Basic Information

Gene Symbol
Nfil3
Assembly
GCA_951812925.1
Location
OX638373.1:2730036-2732996[-]

Transcription Factor Domain

TF Family
TF_bZIP
Domain
bZIP domain
PFAM
AnimalTFDB
TF Group
Basic Domians group
Description
bZIP proteins are homo- or heterodimers that contain highly basic DNA binding regions adjacent to regions of α-helix that fold together as coiled coils
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 1.8e-13 4.2e-10 40.7 3.1 2 52 190 240 189 250 0.91
2 2 0.42 9.7e+02 1.1 0.1 15 42 787 814 786 817 0.79

Sequence Information

Coding Sequence
ATGGTCGCAGAATTTGTGGCTCGTCAACACTCAACTGGTTCACCCATTAACGGTGAGACCCCAAATCAGCATTATAGCAATTCGGATATGCCAGACACAACATTAGGCATTAACAATAAGCCAATAACAATCACAACTGCAATTACaaaggcaacaacaacatcagtaTCCGATCCAATAAAAATGAACGGCATGCACCATCacaatcagcagcagcagcatctcCATTTGTCATGTATTTCACCAGCGCTATCGCTTAACGGTAGCACAAACGGCACACTTAGcgGcattcacaacaacaacaacaacaatagtaatATGCTGCTGAGCGGCCTACATGAACCGATGAGTCCACAATCAAGTGATGGGGGTAATAGCATGTCTGAGCATGTCCATCATTTGAACAGTAACTCGTCCAGTAGCAGCTGCAGCAAATACGGCAGCGGCGGTGCTTCTCCGAACGGCTCTAGTTATGACATGCAACACATGACCAaggcacaacaacaacagcacaagGAACTTTTTACTCAACGAAAGCAACGTGAATTCATACCGGACAATAAGAAGGACGATAGCTATTGGGATCGTCGTCGGCGCAATAATGAAGCAGCAAAGCGTAGTCGCGAAAAGCGGCGCTACAATGACATGGTTCTGGAGCAGCGCGTTGTTGAATTGACAAAGGAAAATCACGTTTTAAAGGCACAGCTTGATGCAATCAAAGATAAGTTCAACATATCGGGTGAAAACTTGGTGAGCGTTGAACAGATAATGGCGTCATTACCCACAAGTGAGCAAGTACTAAGCATCACTAAGCGCGTAAAGTTGAGCGCCTCAAACGGCAGTAATAATAACAGTTTGGTTTACAACGGGATTGATATGGCAACATCTCAGCCAGAACTGCAGCCGctatcacaacaacaacaacaacaaaagcagcagTCATCAGATAATGTAAAACTGAATTCCGGTGAATTCATTACTCACGGCAAACAGCagcatttttctaaaaacaacAACCTTACGCACTTGGCAGCATTGCCGAACTTGCACAACAATCATTTGCCACTCGTAGGCAACCATAACTCCGTCCAGAACTATGGAGCACAACAGCATCCAATACCACAAAGTTTAACGCACCCATATGACGTTGGCAGCCAAGTACTGTCCGCGTCCTCTACAACAACAGATACGTGTGAGTCCAGCAGCGGTGGCAACATAAGAACATCGCCAGCATTACCCAACATCCTTCCTAATTCACCCACTTCCACGACATCATCGCCATTGCTTGATGAAGTTCAACCACTGTATCATCAGCACCAAGCAGCACAACTACATAGCACCCAGAGTCAGCAGTTTCATCATTCCGCtcaccatcatcatcacaaTAATCATAATGTTACACTGCAAAATCTGCAAGTTTTAAAGGCGCTTAATCGCAATGTCAACGTGACCGGAGACGAAATCGATAATCTGCGAAAAGTTGTGGCAGTCGTTGGTGCTATAACCGCTAATGCCAGTAACGGCAATGCAGGCGTTGTCGTTAATAGTGGAAGCAGCATGCATGCGGTTACTGCACAATCATCACCACATCCATTTGCACACAAACAGCATCCATACCACTATACCGCTGCAGTTACGGTCGCTGcaacaaaaagttcaattacTGGTGTTCAGCAGTTAAATCGCTGTCAACGTGCCACTTCACTGACACCGCCTACACCATCTACATATATCGGTGCTAATGTTAGTGCTGCAGGGGACGTTGCAGGTTGCTCATTAATGTCATCAGCATCTTCCTCAATGGAAGGTTCGCCTATTTACAGCGATACGTGTGCTGCTGTTGCAGCAAGCGTATTAAATCTCTCCCGGCGAGCCTCATCCCCTAGCAGCTATGAATTAATTCTTTCGTCGTCTTCTGGGGCATCATCTAGCTTATCGTCCTCTGTGTGTTCTGGTGTAATTTCCGGCGATGACGAAGAAGTAGAAAATGCAGCGGCAAAGACAGCAGCAACAGTTGGTGCAACTACAGCAAATGTCAACACAAGGAATGCGGTGTCTTCTAGcggtaacaacaacaatgatggTAACAACAGTCTGCCGCTGAAATTACGCCATAAGTCACATCTTGGCGATAAAGATGCCGCTGCAACGGCGTTGCTTGCACTGCAGCACATTAAGCAGGAACCAATCAGTAGCTGTCGCCTATCACCACCATCATGGGGCGACAATGCTGATAATTCCGGTGATGAACGGGACTCTGGTATTTCGATTAGCAGCAGCGAATGGTTTCAACGCAAAATTATGCTACCCTCATCTGTGGACAGTTGCACGAATACAGTAGTGGCTACCGCAGCGGTGGCGGCAACTGAGAGCAGCGTCACAGCAGCCGAACGTGAGCACATTTTAAAATCTCAATTGGCGCGGCTAGAAAGCGAAGTGGCTAACATTAAAATGATAATGACAGCAACAAGACCAACTACTGCAGCAACTGCGACAGTACAATAA
Protein Sequence
MVAEFVARQHSTGSPINGETPNQHYSNSDMPDTTLGINNKPITITTAITKATTTSVSDPIKMNGMHHHNQQQQHLHLSCISPALSLNGSTNGTLSGIHNNNNNNSNMLLSGLHEPMSPQSSDGGNSMSEHVHHLNSNSSSSSCSKYGSGGASPNGSSYDMQHMTKAQQQQHKELFTQRKQREFIPDNKKDDSYWDRRRRNNEAAKRSREKRRYNDMVLEQRVVELTKENHVLKAQLDAIKDKFNISGENLVSVEQIMASLPTSEQVLSITKRVKLSASNGSNNNSLVYNGIDMATSQPELQPLSQQQQQQKQQSSDNVKLNSGEFITHGKQQHFSKNNNLTHLAALPNLHNNHLPLVGNHNSVQNYGAQQHPIPQSLTHPYDVGSQVLSASSTTTDTCESSSGGNIRTSPALPNILPNSPTSTTSSPLLDEVQPLYHQHQAAQLHSTQSQQFHHSAHHHHHNNHNVTLQNLQVLKALNRNVNVTGDEIDNLRKVVAVVGAITANASNGNAGVVVNSGSSMHAVTAQSSPHPFAHKQHPYHYTAAVTVAATKSSITGVQQLNRCQRATSLTPPTPSTYIGANVSAAGDVAGCSLMSSASSSMEGSPIYSDTCAAVAASVLNLSRRASSPSSYELILSSSSGASSSLSSSVCSGVISGDDEEVENAAAKTAATVGATTANVNTRNAVSSSGNNNNDGNNSLPLKLRHKSHLGDKDAAATALLALQHIKQEPISSCRLSPPSWGDNADNSGDERDSGISISSSEWFQRKIMLPSSVDSCTNTVVATAAVAATESSVTAAEREHILKSQLARLESEVANIKMIMTATRPTTAATATVQ

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

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