Basic Information

Gene Symbol
mafaa
Assembly
GCA_000648675.3
Location
NW:1771166-1773352[-]

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 4.6e-11 2.5e-08 33.2 11.5 2 64 265 327 264 328 0.95

Sequence Information

Coding Sequence
ATGGAAAACTCGTCAGATAAAATGGAAGCGGAAGACGGACAACTTGCCGCTCAATACGTACAGGAATTCGTTCTAGACCATTTAGAGGACGTTTCCGTGAAGAAGGAAGGAGGTATGGAAAGATTGCCCTCAATGTTATCGTGCGGAGGAGGCGTGGTGCAGATGAGCTCGCCGCAGCCTCATCACCACCTGCTTACACCTCCGGGACACCAATCTGAGGATTACAATGTCGTGACCATGTCGTCGCAGCATCAGCCGATGATGATGCAGCACAGTATTTACCCTGACACACCGGGGACTCCTCCGGACACCCCGCCGGAGAGCACCTCGCCCCATTCGCCGCCCAACCGACAGTACCACCTGGAACAGTCGCAACTCCTGCTGCCGCAGAGGCCTCCCCAGGGTGTGGTAGACGAAATGGGATGGATAATGGCCAACGGGGGTCCTCTGAGGCAGGAACCTCTCGATCTGAGGCCCAACTGCGGGGGAGACCCCCTCGCCGAGGACTGGGTTCAACTCCAACACGGTCCGGTCATAAACCCGGGCAAGAGGATATTAGAATACCACCACCAACACCACCATCACCATCACCATCCAGACGACGATCTGGAAATGAGCCCTTCGACCCCCATGCAGAATTCTATGCAGATGCAGATGCAGATGTCAGTGCCGATGAAAGGGAGTGATGGTAGAAGTTCCGCCGAGGATATAATCAGCGACGAACTGCTCATGTGCCTTACCGTCAGGGAGCTCAACAAACGACTACAAGGCTTTCCCAGAGAAGAAGTCGTAAGGTTGAAGCAGAAGAGGCGCACGCTGAAAAACCGCGGCTACGCCCAGAATTGCAGGAGCAAACGCTTGCACCAGAGACACGAATTGGAAATGACTAACAGAAGCCTGCAGAACGAACTGCACAGGATAAAACAAGACCATTCGAGAATCTCTCAAGAGCGCGACATGTACAAATTGAGATGCGAGGCGCTGATGAAGAGGCTGGAAGGTCGCGAAAACATCCCCTGCAGTCCAGCGTCCACCACCTACATGTGA
Protein Sequence
MENSSDKMEAEDGQLAAQYVQEFVLDHLEDVSVKKEGGMERLPSMLSCGGGVVQMSSPQPHHHLLTPPGHQSEDYNVVTMSSQHQPMMMQHSIYPDTPGTPPDTPPESTSPHSPPNRQYHLEQSQLLLPQRPPQGVVDEMGWIMANGGPLRQEPLDLRPNCGGDPLAEDWVQLQHGPVINPGKRILEYHHQHHHHHHHPDDDLEMSPSTPMQNSMQMQMQMSVPMKGSDGRSSAEDIISDELLMCLTVRELNKRLQGFPREEVVRLKQKRRTLKNRGYAQNCRSKRLHQRHELEMTNRSLQNELHRIKQDHSRISQERDMYKLRCEALMKRLEGRENIPCSPASTTYM

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

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