Pnig013533.1
Basic Information
- Insect
- Pyrausta nigrata
- Gene Symbol
- -
- Assembly
- GCA_949316185.1
- Location
- OX438946.1:4766690-4770410[-]
Transcription Factor Domain
- TF Family
- LRRFIP
- Domain
- LRRFIP domain
- PFAM
- PF09738
- TF Group
- Unclassified Structure
- Description
- LRRFIP1 is a transcriptional repressor which preferentially binds to the GC-rich consensus sequence (5'- AGCCCCCGGCG-3') and may regulate expression of TNF, EGFR and PDGFA [1]. LRRFIP2 may function as activator of the canonical Wnt signalling pathway, in association with DVL3, upstream of CTNNB1/beta-catenin [2].
- 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 7.4e-09 0.00013 22.3 0.4 119 192 60 135 53 172 0.80
Sequence Information
- Coding Sequence
- atgcgcgaccttcctgcgtcCCTGCAACACGTGCTACAGGATCAGTCGGTTgaagaaaacataacttttcgCCGCAAGCAGAAGTCGTCAATCTCTCAAGACCTCGATAGAGCACCTGTCCAGGCGCCTCTGACTCCTGATGCTGGTGCGTCTGATACTTTAGCCACCGTACTTTCAGAGATAAGGCTTCTTAGACAGGACGTTGGTCGCCTAACAGAGCGAATGGACGAGCTATCCCGACAGTTTGAAGAAAAAACCAGGGACCTAGAAAATCGTGACTTAGAAATCGCCGGCTTGAGAACTCAAGTCTCTCAACTGCAGGAGCAACTAAATACTCAAGCCCAGTCAGCATTATGGAATGAAATTGAGATTATTGGAGTTCCAGAGACAAGAAACGAGTCCTCAACACATATGGTTAAATTAATAGCCACAAAAGTTGGCATCACTCTTAATGACTCGGATATCGACTGGACGCTAAGGGCAGGTCCAAAAAAACCGGATGTATCTGCTAACAAACTGTCGCGGCCTCTGGTGGTGTGGTTTACACGAAGAGCTAAAAGTAATAAACTGCTGAAGGCTGGCAAGGCTAGAAAAAACCTCTTTACGAAAGACCTTGAATTGGACaacaaaacgtcaaaaatctacCTCAATGAGAGACTGACCCGGGAAAATCGGCAGTTATTTCGTGATGCACGAAACCGATCAAAAGCTGCAGGTTTCAAATACTGTTGGACCCAAAACGGTGCAGTGCTCATTCGTCAAAGAGAAGGAAGCCATGCAATCAAACTGCGATCACAAGAAAAGCTCGCAGAGAAACTGGGGGTCGACCCAAGCTCTTCGCCTTCACCGCTGCAGGACTAA
- Protein Sequence
- MRDLPASLQHVLQDQSVEENITFRRKQKSSISQDLDRAPVQAPLTPDAGASDTLATVLSEIRLLRQDVGRLTERMDELSRQFEEKTRDLENRDLEIAGLRTQVSQLQEQLNTQAQSALWNEIEIIGVPETRNESSTHMVKLIATKVGITLNDSDIDWTLRAGPKKPDVSANKLSRPLVVWFTRRAKSNKLLKAGKARKNLFTKDLELDNKTSKIYLNERLTRENRQLFRDARNRSKAAGFKYCWTQNGAVLIRQREGSHAIKLRSQEKLAEKLGVDPSSSPSPLQD
Similar Transcription Factors
Sequence clustering based on sequence similarity using MMseqs2
- 100% Identity
- -
- 90% Identity
- -
- 80% Identity
- -