Llin000628.1


Basic Information
Transcription Factor Domain
Sequence Information
Similer Transcription Factors

Basic Information

Insect
Lygus lineolaris
Gene Symbol
ARID4A
Assembly
GCA_030264115.1
Location
JAEMON010000001.1:8704447-8745981[-]

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 1.4e-11 4.8e-08 34.1 0.0 2 46 139 183 138 209 0.83
2 2 9 3.1e+04 -4.0 0.0 60 84 1277 1296 1274 1296 0.68

Sequence Information

Coding Sequence
ATGAATCGTATTCGGAAGAAGTGCGACAGAAGTCGGTCTGTCGTCGATAGAACGGTTATTCATGTCATAAACGAGTTCCGGGGAGCTGGCATTAAGATTCCCAAACCTACGGAGAAAATTCTAAGAACCAGGATCAAGTCGAAACTGGGGTCTCTGGTAGTGGAAGCTATTAAAGACGCTAAGGGGAGCATTGCTACTCAGATCAATCGTAGTGTTAAGTGTGATCTCTCTAGATTCACgaatcagagtgaaaaaattgatgatgctGTCGAAAAAGCATTGCAATTCCTTGACCGAGATGAACTCCCTTTACATTGGGACCGAGACCTATTGTTGTATGGAGTTACAGATCCAGGATCTGATAGTGATCCTGGCGAGGACAATGAgAGTTCTGATGATGAACCTCGAGAGAAGAAGGATCATTTTGTCGCTCAACTCTACAAGTTTATGGATGAAAATGGAACTCCCATAAATGAAGAACCAGTCATTGGAAGTAAAGATGTTGATTTGTTCAGGCTTTACAAGGATAAAACTGCAGACAAATCCTTTCCAACTCTGAGTGAGACAGCAAACCTTAAAGAGACCATGGCCAAGCCTGCAGCGGTGAAGGAAGTAACTCCTGCTACTCTCGTACCAAAAGATAAACCTGTCAATAAAAAATCGGCACAACATGCTACACCACCAATTCAAGTTAAGGTTGAAACCGCCATTAAAACTCCTGCTCGAGAAATCAAGGTTGAAACTGGATTGAAATTGCGCAATCCCAAATATAAAATTGTTGAACCTGAACCCATCATTGTGAAGAAGGAAGGAAGTAAAGAAGATAATGAGGAGTCCGAAGCTGTTTCAGAAAATATAATTGCTGCTTCAAAAGATAAGAAGAAGCGGATCACAACGAAAGATAAACAGAAGAAAGATGTTCCAATAGTGAAAGGAGGGAAGGTCGATTGTCTTGCTAATACTCGACAAAAGCGAGTGATCAAAGAGAGGTTGAAAACCACTGAATCCATCAAAGGGAGAAGCAAAGCTTCTACAACTGTGATTGCGGAAGTTGAAAAGGTTTTGAGCACCAAAGAAGAAAATGGCGAGACTCTTTACTTTGTACACTATACCGGTTGGAACACTCGTTATGACGAGTGGATAAGAGCCAATCGAATTGCTGACAATCTCTCTTGGGTTGCTGGCAAGGcatcaaaaaaacaaacacagGTTCCTACGCCCAAGTCTGCCAAGAAGGAAAAGAAACCAAGTAAGAGTGACAATTCGAAAGGAGAGTGCAAAGCTGGTAGCCATAAAGACGTTACTGGTTCTTCATCTTGTGGGAGCTCCCTCTCCTCGTCCAAAGACCACCAATCAAACAGGCAAGGGTCCGTTGGGCGAAGCACCACTCCATCTTCTATTGCTTCATCCTCAAGCAGAAGCAAAGGTCCCACACATAAGCGACCAACAACCAGAGCTGCCCAAACTAAAAAagATGACGAAACCACTCAGGAGTTTGACAGTGATGGCGGATCAGAACTTGAAGAATCAAAAATGATTGCCCTCGTCAATTCAGAAAATATGGACTTGAATACATTGTCTCAATCAAAGAATAACAAGCATGAACCTTCATCAAGGGATGAGATTTTGTCAGTAGTTGGTATCActctgaaagaagaagaagaagaagacgaggaACATGATGCCAAATCAGAATCCGAAGATTTATGTTTATGTATCTCTCCCGAAAAAAGTGATCCTGTAGATGAAGAATTGAATGTTAAAGTAGAAGAAATTTCGGGAGATGAAATGGACGAAGATGATAACCAAGGTGCAGAGGATGAGACGAAAGAAGACcataacaattttgaagaatgcaCTCAAGTTACTCCTTTAGATGATTCTCAACCACAGGAGCATAAGAAGGATGATCCTGCATCCATCTCCGATTCAGCCGTTGACACTGATTTGGCATGTATTAAATGcgaagaggaggaagaagaggacGAAGAGGAAGAGTACGACGACGAAGATAGCAAGTGTAGAACTGACAGTGAGAATTCAGATCAAGGCGAAGAAAGCGCCTCAGATGAAACACATCCAGAAGACGTGATCACTGAATTAAAAATGGAGGAACCTTCCAGTAATACTGATCTGGAGCAACCTAGCGTTATTACTAAGGAGGAAAAAGAAATAGCTGTTACTACTTCACCCAATGACACAGACACTGAAGATGTTTATGAATTCAAAGAACCCGAGCCTTTTGAGTTTGAAGCTCGCAAGAGTTCGGATGACAAGTCAAAAGCTGTGAAAAGAGCTATTACTCTTTCATTGGATGATAAACCATCGTCTCCCAAGATCAAGAGGAGTCAATCACCTGCTGGTTCAGACTCTGCGAAAACTTCCACATTTGAAACTCCTACCGATCTTCTGAAGGATGATACTTCACCAGAAAGTACCCCTACCATCCAAACCTGTGAGGAAGCTTTTGATAAAATATGTGCATCTCCTTTGAGAGCAGCTGCTCTTGATTCACGTCACATAGCTATGTTGGAACATTTAGAGAACTATGAAGATGATGACAATTTTGATGATGATAGTGAGGATCGTCTCGTGATATCAGAACGAGATAGCGATAATTGTAGCAATACAAGTTTTGATAAGGACAGTGAAATCCTTGCTGCCGAGTACAGCAATTCTGCTACTGAAGTGAACGAACGCAAAGCATCGCCTCACCATGATGCACAAAGCAAGGAACCATTCCCTAAAgacaatgatgatgatgacgaggAAATGGAAGACGAAGCCATTAACAATGTTATTCAGACTGTTATGAATCTAGAAACCTCGGATGATTCTTCAGACGAAGAAACTATGCCAAACGAAGAGAACACTGTGGTTATGACTGAAGTTGAATCAGTTAAAGTGGAAGACAATGAAAGTAGTTCTGAAAATCAAGATCTTAAAAATTCGCCTTCCAATGAAGAAGAAACTAAAGCTGATGACATCTCAGGGACAGATGAGAGTCCTCCACATTTGGTTGATGAAACTGTAGACAGAGTCGAGGCACCTATCGAGATGGAAGATGAGACCAAAGGAAGTGGTGTTGATACTTGCCCTGCTGCTGATAAAATCGAAGTAAACGAAACTTCAAAAGAAGATGATGGTGAAATGATTGTCGTTTTAAACAATTGTGAAACTGCAGATATTGAAgaggatgaaaataatattgaatctCTCATATGCGAAGAAACCATACCTGGCAGTCCTCCATCACACTTGGAAGTTCTTAACCAGATTGAAGAAAAACGTCAAGCAGCTGGAGAGGATCTTTTCAAGGGTGGTTGTGAGATGACTCCATCGGGAGGTTTGAATGAGCAAGATGCAACACAGCAACTCGTACAAGTGGTCCGAGTTGAGAGATCTCCACCAATGACCCCTGAAAGTGATGCATCTTCACCACCGTCTCCTCCTCGGGAGTTGGAATTGAATACACCACTCCAGGAGAAAAAGTCAGAAAAGGAAGCAGAGGATGAGACTGGTGGTATGAATGAGTCGTCATCGTTCAAAAAGGAGAGCAATAAAATACAAACCACCGATGCTCGACCTAAAAAGGTAGAAGTTAAAGCTTCTACCAAAAGAGGAAGGaagtcgaagaagaagaatgacgATTCCAATACCCGGAAGAAGTATGCGAGACATTCAAAACATCAAGGAAGTGAAAGTGATGATGGTTACGATGTTACTGCAGGGGGTAGCAGAGCTGACTCCTCTCGTTCAAGATCACCTCACCCATACCACCAAAATTTCCTGATACCAAATGATAAACTCTCGGCTCTTGACGTTGGTCAGAGGATTGGTCACATAACCCAAGCAATGCAAGACCTTAGGTCTACCTACAACAACTACAAGACTGAACTTGCTTCAATAGACAAACGACGCAAAAGGATCCGGAGGAGGGAAAGAGAAGTTGCAGCGCGTCTGGTCAATGCTAGAAGTCACTAA
Protein Sequence
MNRIRKKCDRSRSVVDRTVIHVINEFRGAGIKIPKPTEKILRTRIKSKLGSLVVEAIKDAKGSIATQINRSVKCDLSRFTNQSEKIDDAVEKALQFLDRDELPLHWDRDLLLYGVTDPGSDSDPGEDNESSDDEPREKKDHFVAQLYKFMDENGTPINEEPVIGSKDVDLFRLYKDKTADKSFPTLSETANLKETMAKPAAVKEVTPATLVPKDKPVNKKSAQHATPPIQVKVETAIKTPAREIKVETGLKLRNPKYKIVEPEPIIVKKEGSKEDNEESEAVSENIIAASKDKKKRITTKDKQKKDVPIVKGGKVDCLANTRQKRVIKERLKTTESIKGRSKASTTVIAEVEKVLSTKEENGETLYFVHYTGWNTRYDEWIRANRIADNLSWVAGKASKKQTQVPTPKSAKKEKKPSKSDNSKGECKAGSHKDVTGSSSCGSSLSSSKDHQSNRQGSVGRSTTPSSIASSSSRSKGPTHKRPTTRAAQTKKDDETTQEFDSDGGSELEESKMIALVNSENMDLNTLSQSKNNKHEPSSRDEILSVVGITLKEEEEEDEEHDAKSESEDLCLCISPEKSDPVDEELNVKVEEISGDEMDEDDNQGAEDETKEDHNNFEECTQVTPLDDSQPQEHKKDDPASISDSAVDTDLACIKCEEEEEEDEEEEYDDEDSKCRTDSENSDQGEESASDETHPEDVITELKMEEPSSNTDLEQPSVITKEEKEIAVTTSPNDTDTEDVYEFKEPEPFEFEARKSSDDKSKAVKRAITLSLDDKPSSPKIKRSQSPAGSDSAKTSTFETPTDLLKDDTSPESTPTIQTCEEAFDKICASPLRAAALDSRHIAMLEHLENYEDDDNFDDDSEDRLVISERDSDNCSNTSFDKDSEILAAEYSNSATEVNERKASPHHDAQSKEPFPKDNDDDDEEMEDEAINNVIQTVMNLETSDDSSDEETMPNEENTVVMTEVESVKVEDNESSSENQDLKNSPSNEEETKADDISGTDESPPHLVDETVDRVEAPIEMEDETKGSGVDTCPAADKIEVNETSKEDDGEMIVVLNNCETADIEEDENNIESLICEETIPGSPPSHLEVLNQIEEKRQAAGEDLFKGGCEMTPSGGLNEQDATQQLVQVVRVERSPPMTPESDASSPPSPPRELELNTPLQEKKSEKEAEDETGGMNESSSFKKESNKIQTTDARPKKVEVKASTKRGRKSKKKNDDSNTRKKYARHSKHQGSESDDGYDVTAGGSRADSSRSRSPHPYHQNFLIPNDKLSALDVGQRIGHITQAMQDLRSTYNNYKTELASIDKRRKRIRRREREVAARLVNARSH

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

100% Identity
-
90% Identity
-
80% Identity
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