Basic Information

Gene Symbol
dsx
Assembly
GCA_900005825.1
Location
CVRI01000040.1:1177647-1179907[+]

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 2 1.2e-19 3.5e-16 59.0 9.4 4 45 9 50 5 52 0.94
2 2 1.5e-20 4.6e-17 61.9 9.6 1 47 118 164 118 164 0.97

Sequence Information

Coding Sequence
ATGGGCGGGATTCGGAACTATCAAGTCTGTGCTCGTTGTCGAAATCATAACATTCGTAATATTTTGAAAGGTCATAAAAAGAATTGTCCGTTCAAGCTGTGCACTTGCGACAAATGTCTCGTGACAAGGGATCGTCAAAGTTTCATAGCAAGGGAAATTGCGATGCACAGATAcgagataaaaaataaaactgacaTGGAGAGTGAAACAgttcaaagtttaaaattgaaCATAGTTCGAAGTAaatcaacagaagaaaagTCATCGTCGTCTAGTTCCGGCGAATCGGGTGGAGTCGTGGAAAGTGTgagaaaatatatgaaaataagTGAGAGGAATGGTGAAGTAAGAAGAGATCAGTTGTGCTCTCGTTGTCGAAATCACGGAGAACATCGGTTACTAAAAggtcacaaaaatatttgtccATTCGCTAATTGTATTTGCGACAAATGTGAGATTACTTTAAAACGTCGTGAAATAATGGCGAAACAGATTAAAGACTATAGAAGTAACCGATTATCAGATTCAATAATAAGTTCACCGGAAACTGAGACATCATCCGAAATTGACAATGATTTTGATAAGCTAAATGTCGAACAGTTTGTTGACTATGAGCCCGTCGAGAATCGTGACCTTTTCTTCATGATTCAAAGTTTGTATGAAAAATATGGAATTCAAAGcagtgaaacaaaaattcaactGATTTATGCATTTGCACATTTGGCGAAAGGAAATTGGAGTGAAATAGAAAAAGCTCTTGAGAAAGGTTCCTCCTATGCTCGAAAATATTCTGTTCAACACAACTTGATTGCTTACCAAAATAATACACTGATGAATTCACATATGTTATCATATGACCCGAATGCAGTTGCAAGAGTTAAACAACCCGACAACAGTttttaa
Protein Sequence
MGGIRNYQVCARCRNHNIRNILKGHKKNCPFKLCTCDKCLVTRDRQSFIAREIAMHRYEIKNKTDMESETVQSLKLNIVRSKSTEEKSSSSSSGESGGVVESVRKYMKISERNGEVRRDQLCSRCRNHGEHRLLKGHKNICPFANCICDKCEITLKRREIMAKQIKDYRSNRLSDSIISSPETETSSEIDNDFDKLNVEQFVDYEPVENRDLFFMIQSLYEKYGIQSSETKIQLIYAFAHLAKGNWSEIEKALEKGSSYARKYSVQHNLIAYQNNTLMNSHMLSYDPNAVARVKQPDNSF

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

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