRRAQRSQSEERRAWEGEGWVREREPHAGRVVLVEAAGGPQERRRPQPPWFPGLVVAPTAQDTVKIRIQDDYLVRSFKDGRYYTVPKKEAREFKKGSGPQDVAGIEAALQYLNAGVLPPHWDRDVLFGTDQIGKNDDGNSDDSSDDEPREEKDHFVAQLYKFMDDRGTPLNRQPTIANKDVDLYRLFKVVHKMGGFNRVTNQNQWRSIAIRLGFQPVSTSVTNLCKQAYKKNLHSFEEFYRKLGVTLVAHPRGSRQAPAGRSLIRDRDRAPPTPGGPPATPPPPLAAPPVAAAPVAAPTPAAAPVTAPPAPPTPPAARPPIAPDRPPEAPPEEPKPAAKVEKIVTSDEDDSGDSKPLAIARAEKPVKITKPPPDKPEKAASTKLSEKSVPSKPDKTSTPKASDKPSSKSTDKVTTAKSSEKSAVKTEKSTIVKAEKLEKTKASEKTAPLKAEKSTPLKTEKSTPLKSEKSAPLKTEKSTLLKTEKSTSLKTEKSTPLKTEKSTPLKTEKSNTSKTIEKVSNLKSSEKSATPKPEKSGSSKSSERSAPTKVTSEKVAAAKSERTAPPTKAVEKTTAPKQSDKPTPKPERVSQSKSAELPPASAPKPLERSSSTKSLERSNSSKSLDRAPNKAKKPEESLPKKVDKKAKSEPVKEESDNVETRRRSIGKREGKQESSEDSSLAPNAKRRALIKDRRNRSTSAKRSLSEKDKPRTATSSENQDSDSSSRGSR

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

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