Basic Information

Gene Symbol
-
Assembly
GCA_029955315.1
Location
JARGXY010000010.1:14959216-14966096[-]

Transcription Factor Domain

TF Family
zf-LITAF-like
Domain
zf-LITAF-like domain
PFAM
PF10601
TF Group
Zinc-Coordinating Group
Description
Members of this family display a conserved zinc ribbon structure [3] with the motif C-XX-C- separated from the more C-terminal HX-C(P)X-C-X4-G-R motif by a variable region of usually 25-30 (hydrophobic) residues. Although it belongs to one of the zinc finger's fold groups (zinc ribbon), this particular domain was first identified in LPS-induced tumour necrosis alpha factor (LITAF) which is produced in mammalian cells after being challenged with lipopolysaccharide (LPS)[2]. The hydrophobic region probably inserts into the membrane rather than traversing it. Such an insertion brings together the N- and C-terminal C-XX-C motifs to form a compact Zn2+-binding structure [1].
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 3 0.3 1.4e+03 -0.1 0.1 57 67 4 14 2 17 0.64
2 3 1.7e-18 7.8e-15 55.1 3.3 2 70 90 158 89 158 0.97
3 3 0.31 1.4e+03 -0.2 0.2 3 11 161 169 159 181 0.77

Sequence Information

Coding Sequence
ATGGACCAGCTGACATGTCAGATATGTGGCGACAAATTAGCTTTCAATCCGGAATGCCCTTGCTCGTTAGGTGAGCACTTGTTGAGCCGTCATCCTGAATTGGAAATGGCGCATTTTTCACGCGAAGATTTGTTTTGCCGCTGCAGTTCCGAGAGAATTCCGCAAGACCACGCCCCAAAAAAGAAACCTTCTCCGTCGGTGAGATTTAGAACTAAGTCTCGTAGCGGTCAAGCTCTTTTCAAGACGACTGTCGAGACTTGGAGACCCGGGCCTCGGATGGTCACTTGTCCTCAATGCAATTACTTAGAGCGGCCTTGTATCAGAAAGCAAAGAAACAGAGTTGCGTACTCGACCATAGGTGCGTTGTGTCTCCTATTGTGCTGGCCGATTTGCTTCCTCCCTTTTTTTCTTCCGCATGGTAGCGATATCGAATTGTTTTGCAAGAAATGCGGAGCCTTTCTGGGCAGATACGATCGACAGACAGGAACGATGACGTGCCCCCCTTGTCCCCCTGTAAACGGCAAAAATGTCAACGACAAACCTCCGATGTGCTga
Protein Sequence
MDQLTCQICGDKLAFNPECPCSLGEHLLSRHPELEMAHFSREDLFCRCSSERIPQDHAPKKKPSPSVRFRTKSRSGQALFKTTVETWRPGPRMVTCPQCNYLERPCIRKQRNRVAYSTIGALCLLLCWPICFLPFFLPHGSDIELFCKKCGAFLGRYDRQTGTMTCPPCPPVNGKNVNDKPPMC

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

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