Basic Information

Gene Symbol
Trm1
Assembly
GCA_950108535.1
Location
OX467320.1:2256681-2291118[+]

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 10 3.5e-76 1.3e-71 242.5 0.0 1 308 530 825 530 829 0.93
2 10 0.15 5.4e+03 -3.0 0.0 288 308 884 904 868 906 0.85
3 10 0.15 5.4e+03 -3.0 0.0 288 308 963 983 947 985 0.85
4 10 0.15 5.4e+03 -3.0 0.0 288 308 1042 1062 1026 1064 0.85
5 10 0.15 5.4e+03 -3.0 0.0 288 308 1121 1141 1105 1143 0.85
6 10 0.15 5.4e+03 -3.0 0.0 288 308 1200 1220 1184 1222 0.85
7 10 0.15 5.4e+03 -3.0 0.0 288 308 1279 1299 1263 1301 0.85
8 10 0.15 5.4e+03 -3.0 0.0 288 308 1358 1378 1342 1380 0.85
9 10 0.15 5.4e+03 -3.0 0.0 288 308 1437 1457 1421 1459 0.85
10 10 2.7e-18 9.7e-14 52.1 0.4 288 350 1597 1659 1570 1662 0.89

Sequence Information

Coding Sequence
ATGGAAGCCACAACAAATAAAACCATAAAGGAAGGTCCAGCCGTAATTAATTTGGTGTCTGAGAAAGTTTTCTACAATCCTGTGCAAGAATTCAACAGGGATCTTAGTATACTTGTACTAAATGTGTTCTCGGAGGACTATAAAGCTGAAAAAACTGCTCGGGCACAGAAAAAagctcaaaataaaattaatgatggCACAACCGATAGTTGTTCTGATAAACAAGAGATTGAATTGACCATTCTAGAAGCACTCTCAGCCACAGGACTAAGAAGCATCCGTTACGCAAAAGAAGTAGCGAATGTCACTAAAATTGTTGCCAACGACCTGTCCCAGCAGGCTGTGGAAACAATGAAGATTAACTTTGAGCAAAATAAAGTAGATCATGTGGTGATGGCTAACCATGATGATGCATGCATGCTTATGTACAAACACAAACATCCCTCTGAACGTTTCTCAGCCATAGACCTGGATCCGTACGGATGTCCGTCAATATTCCTGGACGCTGCCGTACAGAGTGTGCAGGATGGAGGCCTGCTGCTGGTCACTGCTACAGATATGGCGGTGCTTGCTGGAAACTCGCCAGAAACTTGCTATAGCAAATACGGTGCAGTCAGTTTGAAAACTAAATGCTGCCATGAAATGgcGTTAAGAATATTATTGCAGTGTATAGAGAAACATGCAAACAGATACAGCCGGTACATAGTCCCGCTGCTAAGTATTTCTGCTGACTTCTACATTCGTGTATTTGTGAAAGTGTATAGTGGTGCTATACATTGTAAGAAAACAACTAGCAAGTTATCCATGGTCTACCAATGTGTGGGCTGCGACAATATGACTTTGCAACCACTCGGTGGATTCAAACCGAATCCAACTGAAAAGTATCCGGATCAAaccaaagcatttttgcccactGGCCCACCAGTTAGTGAACACTGCATACACTGCAACCAGAGACACCATCTAGGTGGTCCAATTTGGTCAGCTCCTATCCACGACGAAGTGTTCGTGTCGCGAGTGCTGACGGAGCTGCAGTCGGGGCGGCACTGCCTCGGCACCAAAGACAGGATAGAGGGCGTGCTGTCTGTGGTGCGCGAGGAGTTGCACGAAGTGCCGCTGTACTACACGCTGGACAGGCTGTTCGGGAGGGTGCACTTGGAGACTATGCCCATGTTGCAGATGAGATCTGCAATCTTGAACGCCGGGTACAAGGTGTCATACTCGCACGCATCCAAAATGTCCATCAAAACAGCGGCGCCGGCGCAGCTGATATGGGATATCATCAGGACGTGGGAGAAGACTCACCCTGTCAAGCCTGCTAGGCTGGAAGCCGACCAAGTGGCTGCGTTCATCCTGTCCCAGCCGATCACGTGTCCCGTGGAGCTGAGCCCGCGGCCGGACGCCAACCCTGTGTCGCGGCGCGCCAAGGTGCTGCGGTTCCAGTTCAACCCGCAGCCGCACTGGGGGCCCGGCGCTAGGGCCGTAGTCAAAGGAAATCTCGTTCGCACCATGATCGAATGGAAGGATCTGACACCCCACATAAATGCAACACTTTACCCAGGATGTGAAGTGTGCTCAGACAATGATACACTCATTTATATAAGGGCAGAAGGTACCCATGACACCATCCATCAGGTATGGGACTTTACAGGGGGAATTCCAACGATGATGCTGGCTGTTGCTGGATTAAATTCTTCAATGAGAATAGATTGGGCAAAAACACATCCTATCAGGTTTAGATTTTCTGAGAAACCTCGGTATGGATTTGCAACTGCAATTGACAAGTTATATGAGTACAATGACGTTCACGACAACGGGTACATAGATAACGACAGCGCGCGTCGTGAGTTGCCGCTGTGGCGGGCGACGTGGTGGGCGCACAGCATGGCGCTCACCGACCAGGAGGTGATGCTGCAGCTGCGCGGCCGAGTCTCCGACCACAAGCGGACCGGGCTCGTCGACATCAAGCTGGACCTACTACCGTTCAAAGACTACGCAGTGGAGCTCCCGCACCTAATCCACACGGCCAACTCCACGTTACTGGACGTGGCGCTGGTGAACTTCACCACGTCGCCGGACTACAACTCGTCGCGGTACGCGCTCAGCCTGCTGCTCGTCAGCTTGGACCCGAGCGACGGGACCTTCACGTCTAATATGAGGAAGAGCTTGGATGATGAGCACACGCCTGGGGTCTTTGAGATAATGGAGGTGTCGTCGCCTTCGAGCGCGGGCGGCGACGGGGGGTTCCTGCAGTTCCGGCCGGTGTGCTACACGCAGCCGCGCCGCACCGTCGAATCCTCGACACGCGCCCACTTATCCGCGCTAGCCGGGACTCGCATTCCTCCGGGCAGCACCGTGGACGCTTTCTTCCACGGGTGGGATCCCTCGAGGCTGCTCGTGCAGGCGGCGCTAGTGTCGTTCGGGGAGCCCTCTGACGGGTTCTACCGGCACCACAACTATACTGCATGGTATGTTGTTGGTTCTATTATTGACAGGGCTCATGTCCCCGGGCAGTACTGTGGACGCCTTCCACCGGCACCACAACTATACTGCATGGGCTCATGTCCCCGGGCAGTACTGTGGACGCCTTCCACCGGCACCACAACTATACTGCATGGTATGTTGTTGGTTCTATTATTGACAGGGCTCATGTCCCCGGGCAGTACTGTGGACGCCTTCCACCGGCACCACAACTATACTGCATGGTATGTTGTTGGTTCTATTATTGACAGGGCTCATGTCCCCGGGCAGTACTGTGGACGCCTTCCACCGGCACCACAACTATACTGCATGGGCTCATGTCCCCGGGCAGTACTGTGGACGCCTTCCACCGGCACCACAACTATACTGCATGGTATGTTGTTGGTTCTATTATTGACAGGGCTCATGTCCCCGGGCAGTACTGTGGACGCCTTCCACCGGCACCACAACTATACTGCATGGTATGTTGTTGGTTCTATTATTGACAGGGCTCATGTCCCCGGGCAGTACTGTGGACGCCTTCCACCGGCACCACAACTATACTGCATGGGCTCATGTCCCCGGGCAGTACTGTGGACGCCTTCCACCGGCACCACAACTATACTGCATGGTATGTTGTTGGTTCTATTATTGACAGGGCTCATGTCCCCGGGCAGTACTGTGGACGCCTTCCACCGGCACCACAACTATACTGCATGGTATGTTGTTGGTTCTATTATTGACAGGGCTCATGTCCCCGGGCAGTACTGTGGACGCCTTCCACCGGCACCACAACTATACTGCATGGGCTCATGTCCCCGGGCAGTACTGTGGACGCCTTCCACCGGCACCACAACTATACTGCATGGTATGTTGTTGGTTCTATTATTGACAGGGCTCATGTCCCCGGGCAGTACTGTGGACGCCTTCCACCGGCACCACAACTATACTGCATGGTATGTTGTTGGTTCTATTATTGACAGGGCTCATGTCCCCGGGCAGTACTGTGGACGCCTTCCACCGGCACCACAACTATACTGCATGGGCTCATGTCCCCGGGCAGTACTGTGGACGCCTTCCACCGGCACCACAACTATACTGCATGGTATGTTGTTGGTTCTATTATTGACAGGGCTCATGTCCCCGGGCAGTACTGTGGACGCCTTCCACCGGCACCACAACTATACTGCATGGTATGTTGTTGGTTCTATTATTGACAGGGCTCATGTCCCCGGGCAGTACTGTGGACGCCTTCCACCGGCACCACAACTATACTGCATGGGCTCATGTCCCCGGGCAGTACTGTGGACGCCTTCCACCGGCACCACAACTATACTGCATGGTATGTTGTTGGTTCTATTATTGACAGGGCTCATGTCCCCGGGCAGTACTGTGGACGCCTTCCACCGGCACCACAACTATACTGCATGGTATGTTGTTGGTTCTATTATTGACAGGGCTCATGTCCCCGGGCAGTACTGTGGACGCCTTCCACCGGCACCACAACTATACTGCATGGGCTCATGTCCCCGGGCAGTACTGTGGACGCCTTCCACCGGCACCACAACTATACTGCATGGTATGTTGTTGGTTCTATTATTGACAGGGCTCATGTCCCCGGGCAGTACTGTGGACGCCTTCCACCGGCACCACAACTATACTGCATGGTATGTTGTTGGTTCTATTATTGACAGGGCTCATGTCCCCGGGCAGTACTGTGGACGCCTTCCACCGGCACCACAACTATACTGCATGGGCTCATGTCCCCGGGCAGTACTGTGGACGCCTTCCACCGGCACCACAACTATACTGCATGGTATGTTGTTGGTTCTATTATTGACAGGGCTCATGTCCCCGGGCAGTACTGTGGACGCCTTCCACCGGCACCACAACTATACTGCATGGTATGTTGTTGGTTCTATTATTGACAGGGCTCATGTCCCCGGGCAGTACTGTGGACGCCTTCCACCGGCACCACAACTATACTGCATGGGCTCATGTCCCCGGGCAGTACTGTGGACGCCTTCCACCGGCACCACAACTATACTGCATGGTATGTTGTTGGTTCTATTATTGACAGGGCTCATGTCCCCGGGCAGTACTGTGGACGCCTTCTTCCACCGGCACCACAACTATACTGCATGGTATGTTGTTGGTTCTATTATTGACAGGGCTCATGTCCCCGGGCAGTACTGTGGACGCCTTCCACCGGCACCACAACTATACTGCATGGGCTCATGTCCCCGGGCAGTACTGTGGACGCCTTCTTCCACCGGCACCACAACTATACTGCATGGTATGTTGTTGGTTCTATTATTGACAGGGCTCATGTCCCCGGGCAGTACTGTGGACGCCTTCCACCGGCACCACAACTATACTGCATGGTCAACAACGGTGGGGTACGGGTCACCGCCCGTGGAGGGTTTCTCGGCGTTCGTGATCGGCATGCTGGTGGGCGGGCTCGGGGCCCCCGCGCTGCTGGCGCTGGCCGGCGCGGGGTACGCGCTGCGCCGCCGCGGGGCCAACCGCCCGCAGCGACTCACCGACCAGCAGTGA
