Lmin001632.1


Basic Information
Transcription Factor Domain
Sequence Information
Similar Transcription Factors

Basic Information

Insect
Labia minor
Gene Symbol
CENPE_1
Assembly
GCA_963082975.1
Location
OY720344.1:25478576-25498906[+]

Transcription Factor Domain

TF Family
HMG
Domain
HMG_box domain
PFAM
PF00505
TF Group
Other Alpha-Helix Group
Description
High mobility group (HMG) box domains are involved in binding DNA, and may be involved in protein-protein interactions as well. The structure of the HMG-box domain consists of three helices in an irregular array. HMG-box domains are found in one or more copies in HMG-box proteins, which form a large, diverse family involved in the regulation of DNA-dependent processes such as transcription, replication, and strand repair, all of which require the bending and unwinding of chromatin. Many of these proteins are regulators of gene expression. HMG-box proteins are found in a variety of eukaryotic organisms, and can be broadly divided into two groups, based on sequence-dependent and sequence-independent DNA recognition; the former usually contain one HMG-box motif, while the latter can contain multiple HMG-box motifs. HMG-box domains can be found in single or multiple copies in the following protein classes: HMG1 and HMG2 non-histone components of chromatin; SRY (sex determining region Y protein) involved in differential gonadogenesis; the SOX family of transcription factors [1]; sequence-specific LEF1 (lymphoid enhancer binding factor 1) and TCF-1 (T-cell factor 1) involved in regulation of organogenesis and thymocyte differentiation [2]; structure-specific recognition protein SSRP involved in transcription and replication; MTF1 mitochondrial transcription factor; nucleolar transcription factors UBF 1/2 (upstream binding factor) involved in transcription by RNA polymerase I; Abf2 yeast ARS-binding factor [3]; yeast transcription factors lxr1, Rox1, Nhp6b and Spp41; mating type proteins (MAT) involved in the sexual reproduction of fungi [4]; and the YABBY plant-specific transcription factors.
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 0.0099 13 7.3 1.4 41 68 448 474 444 475 0.91
2 10 0.0034 4.6 8.8 1.2 41 68 522 548 496 549 0.84
3 10 0.0029 3.9 9.0 0.9 41 68 596 622 571 623 0.85
4 10 0.0041 5.4 8.6 1.7 40 68 669 696 644 697 0.81
5 10 0.0041 5.4 8.6 1.7 40 68 743 770 718 771 0.81
6 10 0.0034 4.6 8.8 1.2 41 68 818 844 792 845 0.84
7 10 0.0029 3.9 9.0 0.9 41 68 892 918 867 919 0.85
8 10 0.0034 4.6 8.8 1.2 41 68 966 992 940 993 0.84
9 10 0.0029 3.9 9.0 0.9 41 68 1040 1066 1015 1067 0.85
10 10 0.0041 5.4 8.6 1.7 40 68 1113 1140 1088 1141 0.81

