Basic Information

Gene Symbol
-
Assembly
GCA_014825645.1
Location
QVNZ01008870.1:69001-91222[-]

Transcription Factor Domain

TF Family
DM
Domain
DM domain
PFAM
PF00751
TF Group
Zinc-Coordinating Group
Description
The DM domain is named after dsx and mab-3 [2]. dsx contains a single amino-terminal DM domain, whereas mab-3 contains two amino-terminal domains. The DM domain has a pattern of conserved zinc chelating residues C2H2C4 [1]. The dsx DM domain has been shown to dimerise and bind palindromic DNA [3].
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 4.5e-12 2.9e-08 34.0 5.6 4 43 50 90 47 94 0.90

Sequence Information

Coding Sequence
ATGAGCAATAAAAATAAAAGAAAAGTAAGCGAGACGAGAGAAGAATCGGAAAGTCCAGTGAAAAAGAAGCAAGCGAGTGAGAAATCGGAAGAGAAGACGGAAGAGAAATTGGTAGTTCCGGTAAAAAAAAAGGATCGAGCGAGTGGGAAATGTTCAACCTGCAAAATACATGGCATTGACGCACTGGCAGGTGCCGGCCATAAATACGTTTGTTCGTACAGAACATGCTTTTGTGAGAAATGTATAGAAAATGCAAGAAGGAAGGACAAATCAGCAACCGATATAAGAATAAGCAGAACGAAAAAAATATTTGAGAGCAAACAAAATCAATCAAATCAAAAACAAATTGAAATTACCTTATCTAAGGAGAAGAATTCCTGGCCAGACATAAAAATGAATGTGGAAAAAGAAAAAGAAGATAATTACTATGACCATCAAGAATTCTTGAAGACTCTATACTCTGTGATTGCTCGAACAAATGTCATCGAGCAATCATCTTTTGCAATGCGCGCGATCAAAAGATGTTTTGAAGTCCTTGCCACATCTATGGTAGACCGTATTCCTAAAAAAGTAGCTAACAAAGCATACCAAAACCTCAGCGATTACATTNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNCTTACTAGATCCGAGATTTTTAAGAAGTGTTCCAACAACATACAATTACACATGTTTGAAGAGAGAAACACCACCGGAAGAATTCAACGTAGTAAGAAGTTCTGTGCCGTACAAGTCGCTTGAATTCTCTTCTAAGTATCATTGGTAA
Protein Sequence
MSNKNKRKVSETREESESPVKKKQASEKSEEKTEEKLVVPVKKKDRASGKCSTCKIHGIDALAGAGHKYVCSYRTCFCEKCIENARRKDKSATDIRISRTKKIFESKQNQSNQKQIEITLSKEKNSWPDIKMNVEKEKEDNYYDHQEFLKTLYSVIARTNVIEQSSFAMRAIKRCFEVLATSMVDRIPKKVANKAYQNLSDYIXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXLLDPRFLRSVPTTYNYTCLKRETPPEEFNVVRSSVPYKSLEFSSKYHW

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

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