Basic Information

Gene Symbol
-
Assembly
GCA_963662175.1
Location
OY759214.1:103589094-103592168[+]

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 20 0.0066 1.1e+02 3.0 0.0 142 168 43 69 18 100 0.86
2 20 0.043 7.1e+02 0.4 0.0 142 166 93 117 75 120 0.89
3 20 0.044 7.2e+02 0.3 0.0 142 167 143 168 140 177 0.89
4 20 0.029 4.8e+02 0.9 0.0 142 167 193 218 190 239 0.88
5 20 0.029 4.8e+02 0.9 0.0 142 167 243 268 240 289 0.88
6 20 0.0095 1.6e+02 2.5 0.0 142 168 293 319 290 340 0.87
7 20 0.059 9.8e+02 -0.1 0.0 144 167 345 368 323 389 0.88
8 20 0.0089 1.5e+02 2.6 0.0 142 168 393 419 379 439 0.89
9 20 0.041 6.7e+02 0.4 0.0 142 167 443 468 440 484 0.89
10 20 0.035 5.8e+02 0.6 0.0 142 167 493 518 479 539 0.89
11 20 0.039 6.4e+02 0.5 0.0 142 166 543 567 540 569 0.87
12 20 0.0095 1.6e+02 2.5 0.0 142 168 593 619 588 639 0.88
13 20 0.01 1.7e+02 2.4 0.0 142 168 643 669 640 687 0.89
14 20 0.029 4.8e+02 0.9 0.0 142 167 693 718 690 739 0.88
15 20 0.031 5.2e+02 0.8 0.0 142 167 743 768 724 772 0.90
16 20 0.029 4.8e+02 0.9 0.0 142 167 793 818 790 839 0.88
17 20 0.0095 1.6e+02 2.5 0.0 142 168 843 869 840 890 0.87
18 20 0.028 4.6e+02 1.0 0.0 142 167 893 918 890 950 0.80
19 20 0.27 4.5e+03 -2.3 0.0 147 165 948 966 922 969 0.84
20 20 0.039 6.4e+02 0.5 0.0 142 166 993 1017 990 1019 0.87

