Basic Information

Gene Symbol
dsx
Assembly
None
Location
GWHAMMQ00000349:240929-309590[-]

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 6.5e-23 2.9e-19 68.7 14.1 2 47 25 70 24 70 0.97

Sequence Information

Coding Sequence
ATGTCCGACTCGCAGGAATTCGAGAATAAAATGGATGTGAATGCATCGAGTACATCGGTGACACCGAGAACACCCCCGAATTGTGCTCGATGTCGAAATCATCGAAAAAAAATCGCGTTAAAAGGACATAAACGTTATTGTATGTATCGCTCGTGTAAATGCGAAAAATGCCGGTTAACTTCAGAACGACAACGAGTTATGGCCATGCAGACTGCATTAAGGCGAGCTCAAGCTCAAGATGAAGCTATGATTCGTACGAATTCTAATGGTGTTGAAGAATTGGGATTGATTCCATTAGGACAACAAAGTCCACCATTGATTACTTCGTTAAAACGACGTGTTGATTGTGATTCTTCCGGGTCTTCGCAGTGTTCCGAGCAACTTTCTTCTTCAAAGATTATGAAATTGACACCGGTGCCGTTGATGCAACAAAGTCCTCCGATGATTACCTCATTTATCTATATTACTCAGAGAAAAAGAGTGGTGAACGAATATTCAAGAATGCACAATTTGAACATGTACGATGGCGTCGAACTCCGGAATTCCACGCGACAAACTATCGATATTCTACTGAATTTGTGTAACCGGGTTAAGGAAAAATTTCAACTTTCATGGAGGATGATTTCGTTGGTTGGTGTTGTTTTAAAATATTCCAAACAAAATGAAGAACACGCTTTTAGTAGAATAGAAGAAGCTTTCAGGGATATCAATGCTTTAGCTGAATCAAGAGTAACGCCAAATTTTTCACTGCAATGTAGTTATCATACAATTCCATATCCAGGTTTATACACATCAGCGTTATATCCACCATGGTTTCTTCCACCTAGTTTTTGTCATTATCCCCCATCAACATTGCTCACGGCACCCACATCATGCTCATCCCCCAGCTCCCCTACTGCGAACTCACCTTTAGCTAATTCTACACCAATAAGGCCTGAGAGTCGAACGTGA
Protein Sequence
MSDSQEFENKMDVNASSTSVTPRTPPNCARCRNHRKKIALKGHKRYCMYRSCKCEKCRLTSERQRVMAMQTALRRAQAQDEAMIRTNSNGVEELGLIPLGQQSPPLITSLKRRVDCDSSGSSQCSEQLSSSKIMKLTPVPLMQQSPPMITSFIYITQRKRVVNEYSRMHNLNMYDGVELRNSTRQTIDILLNLCNRVKEKFQLSWRMISLVGVVLKYSKQNEEHAFSRIEEAFRDINALAESRVTPNFSLQCSYHTIPYPGLYTSALYPPWFLPPSFCHYPPSTLLTAPTSCSSPSSPTANSPLANSTPIRPESRT

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

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