Pchl017792.1
Basic Information
- Insect
- Petrophora chlorosata
- Gene Symbol
- -
- Assembly
- GCA_951640565.1
- Location
- OX621204.1:2041730-2046834[+]
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 1 6.1e-71 9.9e-67 226.2 0.0 138 352 22 245 11 246 0.93
Sequence Information
- Coding Sequence
- ATGAGTAAGAGAAACGACATGGATCACCTGCCTACCGACCGGTGCCGAATGGGAGgggtgtatCTGGACCTCCTTCCATTCAAAGACTACGCGACGGACCTTCCCCATCTCATCCACACCGCCAACTCGACTCTAATAGACCTCCGGCTGGTAAACCTCACCGAGCACCGCAGCTACAACTCGTCGAGGTTTGCGCTGCATTTCATCATGGTCAGCACAGACCCTACAACTGACACGTGGAACGTGGCAATGAGGAAAAGCTTGGACGACGAGCACACACCTGGTGTTTTCGAGATAATCGAGATCAAGAGTCCCAAGTCAGCGAGCGCCGGTAGAGGCGGCTTCATGCAGTTCCGACCGGTGGCGTACAATGAGCCCGAACGCGGCGTTTCTTCCTCTACCAACGCTTACATATCCAACTTTAACAGGACCAAATTACCTAGGAACGGCATACTGAGTCGTTTCTACCACGACATCTCAGAGTTAAAGTTCCAGCATCTTCATGAAGATCATGATGACATGATCATCCAGGACATGGTCGTGTCTTTCGGCCTCGCCGGCGACGGGTTTTATAAGCAGCACAACTTTACGGCCTGGTCATTCACCCTCGGCTACGGAACCCCGCCGCTGGAAGGCTTCTCTGTCTTCGTCCTGATCATCATTTCCATCGGTCTCGGAGTGCCCAtactcctggctatttccggaaTCGGTTACGTGCTGGCCCGCCGCTGCAAACAACGGAACCCGCCGACCAGGTTTACTAACGATGAATAA
- Protein Sequence
- MSKRNDMDHLPTDRCRMGGVYLDLLPFKDYATDLPHLIHTANSTLIDLRLVNLTEHRSYNSSRFALHFIMVSTDPTTDTWNVAMRKSLDDEHTPGVFEIIEIKSPKSASAGRGGFMQFRPVAYNEPERGVSSSTNAYISNFNRTKLPRNGILSRFYHDISELKFQHLHEDHDDMIIQDMVVSFGLAGDGFYKQHNFTAWSFTLGYGTPPLEGFSVFVLIIISIGLGVPILLAISGIGYVLARRCKQRNPPTRFTNDE
Similar Transcription Factors
Sequence clustering based on sequence similarity using MMseqs2
- 100% Identity
- -
- 90% Identity
- -
- 80% Identity
- -