Basic Information

Gene Symbol
-
Assembly
GCA_011634795.1
Location
PHTE01003080.1:4864-6101[-]

Transcription Factor Domain

TF Family
NCU-G1
Domain
NCU-G1 domain
PFAM
PF15065
TF Group
Unclassified Structure
Description
NCU-G1 is a set of highly conserved nuclear proteins rich in proline with a molecular weight of approximately 44 kDa. Especially high levels are detected in human prostate, liver and kidney. NCU-G1 is a dual-function family capable of functioning as a transcription factor as well as a nuclear receptor co-activator by stimulating the transcriptional activity of peroxisome proliferator-activated receptor-alpha (PPAR-alpha) [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 7.1e-26 1.7e-21 77.0 1.1 137 223 1 89 1 120 0.95
2 2 5.6e-34 1.3e-29 103.7 0.4 220 351 128 260 120 262 0.89

Sequence Information

Coding Sequence
aagatcAATGTATTTGGTACACTTGAACGTGTCAATGAAAAACCATCAATGTTACATTCAGAGAATACAACGCAAATTGATTTAtcaattgataattttgagacaaataaaacatttacaaGCAGTCGTTTtgcaattgaattattatttataaatgatggcgagccaaatttaataattccaataaatattaaaaaaacaatcaacGATGAACATACACcgggaatatttaaatttattgaaattaattcaccTTACAATAATAGTGAATATTCAATAGATGAggaaaacaacaacaacaacaacagcaacaaaaagaataataataataataataataataataataataataataataataataatgataataataataataataatgaaaataatttatcatcaaTGTATTTACAATGGAGACCAATTTCTTATTTGACAAAAGAACGTGTAATGAAAGATTCAAGTGatgcaattatttatcaattaaaaaaatcggaaaatattttaaatgacataaaaaacagtattttattatcatattatgaaaataatattaatcatatTGTTGTacgtaaatttaatatttcatttggcAGTAATGGCGATGGATTTTACaagaaatcaaaatataattcatgGACATTTCTACTTGGTTACAATCATTCACTTGATGAACAATTGACAACTGGAACAATTGTTATCATCTCCAATGTAATAGGCATTCctctattgtttataattttttacagttcTCTAATGTTTATACGCAGGGCATCAacgagagaataa
Protein Sequence
KINVFGTLERVNEKPSMLHSENTTQIDLSIDNFETNKTFTSSRFAIELLFINDGEPNLIIPINIKKTINDEHTPGIFKFIEINSPYNNSEYSIDEENNNNNNSNKKNNNNNNNNNNNNNNNNNDNNNNNNENNLSSMYLQWRPISYLTKERVMKDSSDAIIYQLKKSENILNDIKNSILLSYYENNINHIVVRKFNISFGSNGDGFYKKSKYNSWTFLLGYNHSLDEQLTTGTIVIISNVIGIPLLFIIFYSSLMFIRRASTRE

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

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