Basic Information

Gene Symbol
-
Assembly
GCA_033439095.1
Location
JAVBJF010000060.1:117194-117793[-]

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 0.45 1.2e+03 0.1 0.4 9 20 20 31 15 34 0.87
2 2 2.8e-12 7.9e-09 36.0 16.1 3 68 117 196 115 198 0.82

Sequence Information

Coding Sequence
ATGGACAAACCGACAGAATTCGGCCCTGCGCCACCTTCATATAACGAAGCCACAGCGCCACCTTGTCAAACAGTACAGACTACTCAGGTGCAGCCACCTCAACCACACCCTCAGGAACAACATGAGCCGCTGCTACAACAACCGTACCCCCAGCTGAATCAACCAGACCCGTATATTCCGCCGGTGAAACAACAACCATATCCTGAACCACAACCAACGTATCCTCCACAACAACTACCATATCCCCAGCCCCAGCAACCGTATCCCCCGCAACCATCTCCGGTGCCTCAATCAATGGTCATCCATATGCCTCCCGAATGTCACGGACCAGTTTCGTTCGGTATGGGCTCAGTTCATATGGTCTGTCCGAACTGTCACAATCAAATAACCACCAACGTGGCGAGCGAATGTAAAGAGGGCGACGGCTGCAAGGTTGAAAATCATTTGGCATGTATTATTATGTTTATCATCGGATGTTTCATTTTGGTCACCTGGTTTTGTTCCTGCTTACCATACGTTTTCAATAAAGATAAGTCGAGCTCCACTTATCGTCACTCGTGTCCGAGATGTAACGTATTGTTGGGAACATTCGTTAATTGA
Protein Sequence
MDKPTEFGPAPPSYNEATAPPCQTVQTTQVQPPQPHPQEQHEPLLQQPYPQLNQPDPYIPPVKQQPYPEPQPTYPPQQLPYPQPQQPYPPQPSPVPQSMVIHMPPECHGPVSFGMGSVHMVCPNCHNQITTNVASECKEGDGCKVENHLACIIMFIIGCFILVTWFCSCLPYVFNKDKSSSTYRHSCPRCNVLLGTFVN

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

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