Ster001623.2
Basic Information
- Insect
- Sisyra terminalis
- Gene Symbol
- prdm10_1
- Assembly
- GCA_958496175.1
- Location
- OY292274.1:29208984-29214062[+]
Transcription Factor Domain
- TF Family
- zf-C2H2
- Domain
- zf-C2H2 domain
- PFAM
- PF00096
- TF Group
- Zinc-Coordinating Group
- Description
- The C2H2 zinc finger is the classical zinc finger domain. The two conserved cysteines and histidines co-ordinate a zinc ion. The following pattern describes the zinc finger. #-X-C-X(1-5)-C-X3-#-X5-#-X2-H-X(3-6)-[H/C] Where X can be any amino acid, and numbers in brackets indicate the number of residues. The positions marked # are those that are important for the stable fold of the zinc finger. The final position can be either his or cys. The C2H2 zinc finger is composed of two short beta strands followed by an alpha helix. The amino terminal part of the helix binds the major groove in DNA binding zinc fingers. The accepted consensus binding sequence for Sp1 is usually defined by the asymmetric hexanucleotide core GGGCGG but this sequence does not include, among others, the GAG (=CTC) repeat that constitutes a high-affinity site for Sp1 binding to the wt1 promoter [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 12 0.24 16 6.4 0.4 2 23 191 212 190 212 0.96 2 12 0.035 2.3 9.0 2.6 2 23 223 245 222 245 0.95 3 12 0.00021 0.014 16.0 2.3 1 23 440 462 440 462 0.98 4 12 0.72 48 4.9 2.5 1 20 466 485 466 487 0.91 5 12 0.0026 0.17 12.6 0.5 3 23 496 516 494 516 0.93 6 12 0.00028 0.018 15.6 5.3 1 23 538 561 538 561 0.96 7 12 0.00011 0.0071 16.9 0.7 3 23 570 590 568 590 0.97 8 12 0.012 0.77 10.5 1.9 1 23 595 617 595 617 0.85 9 12 6.9e-07 4.6e-05 23.8 2.5 1 23 622 644 622 644 0.99 10 12 9.4e-06 0.00062 20.3 2.9 1 23 650 673 650 673 0.98 11 12 0.0047 0.31 11.8 1.7 1 23 713 736 713 736 0.91 12 12 0.0013 0.085 13.5 2.4 1 23 741 764 741 764 0.97
Sequence Information
- Coding Sequence
- ATGTGTGTTATTCTTAATGCCGCAAAGCatattaaagataaaataattttttcacgaGCAAGGCTAACACTTCCTTCAGAACTTCGAATAGAAAATATGTCGGATGGTAGTACAAATATAATTTCACAAGTGCCTTTACCTAAAGGAACCCGTTTTGGGCCCTATGAAGgaaaaaaagtacaaatattAAATCCTTTAGTACAATTTCCTATAAAGTTATTTGGAAAAGAGgttgaaaatgattattattttgagCCTCATGAAGATTTATCAAACTGGATGATTTTTGTTACACCAGCATCTAACATTGAAGAACAAAATTTAGTTTGTTATCAGttaaaaaacgaaatttacTTTTCAACAAACAAAGACGTAAACGCAGGCgagtttttgaaagtttggtaCGCTTGTTATTACGCAGAAAAAATGGGTTCACCACTTTTAAATAATCGAACTCCGGTTGAAATTCCCATGCCAGATACTGATTTAGaaaaagcATATGTTCAAAAAGTTGCTGAAACTCTTCCTGCAGTTAAACTTGGTGCTGTTGATGATGAAATTAGCTCATGGACTTGCAaattttgtttagaaaattttacaaacgtTGTTCCTTTTGCAAAACATTTACAAAATCATTACCGAGAAATAAGTCGGAATCCATCGTTGATATGcaatatttgtcaaaaatattgtttctcaGAAAAGAGTTtcataaatcatcaaaaaatggAACATCCTTCAATTGTTGTTCACAAGGGCGAAGAAACTTTAAGtacaaatcaaattaataatacagcaatcaatttgaattttaataattcatctGAGATCTCTGTTGATGAATCTCCTAAAACATTTTGTAAATTGCCTCCATTCAATTCTACGGTGGAATTTAATTCTAAAAGTGTTGTGTGCGATGCTTTAGTTGGAGGTCAAACACATGATCAGCTAGAACCATCTTCCcttttagaaaatatatctatacattcaattaattataaccAAGATATTATGAATAACGTTATGCTATCAAAAATGTCTGAATTCAATGATCATATAAAGTTTGATCTCAAAGATTCAACAGATATAACAGATACTTTAAATCCTGATGCATTACATGACATATTATGTGAAGATACTTCGAAAGCAAGTAAAATTGCACAAGAAAAAAGCATCGCTGATTTCAGTCTTGATTTCGTGGAAACTAATATTATGAGTTTGAATTCCAACGATACCATTGATACATTATGTAGTGATTTATCTACCCAAGAAAATATTGCTCCATCAGCGAAAGAAGCTGCAACACTTGAACCACCTTTTTCTTGTgatatttgtaaaaaagaatttcaaaccatcaaatatttattacgacatttaaaaaaacacacaGGAGAATTCACGTGTATCTATTGTCATGTTGTGTTTGGACGTcgtgaaaattatataaaccaTAGCTGTAAAAGAACTATGGAAATTGGACTTGAATGCATTTATTGCTCTAAACAATTTGCTgagcaaaaatatttgaaccgCCATTTAGAAActcataaacaaaaaattattcgaaaaacTCAAAACCCAACTAATACCACAGTTGACGAAGATAAGAAGTTCCAGTGCAAAATGTGTAACATGAAGTTCAGTAAATCAGCATATTTACGAAGACATGTTAAAAATTGCCATAAGGATACTGGCGGGATTCAGATCTGTTATATATGtggtgaaattttcaaaaaatcttacCTTTTGCATCAGCACATAATTACACAtcaaacaaaaaagttttcatgtGATATATGTGACAAAAAGTTTAATCGCCAAGATGTGTGTAATGCTCACAAACTAGCACATCAAGAATGCCAGtttcaatGCAACGTttgttcaaaagtttttaagaGAGAAAAGAATTTAAAACTTCATATGTATACTCATACGGATCCTTATAAGTACAAATGTGATTATTGTGAAAGATCTTTCATACAAAGTTACAACTACGACAAACATCTCAAAACTCGTCATCCTAATGAACAAACCAAGCCAAAAGATTctcaaaatataaatgatacCGAACAAAAATCAAAGGACACAACACAATTACAAGAAGACTCTAACAATActcaattaaatgaaaaaaattttagttgcCAATATTGTAATATGTTATTTGTTAagaaatatgaattaaataatcatTACGTCCAAAGCCATATTGAACGAATGTTTTCTTGCCCGTATTGTAAAACTGTTGTAAAACATCGAGCTTCAATAAGAAGACATCTAATGAAAACACATCGAGAAAAACAGTCTGAATGGGACAATCCTAATTTCATAAGAAACTTAATATCATTAAAAGATCCAATAGATgagaaaaaagttattaaaagtgAAGATAAGATACAAAATAATGAAGTGCATTCAACTGCTAATATAACGAGCGATGAAaatggaaatgaaaatattttatcggtTGATCCCAGTGATAACTGTGATAATATATTATCTAAATTAACCACTGCCAATTCTCCTCAAGTTAATTCAACACAGTATTTCAACGCAAATGTTGCAATTCAAAACATGATATACTTGAAAGATAATTTAAGTTTGGTGAAAGATGATGAATATGATAGTATagaaaatgaatcaaaattaaatcaattctcTGACTTAACGAATGTTAATCTTCAATATTCAAATGAAAGTAATGATGTTTATGATGTGGCTGTTAAACGACAAAGAATAGAATCAGACCGTCCAGCTGATTTTGAATTAATGGATATTCAATCTCTTATTACTTCTGATAATGGTTTGCTACActtttcaaatgaaatcaattcaaatttgatgGAATTGAATCGCACAAATATAACTGAAACTATAAGCTCAACTACAACCGATGaaATTAGTTCCGGACCAACTACTAATATGATACAACTAAGTGATAATGATAGTGCAATAACTTTAGGCAGAGATGCTTATATTTTAGAAGACGGAATAATTGTCGCGCCTCAAGAAACAGGAAATGTTATGTTTTACGTACTTAATCAGTAA
- Protein Sequence
- MCVILNAAKHIKDKIIFSRARLTLPSELRIENMSDGSTNIISQVPLPKGTRFGPYEGKKVQILNPLVQFPIKLFGKEVENDYYFEPHEDLSNWMIFVTPASNIEEQNLVCYQLKNEIYFSTNKDVNAGEFLKVWYACYYAEKMGSPLLNNRTPVEIPMPDTDLEKAYVQKVAETLPAVKLGAVDDEISSWTCKFCLENFTNVVPFAKHLQNHYREISRNPSLICNICQKYCFSEKSFINHQKMEHPSIVVHKGEETLSTNQINNTAINLNFNNSSEISVDESPKTFCKLPPFNSTVEFNSKSVVCDALVGGQTHDQLEPSSLLENISIHSINYNQDIMNNVMLSKMSEFNDHIKFDLKDSTDITDTLNPDALHDILCEDTSKASKIAQEKSIADFSLDFVETNIMSLNSNDTIDTLCSDLSTQENIAPSAKEAATLEPPFSCDICKKEFQTIKYLLRHLKKHTGEFTCIYCHVVFGRRENYINHSCKRTMEIGLECIYCSKQFAEQKYLNRHLETHKQKIIRKTQNPTNTTVDEDKKFQCKMCNMKFSKSAYLRRHVKNCHKDTGGIQICYICGEIFKKSYLLHQHIITHQTKKFSCDICDKKFNRQDVCNAHKLAHQECQFQCNVCSKVFKREKNLKLHMYTHTDPYKYKCDYCERSFIQSYNYDKHLKTRHPNEQTKPKDSQNINDTEQKSKDTTQLQEDSNNTQLNEKNFSCQYCNMLFVKKYELNNHYVQSHIERMFSCPYCKTVVKHRASIRRHLMKTHREKQSEWDNPNFIRNLISLKDPIDEKKVIKSEDKIQNNEVHSTANITSDENGNENILSVDPSDNCDNILSKLTTANSPQVNSTQYFNANVAIQNMIYLKDNLSLVKDDEYDSIENESKLNQFSDLTNVNLQYSNESNDVYDVAVKRQRIESDRPADFELMDIQSLITSDNGLLHFSNEINSNLMELNRTNITETISSTTTDEISSGPTTNMIQLSDNDSAITLGRDAYILEDGIIVAPQETGNVMFYVLNQ
Similar Transcription Factors
Sequence clustering based on sequence similarity using MMseqs2
- 100% Identity
- -
- 90% Identity
- -
- 80% Identity
- -