Basic Information

Gene Symbol
dmd-4
Assembly
GCA_951802225.1
Location
OX637645.1:9636642-9642286[-]

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 1.5e-25 9.9e-22 77.1 9.4 1 47 9 55 9 55 0.98
2 2 1.7 1.1e+04 -3.1 4.5 3 11 291 299 289 300 0.84

Sequence Information

Coding Sequence
ATGATGAGCTCAAGCGGTCGGTCGAGAGTGCCGAAGTGCGCCCGCTGCCGCAACCACGGCCTCATCTCATCCCTGCGTGGGCACAAGAAGGCCTGCTCCTATCGCGACTGCCAGTGCCCCAAGTGTGGCCTCATCAAGGAACGCCAGAGGATTATGGCTGCACAGGTTGCGCTTAAACGCCAGCAAGCGGCCGAAGATAAGATAGCTCTACATCTAGCTTCGGTGGAAACTGGCACAGCTTTAGACTCCCTGCCGCAAGGAAGAATATTCGGGATGCCGGTCACAGGGCCCTGCCCGAGCCCCGGTGCTGAGCCCGACTCCAACGCTGGAGATCAGACGcctATCCACATTGATAGTGAGACCAGTGATTCCATGCCAGACCGCTGCACGGCTTCTCCGGATTCGGCAGCCGCCGCCACCTCGTCAGTCTCATCACCACAACCGCGAGTCGCACCAAACGTAGGAGATGAAAGCGATAGCGTCAGCACGGCCGGCCTGGAGATGCTCAGCAAGTTGTTTCCCGGCAAGAAACGTTCAGTTCTTGAACTGGTGCTCCGCCGATGCGACCGCGACCTACTCCGGGCTGTCGAACACTTCAACGCTGCTCATGCACATACGCTCCAAGGCAAGTTTCCCAGTCCGAGCACCAGTTTTCAATCTGCACCAGTCTCGAATTCAGAAGGAGGAAGTAGATGGTCGGCTTTTAGGCCTGTTGGCCCATCCCATCGGCCGCTCCTGCCAGCTCTCGTGATGGGCCAGGTCTGCGGCTCCGAGTGGTTTGTGCCCTTGCCGGCGCTCCCTGCCCTCTCGACCCCGCTGTACTTGCCGCTGCAGCACGCGCACAGTTCGTCTCAATGTGGGCCGTGCGCTCCTGATTGTCGTCAGTGTAATTTGcaccactaa
Protein Sequence
MMSSSGRSRVPKCARCRNHGLISSLRGHKKACSYRDCQCPKCGLIKERQRIMAAQVALKRQQAAEDKIALHLASVETGTALDSLPQGRIFGMPVTGPCPSPGAEPDSNAGDQTPIHIDSETSDSMPDRCTASPDSAAAATSSVSSPQPRVAPNVGDESDSVSTAGLEMLSKLFPGKKRSVLELVLRRCDRDLLRAVEHFNAAHAHTLQGKFPSPSTSFQSAPVSNSEGGSRWSAFRPVGPSHRPLLPALVMGQVCGSEWFVPLPALPALSTPLYLPLQHAHSSSQCGPCAPDCRQCNLHH

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

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