Basic Information

Gene Symbol
-
Assembly
GCA_016906905.1
Location
JAFDUZ010000018.1:113493-124570[+]

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 7.6e-05 0.031 14.8 1.2 34 64 120 150 109 151 0.87
2 2 4.1e-05 0.016 15.7 0.9 31 60 538 567 528 571 0.89

Sequence Information

Coding Sequence
ATGAGACCTCCGACTACTGGCCAATGGGTCGGATTCTTGAAAGCCAAACAAGATCTGGCTAAGAAGAAGGCGGCCGCGGACTATGAGGAGGCCGTTAAAAAGTTAGAGAAGAAGGCGTATGCGACGCGAATTGCAGTCCAAGGCAAGCGTACTGAGCGCCCGCGGGAAGAGCAGCCGCTCACTTGCGCAACGTCGGAGGAGCTGCACAACGCCATCGAGGCGGAGTGCGGGCTCATTGCGCAGGCGGCGGCAAAGTCTTCCCACCTTAAAGGGCAGATCCTGCGAACATTTAACCTTAGTGTGGCTGCCATTAAGGAAAGGGCAGCGGAGCTAGCTTCGCTGACTTCGACGGAAGAGACGCGTCGGGTCTTTAAGGAGAACGCGCGACTCAAGGGTGAAGTGGCGGAGCTGCGGCAAGAAATTGCGCAGCTCCGAGCGGAAGTGCGGGCGAGAATCCCTGCCGCACCACTGACCCCTGTGGAGACCGCAGTAGTTCCTGCGGCTCGTCCGGGCCTGGGGCCGGCTCCTCCGGCTGACAAAGAAGAGTGGATGCGGGCGGCCATGCTGCAAATAGGCAACATGGTGAACGCCCGCATCGAGTCTTTGGAGGCAAGACTGAGCTTGCCTCCCGAGCGGCTGCGTCCGCCGTTGGCTGCCGATGCCAAGGCGGCAAAAGCGGCGGCCAAACAGCCCAAGACAGCTGTCAGGGGAAAGAAAGCTGCTGACCCCAAAACGAAGGGTTCTCAGAACTCAGAGACGGCAGTTGTCTCGAATACTGGTGACGGGGCCTGGACCTTGGTCACCGGTAAGAAGAGGAACAAGAAGAGGTCGGCCCCAACACCGGCGGCTCAGCCGTCGTCGAAAACGACGAAAAGGAAAGGGCCCAAGAAGTCCAAGAAGGCGAAGATCAATCGCAGGGCGAAGCCACCGCGCACTCAGGCGGTGGTGATAGCCGCGTCGCCGGAGGAGAAGGCGAACTACGCCGACATCCTCAAGAACGTGCGGGACCGGGTTAACCTGGCCGACCTCGGTATCGAGGGCGGCTTCAATTCCGGGGGTGCGGAGGCGGTATCCGCCCAGACCGCACCATCGGTGGTTGAGGACAGGTCGTTTCTGTCAGAGACGACCACGGACTCAGAGGCGACGGCGGGAAGCAAGCGAGGTCCTCGCAAGCGATCCCGTTCTGGATTACGAACATGCGACGGGGACTCCGACTCCAGCGTGGAGACGGAGGTCGAAGTCCCGAAGCAGAAGAGAGGCAGGGGAAGGCCTCCTACAACAGGAAAGTGGGTCGGGTTCCTGAAGGCTAAAACGGATCTAGCCAAGGCTAAGAAAGATGCCGAGTACCAGGAAGCCGTACAAACTATGGAAGAGCGGGTGTATGTGACGCGAAAAGAGGTGGAGAAAAAGCGTGTTGCATGCCCCAACGACGAGAAGGCGATCACTGTCGCATCGGCGACTGAGCTGCACAACGCCATCGAGGCAGAGTGCAGCCTCATTGCGGAGGCTGCGGCAAAATCGTCGCACCTTAAAGGTCAAGTCATGAGGACCTTTAAGCAGAGCGTTGCCTCGATCAAGGAGCGAGCTGCTGAGTTGTCCTCGCTGACCACGACTGAGGAGACGAGGCGGCTCTTCAACGAGAATGCGCGACTCAGAGCGGAGGTGTCAGAGTTGCGCCAGGAGATTGCGCAACTTCGGACGGACCTATGGACCAGACCCGCTCCAATCGCACCACCTAGACCTAGTCCAACGGCCATGGAAACAGAGGCCACTCCTAAGGTGCTTCCGGGCGAAGCGTCGGTCCAACCTGCGGACAAAGATCAATGGATGCGGGCGGCCATGCTAGAGATAGGGAGAATGGTAAACGCCCGCATAGAATCACTGGAGGCCAGGCTTAACCTGCCTCCCGAGAGAGTGCGCCCACCGCTGGCCGCCGATAGCAAGGTGGCCAATACAATGGCCAGGCAGCCTACGCTGCAAAAGAAGAAGAAGTCTGCGGGCCCCCAGAACAAGGGTGTCCAAAGCGTGCCGGAGGTGGTAGCACCTCCAGTCACGAACGCCGGTGATAGGGCCTGGACCCTGGTCACCGGCAAGAAAAATAAGAAGAAGTCGGCTTCTAAACCGACCACGCAGCCGCCACCCAAGGCCAAAAAGAGGAAAGGACATAAGAAGCCCAGGTCCAAGCGTGCCGTGAAGCCTCCGCGCACTCAAGCAGTGGTGATTGCCGCGCCACCGGAGGAGAAGCTTGACTACGCCGAGGTTCTCCGGAATGTACGGAGTCAAGTGAACCTGTCCCAATTGGGCATTGAGGGCGGGTTCAAGTTCCGCACGACGGCTACCGGCGCGCGGCTCCTAGAGATGCCAGCTGCCGTGACGGCGGAAAAGGCAGACCAGCTGGCGATCCAGATAAAGATGGCCCTCCCGGAGACTATGAGAGTCGTCCGGCCACATAAAACGGACGATCCACTCGTGGAGGCGTCCAGGCGTCGGAGGACGGGGCAGCGTAGGAGGTGGTGGCACCAAGCTACGCTGCCCTAG
Protein Sequence
MRPPTTGQWVGFLKAKQDLAKKKAAADYEEAVKKLEKKAYATRIAVQGKRTERPREEQPLTCATSEELHNAIEAECGLIAQAAAKSSHLKGQILRTFNLSVAAIKERAAELASLTSTEETRRVFKENARLKGEVAELRQEIAQLRAEVRARIPAAPLTPVETAVVPAARPGLGPAPPADKEEWMRAAMLQIGNMVNARIESLEARLSLPPERLRPPLAADAKAAKAAAKQPKTAVRGKKAADPKTKGSQNSETAVVSNTGDGAWTLVTGKKRNKKRSAPTPAAQPSSKTTKRKGPKKSKKAKINRRAKPPRTQAVVIAASPEEKANYADILKNVRDRVNLADLGIEGGFNSGGAEAVSAQTAPSVVEDRSFLSETTTDSEATAGSKRGPRKRSRSGLRTCDGDSDSSVETEVEVPKQKRGRGRPPTTGKWVGFLKAKTDLAKAKKDAEYQEAVQTMEERVYVTRKEVEKKRVACPNDEKAITVASATELHNAIEAECSLIAEAAAKSSHLKGQVMRTFKQSVASIKERAAELSSLTTTEETRRLFNENARLRAEVSELRQEIAQLRTDLWTRPAPIAPPRPSPTAMETEATPKVLPGEASVQPADKDQWMRAAMLEIGRMVNARIESLEARLNLPPERVRPPLAADSKVANTMARQPTLQKKKKSAGPQNKGVQSVPEVVAPPVTNAGDRAWTLVTGKKNKKKSASKPTTQPPPKAKKRKGHKKPRSKRAVKPPRTQAVVIAAPPEEKLDYAEVLRNVRSQVNLSQLGIEGGFKFRTTATGARLLEMPAAVTAEKADQLAIQIKMALPETMRVVRPHKTDDPLVEASRRRRTGQRRRWWHQATLP

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

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