Protein Sequence
MEATTNKTIKEGPAVINLVSEKVFYNPVQEFNRDLSILVLNVFSEDYKAEKTARAQKKAQNKINDGTTDSCSDKQEIELTILEALSATGLRSIRYAKEVANVTKIVANDLSQQAVETMKINFEQNKVDHVVMANHDDACMLMYKHKHPSERFSAIDLDPYGCPSIFLDAAVQSVQDGGLLLVTATDMAVLAGNSPETCYSKYGAVSLKTKCCHEMALRILLQCIEKHANRYSRYIVPLLSISADFYIRVFVKVYSGAIHCKKTTSKLSMVYQCVGCDNMTLQPLGGFKPNPTEKYPDQTKAFLPTGPPVSEHCIHCNQRHHLGGPIWSAPIHDEVFVSRVLTELQSGRHCLGTKDRIEGVLSVVREELHEVPLYYTLDRLFGRVHLETMPMLQMRSAILNAGYKVSYSHASKMSIKTAAPAQLIWDIIRTWEKTHPVKPARLEADQVAAFILSQPITCPVELSPRPDANPVSRRAKVLRFQFNPQPHWGPGARAVVKGNLVRTMIEWKDLTPHINATLYPGCEVCSDNDTLIYIRAEGTHDTIHQVWDFTGGIPTMMLAVAGLNSSMRIDWAKTHPIRFRFSEKPRYGFATAIDKLYEYNDVHDNGYIDNDSARRELPLWRATWWAHSMALTDQEVMLQLRGRVSDHKRTGLVDIKLDLLPFKDYAVELPHLIHTANSTLLDVALVNFTTSPDYNSSRYALSLLLVSLDPSDGTFTSNMRKSLDDEHTPGVFEIMEVSSPSSAGGDGGFLQFRPVCYTQPRRTVESSTRAHLSALAGTRIPPGSTVDAFFHGWDPSRLLVQAALVSFGEPSDGFYRHHNYTAWYVVGSIIDRAHVPGQYCGRLPPAPQLYCMGSCPRAVLWTPSTGTTTILHGMLLVLLLTGLMSPGSTVDAFHRHHNYTAWYVVGSIIDRAHVPGQYCGRLPPAPQLYCMGSCPRAVLWTPSTGTTTILHGMLLVLLLTGLMSPGSTVDAFHRHHNYTAWYVVGSIIDRAHVPGQYCGRLPPAPQLYCMGSCPRAVLWTPSTGTTTILHGMLLVLLLTGLMSPGSTVDAFHRHHNYTAWYVVGSIIDRAHVPGQYCGRLPPAPQLYCMGSCPRAVLWTPSTGTTTILHGMLLVLLLTGLMSPGSTVDAFHRHHNYTAWYVVGSIIDRAHVPGQYCGRLPPAPQLYCMGSCPRAVLWTPSTGTTTILHGMLLVLLLTGLMSPGSTVDAFHRHHNYTAWYVVGSIIDRAHVPGQYCGRLPPAPQLYCMGSCPRAVLWTPSTGTTTILHGMLLVLLLTGLMSPGSTVDAFHRHHNYTAWYVVGSIIDRAHVPGQYCGRLPPAPQLYCMGSCPRAVLWTPSTGTTTILHGMLLVLLLTGLMSPGSTVDAFHRHHNYTAWYVVGSIIDRAHVPGQYCGRLPPAPQLYCMGSCPRAVLWTPSTGTTTILHGMLLVLLLTGLMSPGSTVDAFHRHHNYTAWYVVGSIIDRAHVPGQYCGRLPPAPQLYCMGSCPRAVLWTPSTGTTTILHGMLLVLLLTGLMSPGSTVDAFFHRHHNYTAWYVVGSIIDRAHVPGQYCGRLPPAPQLYCMGSCPRAVLWTPSSTGTTTILHGMLLVLLLTGLMSPGSTVDAFHRHHNYTAWSTTVGYGSPPVEGFSAFVIGMLVGGLGAPALLALAGAGYALRRRGANRPQRLTDQQ

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

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