Basic Information

Gene Symbol
Nfil3
Assembly
GCA_035044505.1
Location
JAWNNX010000016.1:228668-232605[-]

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 5.6e-13 5.7e-10 39.2 3.8 1 53 282 334 282 343 0.92
2 2 0.5 5.1e+02 0.9 0.0 44 57 811 824 806 829 0.45

Sequence Information

Coding Sequence
ATGTCGATTGTGTGCATGGTGGAGCAGAAGTTCAATATTATAAAAGAGGCTTCAACgaccaaaaatttgtttatacttaaaaatatatacaaaagcagcaaaaacaacagcaacatcatccacaacaacatcaataacaacaacaacaacaacaacaacaacaatattaataagtaCACGGATAAACTGTACATCAACAATCAAAGTGAATATAATACTTTGGCatcagcaacaaacaacaaggcACTATATAAACGTAAGGTATATGAAGAGCAAAGGAATCAAAGTACGGATCAGCATTTCGTAGACAGCGACTACTTAACCCGAGAACTGCTTAAGTTAAAATCTGTTGCACTAACAcaggcgcagcagcagcagcaggaaaggAAGCAGGAGAACGGGAAAGGGAATTTTTCTTTGGCAAGGAAAGCAGCGGTAATGCCTGAAGTGCTTACCGGAACTCCAACCCACGGTCAAAACAAAGTTTTAGCCGTGGCTGAATCGGTGTCCGCCTCCATGATGAGCTCCGTGCGATTGACTACAATTTCACCAACGCTGTCAATAAACGGCAGCTCCAATGAAGCCACAAATCTGCATCCACTTTCAATGTACGGAGGATCGATAAGCCCACAGTCAAATGACAGTGGTATTTCAGACAGTCAAAGCCACAGCCTGGGAAAATTTGTTGCAGGCGCAGTCTACGCAGATAATCATAACCACAGCCTCATGGGTAAGCCAACTGGACAGAGCGGTGGCGCCGGTGCTTCACAAACAGCCCTTACGGCTGCACAAAAGGAACTTTTCTCACAACGCAAGCAAAGGGAGTTTACCCCAGACAACAAGAAGGACGAGAGCTACTGGGATCGGAGGCGGCGAAATAATGAAGCCGCTAAGCGCAGCAGGGAGAAGCGAAGGTACAATGACATGGTCCTTGAGCAGCGCGTTATTGAGCTGACCAAAGAGAATCATGTGCTCAAGGCCCAGCTGGATGCTATCCGTGACAAGTTCAACATATCTGGTGAGAACTTAGTGAGCGTTGAGAAGATCCTTGCATCCTTGCCCACCAGCGAACAGGTGTTGAGTAACACAAAGCGCGCAAAGATAAGTAATGGCAACAATACTTGTTCCTCTTCGTCCTCGGGCTCCTCGCCAAATAGAGCCAGTACCGGTCGCAATTCGCCGAACGGACATCCACTCAACGTatacggcagcagcagcgccactCCCCTCTCGCCCATCATTTATGGGTCCAATGGAAATAGCAACTCTGTCAACCCACGTTCCAATGAGACTTTGCTATCAAACAGTCAGTCCAACAAGAATGTACACTATATGCCACAGCATGGGCCACCTCCGCCGGCTCCAGCCCACCCGCACTCTCACTCCCAAGCGCAggcgcagtcgcagtcacagtcacagtcgcatttgcactcacactcacactcataccctTGCCAGTCGCTTCAGCAACAGTCGAGCCTGCAAGTGGCGTCACAGGATGCCGATTTGTCTGCAATGGATGTACACAACCGCCCGCCTAGTAATGCCATGGCCAACTTGCATGTGTTGCAACAGGCACTGCACCGGAATGTGAGACCTGAGGATCTGGATAGCCTGCGTAAGGTAGTAGCCGTGGGAGCGCTCTATAATGCAGCCTCTGTTGGGTCGTCGCCGCCGATCGGTGCGAATATCTATGGCTCTGGTGCATTGGCTGCCAACGTTCCCACATCTGCCTACGTAGCGGTTAACAAGGATCAACTGGACGTGGCCAGTTACCTACACGGCCAAAGCATTGACGGCGGCGTTACAAGCAGTGCTGTGGACGCAGTGAGCAGTTCCAGCTCCCCAGTAGTCAGCTCTGCGGCCGCCAGCGTTCTCAACCTATCACGGCGTGCGTGTTCCCCCAGCTTTGAGCACATGCTCTCCTCAACTACTTCTTCGTCACATCACTCTTCCTCATCCTCAGTGCTATCGTCGTCTGCCTCATCGTCAGGAGCAGTTTCCGGTGATGACGAGCAAGAACAAGACGTCTCAGACGAAAAAGTTCGTTCGCAACCAcatgtcctttcacatgaaTCGCACTTGGCTACTCTGCAGCGAAACAGCCCTTCACATGGCGGTGGTAATGTTAGTGATGCCAACAACTGCTTGCCACTCAAGCTGCGCCACAAATCACATCTGGGCGACAAGGATGCGGCCGCAACGGCTCTGCTCTCGCTGCAACACATCAAGCAAGAGCCCAGCTGCAATCGGGCCTCGCCACCAGCCTGGAATGACAACGGCGACAACTCAAGTGACGAACGTGACTCCGGCATATCTATTGGAAGTTCTGAGTGGACAGCCCAGTTCCAGCGGAAGCTGCACAATCCAAAGGACACCACTAAGTCGTCCGCAGTTGGCAGCGTGTCCAATGTTGGGCGCGATCAAATGCTAAAGTCGCAACTGGAACGCCTCGAGTCGGAAGTGGCAAGCATTAAGAGCATGATGATACTCGGCGAGTAG
Protein Sequence
MSIVCMVEQKFNIIKEASTTKNLFILKNIYKSSKNNSNIIHNNINNNNNNNNNNNINKYTDKLYINNQSEYNTLASATNNKALYKRKVYEEQRNQSTDQHFVDSDYLTRELLKLKSVALTQAQQQQQERKQENGKGNFSLARKAAVMPEVLTGTPTHGQNKVLAVAESVSASMMSSVRLTTISPTLSINGSSNEATNLHPLSMYGGSISPQSNDSGISDSQSHSLGKFVAGAVYADNHNHSLMGKPTGQSGGAGASQTALTAAQKELFSQRKQREFTPDNKKDESYWDRRRRNNEAAKRSREKRRYNDMVLEQRVIELTKENHVLKAQLDAIRDKFNISGENLVSVEKILASLPTSEQVLSNTKRAKISNGNNTCSSSSSGSSPNRASTGRNSPNGHPLNVYGSSSATPLSPIIYGSNGNSNSVNPRSNETLLSNSQSNKNVHYMPQHGPPPPAPAHPHSHSQAQAQSQSQSQSHLHSHSHSYPCQSLQQQSSLQVASQDADLSAMDVHNRPPSNAMANLHVLQQALHRNVRPEDLDSLRKVVAVGALYNAASVGSSPPIGANIYGSGALAANVPTSAYVAVNKDQLDVASYLHGQSIDGGVTSSAVDAVSSSSSPVVSSAAASVLNLSRRACSPSFEHMLSSTTSSSHHSSSSSVLSSSASSSGAVSGDDEQEQDVSDEKVRSQPHVLSHESHLATLQRNSPSHGGGNVSDANNCLPLKLRHKSHLGDKDAAATALLSLQHIKQEPSCNRASPPAWNDNGDNSSDERDSGISIGSSEWTAQFQRKLHNPKDTTKSSAVGSVSNVGRDQMLKSQLERLESEVASIKSMMILGE

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

100% Identity
-
90% Identity
-
80% Identity
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