Sequence Information

Coding Sequence
atggaCAATATCAAAGTGGCCATTCGGATTCGACCTTTAATCGAAAATGAAATTCTACAGAATCTTTCTGTACAAtggaattataaagaaaatttaatttttcaaatagatcctaaaacgaataaaataattaacaacaccTATCAATTtgattatatatttcatgaaaaacataaaaatgacgacgttttttcaattttagctAAACCAATAATTGATTCTGTCGTTGAAGGATATAATGGGACCATTTTTGCCTATGGTCAAACTTCATCAGgAAAAACTCATACTATGAATGGAAATTCAGAAGATGAAGGTTTAATTcctaaaactataaaatatctatttaataaagtaaactCAAATGACAGGACTTATCTAATacgagtttcatatttggaaatatataaagaaaatataatagaccttctttctaaaaagaaatatttaaaagttcgtGAACATGCTGgcaatgttgttgttgttgatttaCAAGAAGAAGTTGCCGATAGCCCCCAAAAGatatttaatttattggctTTAGGGAATCGAAATCGGCAAATAGCTGAAACGGCATTAAATGATAAAAGCTCAAGATCTCacaccatttttcgaattacAATTGAAAGTCGAGGAGTAGAAGAAGACTTTATGGAATCTCAATTAAATTTGGTCGATCTGGCAGGTTCCGAAAAAACTGATTTAAATACTGGTATTCGTTTTAAGGAAGGTTGTGCCATAAATACAagtttatttatgttaagtaaagtAATATCTCAACTAAGTGAACAGcaagagTCCACGAATCAATTTATAAGTTATCGAGACTCCAAATTAACCAGAATTTTACAAAATGCTCTTGGAGGAAATTCTTTGACAACTATTATTTGTGCTGTCACTCCAGTAGCAATTGATGAAACACATAATACTTTAggattcgcATCAAGAGCtaagaaaattcaaattaatccatctattaatgaaattatatctgATCAAGCTTTACTTAAGAAGTTTCAACAAGAAATAGAAAGCCTTCAAATTCAACTAACTgtTCCGATTGTGAATAGAAGAATGACATGGCACCGAACAACTTCATCGCAAACACCTCCTTCAAGAAAACTAAATACTTCTCACCTCGTACTTTCTactttaaaagaacaaatagaACCTTCTGACTCACCCAATTTAActgaTAGCTTCTTTAGCACTCCTTTAGAACAGTTTGATTCTGAATTAAGAGTTTTAGAAGAGCAACATTCCGCAAAAAAGGCTTTAAGTAGCAGTAACATACTGAATATAagcGATATGAACAAAGGCAATAGTGAAAATGTAGAACTGAAAAACTTAGAGGAAGAGAAAAaagcttttgaaaataaaatccagACATTAACTGAAAAGCataatgaagaattaaaaaattaccaaGAAGATAAAGAAAAGTTTGATATTATGgaaaatcaatataaagaaGCATTACAACAAATTGAAGAACTAACAAAACTTCAAAATGAACAGAACCGAATTGACaataatatttctgatgaatttaattctaaaatagcaAACTTAGAGGAAGAGAAAAagtcttttgaaaataaaatccagGAATTAACTGAAAAGCATagtgaagaattaaaaaattaccaaGAAGATAAAGAAAAGATTGATATTATGgaaaatcaatataaagaaGCATTACAACAAATTGAAGAACTAACAAAACTTCAAAATGAACAGAACCGAATTGACaataatatttctgatgaatttaattctaaaatagcaAACTTAGAGGAAGAGAAAAagtcttttgaaaataaaatccagGAATTAACTGAAAAGCATagtgaagaattaaaaaattaccaaGAAGATAAAGAAAAGTTTGATATTATGgaaaatcaatataaagaaGCATTACAACAAATTGAAGAACTAACAAAACTTCAAAATGAACAGAACCGAATTGACAATAATATTTCTGaggaatttaattctaaaatagcaAACTTAGAGGAAGAGAAAAagtcttttgaaaataaaatccagGAATTAACTGAAAAGCATagtgaagaattaaaaaattaccaaGAAGATAAAGAAAAGTTTGATATTATGgaaaatcaatataaagaaGCATTACAACAAATTGAAGAACTAACAAAACTTCAAAATGAACAGAACCGAATTGACAATAATATTTCTGaggaatttaattctaaaatagcaAACTTAGAGGAAGAGAAAAagtcttttgaaaataaaatccagGAATTAACTGAAAAGCATagtgaagaattaaaaaattaccaaGAAGATAAAGAAAAGTTTGATATTATGgaaaatcaatataaagaaGCATTACAACAAATTGAAGAACTAACAAAACTTCAAAATGAACAGAACCGAATTGACaataatatttctgatgaatttaattctaaaatagcaAACTTAGAGGAAGAGAAAAagtcttttgaaaataaaatccagGAATTAACTGAAAAGCATagtgaagaattaaaaaattaccaaGAAGATAAAGAAAAGATTGATATTATGgaaaatcaatataaagaaGCATTACAACAAATTGAAGAACTAACAAAACTTCAAAATGAACAGAACCGAATTGACaataatatttctgatgaatttaattctaaaatagcaAACTTAGAGGAAGAGAAAAagtcttttgaaaataaaatccagGAATTAACTGAAAAGCATagtgaagaattaaaaaattaccaaGAAGATAAAGAAAAGTTTGATATTATGgaaaatcaatataaagaaGCATTACAACAAATTGAAGAACTAACAAAACTTCAAAATGAACAGAACCGAATTGACaataatatttctgatgaatttaattctaaaatagcaAACTTAGAGGAAGAGAAAAagtcttttgaaaataaaatccagGAATTAACTGAAAAGCATagtgaagaattaaaaaattaccaaGAAGATAAAGAAAAGATTGATATTATGgaaaatcaatataaagaaGCATTACAACAAATTGAAGAACTAACAAAACTTCAAAATGAACAGAACCGAATTGACaataatatttctgatgaatttaattctaaaatagcaAACTTAGAGGAAGAGAAAAagtcttttgaaaataaaatccagGAATTAACTGAAAAGCATagtgaagaattaaaaaattaccaaGAAGATAAAGAAAAGATTGATATTATGgaaaatcaatataaagaaGCATTACAACAAATTGAAGAACTAACAAAACTTCAAAATGAACAGAACCGAATTGACAATAATATTTCTGaggaatttaattctaaaatagcaAACTTAGAGGAAGAGAAAAagtcttttgaaaataaaatccagGAATTAACTGAAAAGCATagtgaagaattaaaaaattaccaaGAAGATAAAGAAAAAGTTTACGAATATTTAAATGTGAATTCTACTAAAACATTTAAGTTTCATTATTTGCTACTACATTTATCTGAAGCTTGGATTCAGGGTAATTTACCAGATACTCAAGAAAATTTGGAAATCCCAACTAATTCACGTAGTTCACATCATGATTCAACTCAGAGGCTCTCTGGACAATTCAAACAGAACCAATTGGTTCTAATTTCTGAAAGCAATAATCTTCTAATTATTGCTATGAAAaactattatattaaatga
Protein Sequence
MDNIKVAIRIRPLIENEILQNLSVQWNYKENLIFQIDPKTNKIINNTYQFDYIFHEKHKNDDVFSILAKPIIDSVVEGYNGTIFAYGQTSSGKTHTMNGNSEDEGLIPKTIKYLFNKVNSNDRTYLIRVSYLEIYKENIIDLLSKKKYLKVREHAGNVVVVDLQEEVADSPQKIFNLLALGNRNRQIAETALNDKSSRSHTIFRITIESRGVEEDFMESQLNLVDLAGSEKTDLNTGIRFKEGCAINTSLFMLSKVISQLSEQQESTNQFISYRDSKLTRILQNALGGNSLTTIICAVTPVAIDETHNTLGFASRAKKIQINPSINEIISDQALLKKFQQEIESLQIQLTVPIVNRRMTWHRTTSSQTPPSRKLNTSHLVLSTLKEQIEPSDSPNLTDSFFSTPLEQFDSELRVLEEQHSAKKALSSSNILNISDMNKGNSENVELKNLEEEKKAFENKIQTLTEKHNEELKNYQEDKEKFDIMENQYKEALQQIEELTKLQNEQNRIDNNISDEFNSKIANLEEEKKSFENKIQELTEKHSEELKNYQEDKEKIDIMENQYKEALQQIEELTKLQNEQNRIDNNISDEFNSKIANLEEEKKSFENKIQELTEKHSEELKNYQEDKEKFDIMENQYKEALQQIEELTKLQNEQNRIDNNISEEFNSKIANLEEEKKSFENKIQELTEKHSEELKNYQEDKEKFDIMENQYKEALQQIEELTKLQNEQNRIDNNISEEFNSKIANLEEEKKSFENKIQELTEKHSEELKNYQEDKEKFDIMENQYKEALQQIEELTKLQNEQNRIDNNISDEFNSKIANLEEEKKSFENKIQELTEKHSEELKNYQEDKEKIDIMENQYKEALQQIEELTKLQNEQNRIDNNISDEFNSKIANLEEEKKSFENKIQELTEKHSEELKNYQEDKEKFDIMENQYKEALQQIEELTKLQNEQNRIDNNISDEFNSKIANLEEEKKSFENKIQELTEKHSEELKNYQEDKEKIDIMENQYKEALQQIEELTKLQNEQNRIDNNISDEFNSKIANLEEEKKSFENKIQELTEKHSEELKNYQEDKEKIDIMENQYKEALQQIEELTKLQNEQNRIDNNISEEFNSKIANLEEEKKSFENKIQELTEKHSEELKNYQEDKEKVYEYLNVNSTKTFKFHYLLLHLSEAWIQGNLPDTQENLEIPTNSRSSHHDSTQRLSGQFKQNQLVLISESNNLLIIAMKNYYIK

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

100% Identity
-
90% Identity
-
80% Identity
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