Sequence Information

Coding Sequence
ATGCCTAACAACTATCACTCCGCAGAAAGCTCTCGGGTGGACAAACAACTGAACAGGGAGGGGTGGGGAGCTCGAAGAAGGCTTAGTGTTCATTTGAAAATACCTGGTAAGAGGGACTATCTAGAGAAGTCTCAGGGTATTGTCCAGAGCATGCCTAACAACTATCACTCCGCAGAAAGCTCTCGGGTGGACACACGACTGAAAGGGGAGGGGTGGGGAGCCTCAAGAAGGCTTAGTGTTCATTTGAAAATACCTGGTAAGAGGGACTATCTAGAGAAGTCTCAGGGTATTGTCCAGAGTATACCTAACAACTATCACTCCGCAGAAAGCTCTCGGGTGGACAAACAACTGAACAGGGAGGGGTGGGGAGCCTCAAGAAGGCTTAGTGTTCATTTGAAAATACCTGGTAAGAGGGACTATCTAGAGAAGTCTCAGGGTATTGTCCAGAGCATACCTAACAACTATCACTCCGCAGAAAGCTCTCGGGTGGACAAACAACTGAACAGGGAGGGGTGGGGAGCCTCAAGAAGGCTTagtgtttatttgaaaataccTGGTAAGAGGGACTATCTAGAGAAGTCTCAGGGTATTGTCCAGAGCATGCCTAACAACTATCACTCCGCAGAAAGCTCTCGGGTGGACAAACAACTGAACAGGGAGGGGTGGGGAGCCTCAAGAAGGCTTAGTGTTCATTTGAAAATACCCGGTAAGAGGGACTATCTAGAGAAGTCTCAGGGTATTGTCCAGAGCATGCCTAACAACTATCACTCCGCAGAAAGCTCTCGGGTGGACAAACAACTGAACAGGGAGGGGTGGGGAGCTCGAAGAAGGCTTAGTGTTCATTTGAAAATACCTGGTAAGAGGGACTATCTAGAGAAGTCTCAGGGTATTGTCCAGAGCATGCCTAACAACTATCACTCCGCAGAAAGCTCTCGGGTGGACACACGACTGAAAGGGGAGGGGTGGGGAGCCTCAAGAAGGCTTAGTGTTCATTTGAAAATACCTGGTAAGAGGGACTATCTAGAGAAGCCTCAGGGTATTGTCCAGAGCATGCCTAACAACTATCACTCCGCAGAAAGCTCTCGGGTGGACAAACAACTGAACAGGGAGGGGTGGGGAGCTCGAAGAAGGCTTAGTGTTCATTTGAAAATACCTGGTAAGAAGGACTATCTAGAGAAGTCTCAGGGTATTGTCCAGAGCATGCCTAACAACTATCACTCCGCAGAAAGCTCTCGGGTGGACACACGACTGAAAGGGGAGGGGTGGGGAGCCTCAAGAAGGCTTAGTGTTCATTTGAAAATACCTGGTAAGAGGGACTATCTAGAGAAGTCTCAGGGTATTGTCCAGAGCATACCTAACAACTATCACTCCGCAGAAAGCTCTCGGGTGGACAAACAACTGAACAGGGAGGGGTGGGGAGCCTCAAGAAGGCTTAGTGTTCATTTGAAAATACCTGGTAAGAGGGACTATCTAGAGAAGTCTCAGGGTATTGTCCAGAGCATACCTAACAACTATCACTCCGCAGAAAGCTCTCGGGTGGACAAACAACTGAACAGGGAGGGGTGGGGAGCCTCAAGAAGGCTTAGTGTTCATTTGAAAATACCTGGTAAGAGGGACTATCTAGAGAAGTCTCAGGGTATTGTCCAGAGCATGCCTAACAACTATCACTCCGCAGAAAGCTCTCGGGTGGACAAACAACTGAACAGGGAGGGGTGGGGAGCTCGAAGAAGGCTTAGTGTTCATTTGAAAATACCTGGTAAGAGGGACTATCTAGAGAAGTCTCAGGGTATTGTCCAGAGCATGCCTAACAACTATCACTCCGCAGAAAGCTCTCGGGTGGACACACGACTGAAAGGGGAGGGGTGGGGAGCTCGAAGAAGGCTTAGTGTTCATTTGAAAATACCTGGTAAGAGGGACTATCTAGAGAAGTCTCAGGGTATTGTCCAGAGCATGCCTAACAACTATCACTCCGCAGAAAGCTCTCGGGTGGACACACGACTGAAAGGGGAGGGGTGGGGAGCCTCAAGAAGGCTTAGTGTTCATTTGAAAATACCTGGTAAGAGGGACTATCTAGAGAAGTCTCAGGGTATTGTCCAGAGCATGCCTAACAACTATCACTCCGCAGAAAGCTCTCGGGTGGACAAACAACTGAACAGGGAGGGGTGGGGAGCCTCAAGAAGGCTTAGTGTTCATTTGAAAATACCTGGTAAGAGGGACTATCTAGAGAAGTCTCAGGGTATTGTCCAGAGCATGCCTAACAACTATCACTCCGCAGAAAGCTCTCGGGTGGACAAACAACTGAACAGGGAGGGGTGGGGAGCTCGAAGAAGGCTTAGTGTTCATTTGAAAATACCTGGTAAGAGGGACTATCTAGAGAAGTCTCAGGGTATTGTCCAGAGCATGCCTAACAACTATCACTCCGCAGAAAGCTCTCGGGTGGACAAACAACTGAACAGGGAGGGGTGGGGAGCTCGAAGAAGGCTTAGTGTTCATTTGAAAATACCTGGTAAGAGGGACTATCTAGAGAAGTCTCAGGGTATTGTCCAGAGCATGCCTAACAACTATCACTCCGCAGAAAGCTCTCGGGTGGACACACGACTGAAAGGGGAGGGGTGGGGAGCCTCAAGAAGGCTTAGTGTTCATTTGAAAATACCTGGTAAGAGGGACTATCTAGAGAAGTCTCAGGGTATTGTCCAGAGTATACCTAACAACTATCACTCCGCAGAAAGCTCTCGGGTGGACAAACAGCTGAACAGGGAGGGGTGGGGAGCCTCAAGAAGGCTTAGTGTTCATTTGAAAATACCTGGTAAGAGGGACTATCTAGAGAAGTCTCAGGTTATTGTCCAGAGCATGCCTAACAACTATCACTCCGCAGAAAGCTCTCGGGTGGACAAACAACTGATGAGGGAGGGGTGGGGAGCATCACGAAGGCTTAGTGTTCATTTGAAAATACCTGGTAAGAGGGACTATCTAGAGAAGTCTCAGGGTATTGTCCAGAGCATGCCTAACAACTATCACTCCGCAGAAAGCTCTCGGGTGGACAAACAACTGAACAGGGAGGGGTGGGGAGCCTGA
Protein Sequence
MPNNYHSAESSRVDKQLNREGWGARRRLSVHLKIPGKRDYLEKSQGIVQSMPNNYHSAESSRVDTRLKGEGWGASRRLSVHLKIPGKRDYLEKSQGIVQSIPNNYHSAESSRVDKQLNREGWGASRRLSVHLKIPGKRDYLEKSQGIVQSIPNNYHSAESSRVDKQLNREGWGASRRLSVYLKIPGKRDYLEKSQGIVQSMPNNYHSAESSRVDKQLNREGWGASRRLSVHLKIPGKRDYLEKSQGIVQSMPNNYHSAESSRVDKQLNREGWGARRRLSVHLKIPGKRDYLEKSQGIVQSMPNNYHSAESSRVDTRLKGEGWGASRRLSVHLKIPGKRDYLEKPQGIVQSMPNNYHSAESSRVDKQLNREGWGARRRLSVHLKIPGKKDYLEKSQGIVQSMPNNYHSAESSRVDTRLKGEGWGASRRLSVHLKIPGKRDYLEKSQGIVQSIPNNYHSAESSRVDKQLNREGWGASRRLSVHLKIPGKRDYLEKSQGIVQSIPNNYHSAESSRVDKQLNREGWGASRRLSVHLKIPGKRDYLEKSQGIVQSMPNNYHSAESSRVDKQLNREGWGARRRLSVHLKIPGKRDYLEKSQGIVQSMPNNYHSAESSRVDTRLKGEGWGARRRLSVHLKIPGKRDYLEKSQGIVQSMPNNYHSAESSRVDTRLKGEGWGASRRLSVHLKIPGKRDYLEKSQGIVQSMPNNYHSAESSRVDKQLNREGWGASRRLSVHLKIPGKRDYLEKSQGIVQSMPNNYHSAESSRVDKQLNREGWGARRRLSVHLKIPGKRDYLEKSQGIVQSMPNNYHSAESSRVDKQLNREGWGARRRLSVHLKIPGKRDYLEKSQGIVQSMPNNYHSAESSRVDTRLKGEGWGASRRLSVHLKIPGKRDYLEKSQGIVQSIPNNYHSAESSRVDKQLNREGWGASRRLSVHLKIPGKRDYLEKSQVIVQSMPNNYHSAESSRVDKQLMREGWGASRRLSVHLKIPGKRDYLEKSQGIVQSMPNNYHSAESSRVDKQLNREGWGA

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

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