Basic Information

Gene Symbol
-
Assembly
GCA_002237135.5
Location
CM026971.3:15282583-15287730[-]

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 2 9.4 3.3e+04 -3.6 0.2 12 21 71 80 68 85 0.57
2 2 4.3e-27 1.5e-23 84.0 11.9 1 69 126 194 126 195 0.97

Sequence Information

Coding Sequence
ATGGATAAATCgacaaataacaattttaattatccaAAATTACCAACACAAATGGAAACTTCCACTAGTAGTGGTCAAATGCCACCAGCACCGCCATCATATGAACAGGCCACGGGATCAACAGACATAAGTTATCCACCAGTGGAAATTTTACCGACACCAAATGTAAACACGCTTAACACAGTTCCACAAGAAAGAACCATGCAAACACAGACCACAACCTATACTAGTATAAATCATCAAATGCCACAATACGGTTCCTTGGGTGGAGCAACTCATACAGCTCATACGTACACAACCCAACAAGGAGCGCCACCAATCATCCAGCAGCAACCCGTCGTTATTATACAACAACAAGCTATTTTACCACTAGGACCAGAACCAGTCTATTTGACATGTCCCGCATGTCATATACAAAAACTAACACGCATTGAATATGAGCCAAGTTCTAGAACGCATCTAATGGCGGCACTCTTGTGTGTTTTAGGactTTGGTGCTGTGTATGTTTACCTTACTGCGCCGGAAGCTGCATGAATGCCAACCATTATTGCGGGAATTGCAATAAGTTTTTAGGCACCTATGGCGCGACTTTGTAA
Protein Sequence
MDKSTNNNFNYPKLPTQMETSTSSGQMPPAPPSYEQATGSTDISYPPVEILPTPNVNTLNTVPQERTMQTQTTTYTSINHQMPQYGSLGGATHTAHTYTTQQGAPPIIQQQPVVIIQQQAILPLGPEPVYLTCPACHIQKLTRIEYEPSSRTHLMAALLCVLGLWCCVCLPYCAGSCMNANHYCGNCNKFLGTYGATL

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

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