Gleg008483.1
Basic Information
- Insect
- Goniozus legneri
- Gene Symbol
- -
- Assembly
- GCA_003055095.1
- Location
- NCVS01000114.1:368888-372954[+]
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 0.55 42 4.6 1.3 1 23 304 326 304 326 0.83 2 12 6.7e-07 5.2e-05 23.2 1.3 1 23 331 355 331 355 0.93 3 12 0.0083 0.64 10.3 1.6 1 23 427 450 427 450 0.93 4 12 1.4e-05 0.0011 19.0 0.4 1 23 456 478 456 478 0.98 5 12 0.0025 0.19 11.9 0.1 1 23 491 514 491 514 0.89 6 12 1.9e-07 1.5e-05 24.9 3.6 1 23 520 542 520 542 0.98 7 12 5.7e-06 0.00044 20.2 0.9 1 23 548 570 548 570 0.98 8 12 2.7e-05 0.002 18.1 2.0 1 23 576 598 576 598 0.97 9 12 1.1e-08 8.6e-07 28.8 1.8 1 23 604 626 604 626 0.99 10 12 9.2e-06 0.00071 19.6 5.7 1 23 632 654 632 654 0.98 11 12 9.1e-06 0.0007 19.6 1.6 1 23 688 710 688 710 0.98 12 12 2.1e-07 1.6e-05 24.8 1.5 1 23 716 738 716 738 0.98
Sequence Information
- Coding Sequence
- ATGGCAGAAGTTAGCCTTTACGATTCTACTATTTGTCGTTTGTGTGCGGAAAATAACGGAAATGGCGAATTGCTATATATTAATGAGAATAGTGAGCAGGACTTATGTTCCATGATAAATCGTTACTTGCCGCTAAAGGTTCAGGATGATGGCAAATTACCACGTACAATTTGTCCTGGTTGTAATATACAGCTAGAATCCACAGTACAGTTTTTTGATCTATTGGTTGAAGGACAACGcaaaattcgagaaatgtATAAACAGCAAGTGGAACAGCGTAGGAAAGCAGAACGAGAACGAATAAGAGTAGAAAAAGGGGgtactgaaattttaattgataaagcTGACATTGATGGCAATAATCAGAGTCACAAAGATGATCAATTTGAACaacaaattataatcaaagTATTACCAGATGGCTCTTTATATGCAACTGAGCATGAAATGAGCTTGCAGATGGAAGGCTTGAATAAACCTAGACGAAAAAGGGGAAGACCACCTAAAATACAAGCCGAAAATGATTTCAAAGTAAcaaataaagatgaaaattttgaactgGCTAgtcaagaagaagaagataagCAAGAAGAAGATGATGATTTAGAGAATGATGGAGATGGAAGACGACGTAGAAAACGTAAAGTGCCAAAACGATATATGGAGGCTGTGCAAGGGAAAGAAttagaaagaatttttaaagaagAAGGTGTGATAGatgaagaagaggaggaagaccTTAATAATGTTCATGAGGGCGAAGAAAGGATAAATGTAGCTACTCCAGATGGTCAAGAAGAAATTATTGGACATTTAGAAACTGAAGAAGGAAAAGATTTGGGCGAATTAGttatagtaaataaaaatagaggaaGAGGTAGACCAAAACTccgtaggagaaaaaataagtttacCTGTCAATTATGTGGTCGTGGATTTTTACAACGTAATAGATACATTGTTCACAAGAGTTTCCATAAAGGAGCAAAATATGAATGTACAGAgtgtaaaaaagttttcactaataaagataattttaatttgcacCAAAAAAGAGCAGGACATACAGGAAGTGAAATAGTTGAAACTTGTGAAAAATCGCCAAATGATGAACAAGATAATTCTATGGAATCGCTGGTTGAGATGAAAGATAATTCATTGACTGATAGTGCCATTACTGAATCTTCATCAATAGAGAATGCAGCTTCAAAAACAGAGgatttaataaatacaacTGAAAAGTTGGATGAAGATACATCTAATATTActatgaataaatttgcatGTGAACAGTGCAATAAGAAATTCGAATCAAGAGATGAATGTCAGCTTCATATAAAAGATGCacatgaaaatgaaaaacaattctcTTGCGCTGTATGCAATAAAACATTTGCAACAGAAACAGCTTTGAAAACTCATGTATCTACTCATGATCATAACAAATCggaacaaaaacaaaaatatggtTATCCGTGTGACATTTGTGGAAAAGTCTTGAATCATCCCAGTTCGGTCGTTTATCACAAGGAGGCTGAACATAATGATGGACGTCGTTTTGTATGTAACAAATgtggaaaaagttttaaacATAAGCAACTTTTACAAAGACATCAGCTCGTCCACTCGGATGATCGTCCTTATGTCTGTAAATCTTGCTCGGCTAGCTTTAAGACTAAAgctaatttaattaatcatcaATCTACACATACAGGAGAAAAGAAGTATTTCTGTGAAATATGCGGTCAACAGTTTGCTCATAAGACTAGTTTAACTTTACATTAcagGTGGCATACAGGCCATAAACCATATACATGCGAAGTTTGTCATAAAAGTTTTTCACAGAATGGCAATCTTCAAGAACATATGCGCATCCATACTGGAGAGAAACCTTATTGCTGTGATTATTGTGGAAGAAAATTCACAACTTCATCACAATTCAAACTTCATGTTAAAAGACATACGGGTGAACGGCCATGGAAATGTGAATTTTGtgcaaaatgttttttacaTAAAGATACCTGGAAATGTCACGTGAGACGTCATAAAGGAGAAAGACCTTTCCAGTGTGCTCATTGTAATCGAGGTTTTACTGAACAATGGGCTTTAAAGAAGCATTTACGCTTGCATACAGGAGAAAAACCTTATTCTTGTGATGTTTGTGGAAAAGCCTTTGCAGATTGTTCAAATTTGACTAAacataaaaaagttcatagagaaaataaagtattAGCTGTTACGGAAGCAGCTGAAGGTTCTCCGATAAACGAAGTTTGGCAAATTCTTCCTGACTCTCAAGAAactgatgaaaattcaatcgctgATCAAATGACTCATGTAATAGCAACTGACGAAGCTTCCGCGCAATTCATTTATGTCTCATATCAGGACCCAGATGATCCTAATCAGTCAAGGACATTACACTTTGTTGATGCGGCGAGTATAATGAATtcaaagaatgaaattcctaGCGGTCAAAGACATCTTCCAAATTTAACGGCAGAAGAAGTGATCATACCCGAGGAGAATCAAACCGAAGTAAATCAGAGTCGTGTTAATGTTGATCTTACTGAACCTGATTTACAATTGCAGATCACAGATGAGGAAGGTAATCTAATACCTCTCTCGATACAAGGGGCTCGTCAATTGCTCTCAGAAGGACAATTTGTAAGTCAGTTGAATGATGGACAAACAATAAGAGTACATTCTGGAGAAATAACTCAAGAATTTGCTCAGACATTGAATATCCATGAAAATAATCAGATAAAATCAGAggaagataatgaaaattgtaaagaTGCAACTATAATCTCAACTTCTCAATCTGATGCAGAGGCAATTGTTAAAGCATTGGAgGGTGAGGATTCTAATGCAGATACTGTTGCAacaattaatcaaattgaGGGGGATCAAGCTGAAATGGTAGATGGTGAACAAACTATTGAGTTTACTACTCAAGATGGTCAGAAACTTCGGCTTGTCACGTCCTATCATGTTGATCCTCTGACACTAGCATCTGAATATTTAACTAttgtgtaa
- Protein Sequence
- MAEVSLYDSTICRLCAENNGNGELLYINENSEQDLCSMINRYLPLKVQDDGKLPRTICPGCNIQLESTVQFFDLLVEGQRKIREMYKQQVEQRRKAERERIRVEKGGTEILIDKADIDGNNQSHKDDQFEQQIIIKVLPDGSLYATEHEMSLQMEGLNKPRRKRGRPPKIQAENDFKVTNKDENFELASQEEEDKQEEDDDLENDGDGRRRRKRKVPKRYMEAVQGKELERIFKEEGVIDEEEEEDLNNVHEGEERINVATPDGQEEIIGHLETEEGKDLGELVIVNKNRGRGRPKLRRRKNKFTCQLCGRGFLQRNRYIVHKSFHKGAKYECTECKKVFTNKDNFNLHQKRAGHTGSEIVETCEKSPNDEQDNSMESLVEMKDNSLTDSAITESSSIENAASKTEDLINTTEKLDEDTSNITMNKFACEQCNKKFESRDECQLHIKDAHENEKQFSCAVCNKTFATETALKTHVSTHDHNKSEQKQKYGYPCDICGKVLNHPSSVVYHKEAEHNDGRRFVCNKCGKSFKHKQLLQRHQLVHSDDRPYVCKSCSASFKTKANLINHQSTHTGEKKYFCEICGQQFAHKTSLTLHYRWHTGHKPYTCEVCHKSFSQNGNLQEHMRIHTGEKPYCCDYCGRKFTTSSQFKLHVKRHTGERPWKCEFCAKCFLHKDTWKCHVRRHKGERPFQCAHCNRGFTEQWALKKHLRLHTGEKPYSCDVCGKAFADCSNLTKHKKVHRENKVLAVTEAAEGSPINEVWQILPDSQETDENSIADQMTHVIATDEASAQFIYVSYQDPDDPNQSRTLHFVDAASIMNSKNEIPSGQRHLPNLTAEEVIIPEENQTEVNQSRVNVDLTEPDLQLQITDEEGNLIPLSIQGARQLLSEGQFVSQLNDGQTIRVHSGEITQEFAQTLNIHENNQIKSEEDNENCKDATIISTSQSDAEAIVKALEGEDSNADTVATINQIEGDQAEMVDGEQTIEFTTQDGQKLRLVTSYHVDPLTLASEYLTIV
Similar Transcription Factors
Sequence clustering based on sequence similarity using MMseqs2
- 100% Identity
- -
- 90% Identity
- -
- 80% Identity
- -