Ucar010891.1
Basic Information
- Insect
- Uropetala carovei
- Gene Symbol
- Znf784
- Assembly
- GCA_036926305.1
- Location
- JAXCHB010000016.1:5080225-5093892[+]
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 13 1.8 1e+03 3.1 0.4 2 23 150 172 149 172 0.85 2 13 2.2 1.2e+03 2.9 0.1 9 23 257 272 256 272 0.92 3 13 0.028 16 8.8 3.4 1 23 279 302 279 302 0.93 4 13 0.5 2.8e+02 4.9 0.4 2 23 589 611 588 611 0.93 5 13 1.9 1.1e+03 3.1 1.0 3 23 617 638 615 638 0.90 6 13 0.0049 2.8 11.2 2.0 2 23 684 706 683 706 0.92 7 13 0.0017 0.99 12.6 2.7 2 23 716 737 715 737 0.95 8 13 0.00016 0.089 15.9 1.0 1 23 750 772 750 772 0.98 9 13 0.0018 1 12.5 2.6 1 23 793 816 793 816 0.97 10 13 0.00018 0.1 15.7 0.7 3 23 827 847 825 847 0.98 11 13 3.1e-06 0.0018 21.2 0.2 1 23 853 876 853 876 0.91 12 13 0.0027 1.5 12.0 0.7 2 23 893 915 892 915 0.91 13 13 0.00045 0.26 14.5 0.2 1 23 921 944 921 944 0.95
Sequence Information
- Coding Sequence
- atgattaatacCAGGCAAGCGACAGACCGAAAAGCAGGTTATAAAACAAGTGGCTGTTTCCCTAGGAACTCGGTCACTCATCTGGATATACCCCATAATTCTAAACAAAATGGATCATTAATGAGGACCACCACATCGAAAATCGAAGGTCGCAAGGCTCCTGGCGCTAATCGCATTTTACCTCTCATCACTAGTGTTTGGGAGGATACAGAATTGCATTGGAAGAGGCAAAAGTCACCTAAAGCTGgTGGTGGGAGAAGGGATAGTAAAGGAAAACTTTCACATTCAAATAAGAAAAACGTGCAAGGGACTGTGACATTGGATGAGGGATCAGAGGAAGAGGAATGGTCAGAAAGGCGTGAAATAGATGACCATGGGGGAAGCATCTACAGAGCATATGCTGATTTTTTCATGGCTGAAGAAGTTGGTGAGGATAGAGAAGATTGTATTTGTTCAGAGTGTGGTGCAGAATTTCTGACTGCAACACATGTTGCTCTCCACTTGGAAGATCTTCATAATAAGGGAGGAGTCAAACTGCACCAGtgCTTTGTTTGTCGGCGAAAACGTTACCCCGCCCTTATGCAGCTAAATCAACACCTCTCTGAAGCTCATGGAATTCCACATCCACAGCTAACTTGCCGTACTTGCTTTATGGAACTTGCTGGAGAATCTGAGGCAAAAGCTCACTCTCGAAAGCATCAGACTCCTTACAAATGCTCACGTTGCCCATTGTCTCACTCTCAAAAtggacatAGTGCTTCAATACCTCGCTTTGCAACGAGATTTCTTCTCGCAGAGCATATGAGAGAAATTCATCTTCCACGTGAAAGGCCTTACGTTTGCAGTATTTGTGGACGTCATTTTATCCATCAATTTGTTCGAGATTTGCATATGCAGAGAAGACATCAGGCCCATACTCTAATTTGTCCTGAAGTTCGTCACTGTTCACCATCACCCTTTCAAGAAATTGTTTCAGTTAAACCAAGAGACTCCCCTAGTTGTGCTTTAGTAAATCCTTTTGTTTTTACAACTTTAACTAGCAGAATAAACAGGACTAGTTTGGGAGGTGAAGAAAGTTACAGGAGAGCCAACTCTTTCTTAGAAAATAAAGGCCAGTCGATTTCCTGTAAACAGAATCAAACATATGTTGATATTGCTAGGGATAAAAGTGAAAAGCTTCCTGGCAATTTGAGGTTGACACAGCAGCAAAGTTCTTTTTGCTGTTCAAAGGGTAGTTTTATCTTTCCAGATGAGGTTTCTCTTCTACGCCATGTGTTTCTGTCCCATGATAAAACATTGCGTCTTCAGTTACTAAAATGTGCAAGGGAAGCAGACAGAGAAGACACTTTGTTTGAGGGACTCTGGAAGGCATATTTGAATATCTCCAGCAAACAAAATTCTCTTAATATTACGTACAATACTGACTTGGCATCAATGTCATCTAAAGGTGGGCTGCTGCATGGCAAATGTCACACTGAATCAACCTTTTCTGCCATTGAAAATGCCTTTGATGCAGCACCTGTGGATGCCATGGCTCATCAGACAACTTCAAATATTGAatcccaaaaaaataaagacagcACAAAGCTTTCAGAAATTTCTGCTGAGGAAGCTCAACCTAACATAGAAATACCAGATTCCATTAATTTCTGCCTGATGGACATTTTAGACAGTGTATGTGATGTTTTCAATGGGAGCTTGTCTCAGAAAGAGTTAAGAAATCGATCTGGCAATAACAGTCATCAGAGAAGCCTTTCGAGTGTTAGATGCTTGTTATGCCGTTATTTGGCATCCAATCCATTGGCTTTGGAAAGGCATCGTCGCCGGAGACATTTTCGCAACAAGCATTGTCCATTCTGCTCTTTGGCGTGTTCATCTGTAGATGCTGTCTGGAGGCATGTCTCAGATATGCATCTAAGCTCTCCCAATAAGTCCTTTCTTTGTTGCCATTTTAAGTCAAAAGCAGAAGAGAATATTACCACTGAAGGACCTGAAGAACTGCAGCAAAAAATTCAATCTCAAAAACTATCACAATCTTCCTCTGGTCTGAGATGCCCAGTTTGCAAGAAAGTATTTTCATCAAGAGGCAAGTGCAACAGTCACCAGGAGAATGTTCATAAGGTTGAAGTTGTTTCCCGCCCACTAAGTTGTAGTATATGCTCCAAGAAATTCCAATTTCAGAAAGCTTTGGAAAGGCACCACCTCCTGCATAGCCAGGATAAAGTAGAAGATAAAACCGAAATACCATACAGTTGCCCTCACTGTGAGCAGACCTTCTTACGTCCTGGGTTTCTTAAACGACATATAGCCTCTCATTTTGAAGAcgtgaggaaggaagggaagggaaaggcCATTGTGGCAAAAGGTCCTTTGGGCCACTCATGTCCGTCTTGCTCCCGAAGGCTCCCCACTCATGCCAAACTGAAGGCTCATATCCGAACCTCTCACCCGCCATCTCACCTTAGGCAGAGGTTTGGGTGTAACCAGTGTCCTGTGCGATGTAACACTGCTTCAGGATTGAGAGTGCACATGCGGGTGCATACAGGGGAACGGCCTTTCCCATGCAGCATATGCGATATGAGTTTCAAGCGACAAACTGCTCTACGGAAGCATATTGTTGCAGTCCATACAGTTCCTTCAGAGTCTTCTGCATTAGAGACTGTTGGAAGTTTTCTTAAGTGCCCTAACTGCATGTCTTCGTTTAGAGACCGCAGTAACCTTGTGCGTCATTTTCTTCAGGTACATAGAGGTTTGCGACGTTTTGTTTGTGGACTATGTGGTGCAAAATATGGCCAAAACCAAGACTTACGACGTCATCTTAAAGGAAACCATGGTGTGGATGCCCCTCGTATAATTGGGTCTGATCGTAGGAGTGTTGAtcagCGTCCTTTTACACTTCGCGTCCACTCTCTTTTCTCGCAACCCTTTTGCACCGAGcccctttactctctctctctcactctctctgctCTAGCCCCCCTAGTGTCACCTAGCGGGGAGTGA
- Protein Sequence
- MINTRQATDRKAGYKTSGCFPRNSVTHLDIPHNSKQNGSLMRTTTSKIEGRKAPGANRILPLITSVWEDTELHWKRQKSPKAGGGRRDSKGKLSHSNKKNVQGTVTLDEGSEEEEWSERREIDDHGGSIYRAYADFFMAEEVGEDREDCICSECGAEFLTATHVALHLEDLHNKGGVKLHQCFVCRRKRYPALMQLNQHLSEAHGIPHPQLTCRTCFMELAGESEAKAHSRKHQTPYKCSRCPLSHSQNGHSASIPRFATRFLLAEHMREIHLPRERPYVCSICGRHFIHQFVRDLHMQRRHQAHTLICPEVRHCSPSPFQEIVSVKPRDSPSCALVNPFVFTTLTSRINRTSLGGEESYRRANSFLENKGQSISCKQNQTYVDIARDKSEKLPGNLRLTQQQSSFCCSKGSFIFPDEVSLLRHVFLSHDKTLRLQLLKCAREADREDTLFEGLWKAYLNISSKQNSLNITYNTDLASMSSKGGLLHGKCHTESTFSAIENAFDAAPVDAMAHQTTSNIESQKNKDSTKLSEISAEEAQPNIEIPDSINFCLMDILDSVCDVFNGSLSQKELRNRSGNNSHQRSLSSVRCLLCRYLASNPLALERHRRRRHFRNKHCPFCSLACSSVDAVWRHVSDMHLSSPNKSFLCCHFKSKAEENITTEGPEELQQKIQSQKLSQSSSGLRCPVCKKVFSSRGKCNSHQENVHKVEVVSRPLSCSICSKKFQFQKALERHHLLHSQDKVEDKTEIPYSCPHCEQTFLRPGFLKRHIASHFEDVRKEGKGKAIVAKGPLGHSCPSCSRRLPTHAKLKAHIRTSHPPSHLRQRFGCNQCPVRCNTASGLRVHMRVHTGERPFPCSICDMSFKRQTALRKHIVAVHTVPSESSALETVGSFLKCPNCMSSFRDRSNLVRHFLQVHRGLRRFVCGLCGAKYGQNQDLRRHLKGNHGVDAPRIIGSDRRSVDQRPFTLRVHSLFSQPFCTEPLYSLSLTLSALAPLVSPSGE
Similar Transcription Factors
Sequence clustering based on sequence similarity using MMseqs2
- 100% Identity
- -
- 90% Identity
- -
- 80% Identity
- -