Basic Information

Gene Symbol
-
Assembly
GCA_949316355.1
Location
OX438534.1:38762339-38765801[-]

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 0.23 1.5e+03 -0.5 1.1 29 50 5 22 1 28 0.49
2 3 1 6.9e+03 -2.5 0.2 5 15 64 74 61 89 0.61
3 3 9.5e-15 6.4e-11 42.4 8.9 5 69 98 162 94 163 0.96

Sequence Information

Coding Sequence
ATGGGTACTTATCTGAGATGCGCTATTTGTGGTCTAAAGATACCAGTCGATCCTTACTGCATGTGTCCATTAGGCGATCATTTCATACAAGAGCATCCAGATGCTGGAGTCAATTTCTACACCAACGataaagaaatcaaagaaatatcCAGGAAGGAAAGGGAAGTACAGAAAAGGAAATCCTGTTCCAGAACGAACTGTCCCGAATTTAACCAAAACAGATCCAACAACCAGACGAAGAGCTCATCTGCTTTCCGAACAACAGTAGAGACTTGGAATAGTAGTACGTTGAAGGTGAAGTGTCCCAAATGTAACATCACAGACAAGCCGTgtatcagaaaacaaaaaaacaaaatagccACCAGTTCTGTGGGGGCCTTCTGCATGACCACCTGCTGGCCCATCTGCTTTATGCCGTTTCTGATGCCTCATTCTAGCACTCTAGATCTTTATTGCAAACACTGCGGGTTCTTCATGGGCGAGTACGACAGAGCCACTGGAAAATTATTGTGTAGGTGTAAGACGGAAGGAAAGAAACTAGGTGGGGTCCCATGTAAGGTGGAGTAG
Protein Sequence
MGTYLRCAICGLKIPVDPYCMCPLGDHFIQEHPDAGVNFYTNDKEIKEISRKEREVQKRKSCSRTNCPEFNQNRSNNQTKSSSAFRTTVETWNSSTLKVKCPKCNITDKPCIRKQKNKIATSSVGAFCMTTCWPICFMPFLMPHSSTLDLYCKHCGFFMGEYDRATGKLLCRCKTEGKKLGGVPCKVE

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

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