Basic Information

Insect
Leuctra nigra
Gene Symbol
cnc
Assembly
GCA_934046545.1
Location
CAKOHC010001053.1:106374-110543[-]

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 1 1.4e-15 2.6e-12 47.7 5.7 3 65 220 282 218 282 0.96

Sequence Information

Coding Sequence
ATGATCGGCTGTACTACTAGGATAATATTTTATTCGATTGTCTGTCTTTGCAGGAAGTATCGTCCTTATGACTACAGTTACTCCGGGCGTAAACACTCGAGCGCTCCGGTGGGACCTTCCGACACTTCACACAGGATGCCTCCAATGGCACAAAAGAAGCACCAAATGTTTGGGAAGAGATACTTTCAAGGCTCAGATGGCACATCTTTGGGTAGTCATGGGGTTTCTCCAAGTTTGCCGCCTGCACCAGTGAAATACGAGTATGGCGAAGCTGGCGCGGCGGCAGCCATTGCTCCTGGACTGTCTTTCAGCAGCCCAGTGGAAGGAGCAGTTGGTCCCAAACTACCCGAGATGAAATACAGCTGTAGCATGGACTTTGTCAGACATCACCCAGATCCAAGGCCACCAATGGAACAAGTACAACATAACCATTCATACCATTTACCACCAGAGAGTTCAAATGTAATGCACAGACCATTTGCACGAGACAAGCAGAAAGGCCGCCGATCTACGGAAGAGGAGCATCTAAATCGAGACGAGAAGCGGGCCCGAGGAATGAACATCCCGATGTCAGTTGGCGACATTATTAACCTCCCAATGGACGAGTTCAATGAGCGACTCTCCAAGTACGATCTCAGCGAGGCACAATTGTCGTTGATCAGAGACATTCGGCGGCGGGGAAAGAATAAGGTTGCTGCTCAAAATTGTCGTAAACGAAAGCTGGACCAAATCTTGACGCTTGCGGACGAGGTGAAGGACATGCGTGATCGCAAGAGTCGTATCATTCGTGAGAGAGACTTCATGTTGGCTGAGCGACAACGCGTCAAAGAGAAGTTCAGCCAACTTTACAGACACGTCTTCCAGGCTTTGCGAGACCACGAAGGCAACTCATACTCATCTTATGAATACAGTCTGCAGCAATCTGCTGATGGCACAGTACTTCTCGTGCCGCGTACAAATGCCTCCATGTTGGAGCCTGATCTCAACCGCCACAAACACAAAGAGCATGAACATCATCGCAAAGAGTGA
Protein Sequence
MIGCTTRIIFYSIVCLCRKYRPYDYSYSGRKHSSAPVGPSDTSHRMPPMAQKKHQMFGKRYFQGSDGTSLGSHGVSPSLPPAPVKYEYGEAGAAAAIAPGLSFSSPVEGAVGPKLPEMKYSCSMDFVRHHPDPRPPMEQVQHNHSYHLPPESSNVMHRPFARDKQKGRRSTEEEHLNRDEKRARGMNIPMSVGDIINLPMDEFNERLSKYDLSEAQLSLIRDIRRRGKNKVAAQNCRKRKLDQILTLADEVKDMRDRKSRIIRERDFMLAERQRVKEKFSQLYRHVFQALRDHEGNSYSSYEYSLQQSADGTVLLVPRTNASMLEPDLNRHKHKEHEHHRKE

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

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