Basic Information

Gene Symbol
pol
Assembly
GCA_946478135.1
Location
CAMLCK010000055.1:3569848-3579352[+]

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 6 0.00057 0.042 15.0 1.6 1 23 390 412 390 412 0.98
2 6 2.9e-05 0.0022 19.0 0.2 2 23 422 443 421 443 0.98
3 6 2.2e-06 0.00016 22.6 1.0 1 23 462 484 462 484 0.98
4 6 0.0029 0.22 12.7 7.3 1 23 490 512 490 512 0.97
5 6 8.5e-05 0.0064 17.6 0.8 1 23 518 540 518 540 0.97
6 6 5.8e-05 0.0043 18.1 1.4 1 23 546 568 546 568 0.96

Sequence Information

Coding Sequence
ATGGCAATGGCAGCCACAACCACTAATGAAAGTAATCTGCCCACTATCCGATCAATCAATGACACGGATCCGTACCACAATATTCTCAAACGGTACCCAGACATTACTAAACCTGAATCTTATAAAGATATACCCAAGCACAATGTACAACATCACATCATTACCAAAGGACCACCAGTGTACGAGAAAGCACGACCACTAAGTCCTGCCAAATATAAAGCAGCTAAGCAAGAATTTGAGCGAATGGTCGAACTTGGTATTTGCCGACCATCCACTAGCCCTTGGGCCAACGCTCTGCATgtagtcaacaaaaaaaatggagAATTACGACCATGTGGTGATTACCGACGGCTAAACTCCATAACAGAGCCAGACCGTTATCCAATTCCACGACTGCTCGACTTTACATACATACTCAGAAACAAAGTCGTTCTATCAAAAATCGACATTCGACGGGCATACCATCATATACCTATTGCACCTGAAGACATACCTAAAAGCGCTGTAATTACCCCTTTTGGCCTATATGAATTCTGTAGAGTCAATTTCGGTCTTCGTAACGGAGCACAGAGCTTCCAAAGattcataaatcaaataatgactggcgttaaaaacgtattttgctaCCTAGACGACATTTTAGTAGcatcaaccgacgaaaaatcaCACTACGAAGACCTAGAGGAAGTGTTCAAACGTCTCAACGAATACGGCGTAACAATAAACACAAACAAATGCGAATTCGGCAAAAAAGAACTCAAGTTCTTAGGATATCATATCACGTGCCAAGGCGTAAAACCGGACGAAGATAAGATTCAACTCGATGAAGCTTTACCACTACCGAAAAACTTGTGTAGTAGTTGTTATAACTGTCTAATTAGCTTCTACGACTTCAAGAAACTTGCAGAGAAAGTTGATCTGCAACTTCATCAATACTATGATAATATTATATCAGATCAAAAAGAGGTTTTTTCAGAAACACCCATTAAAGTTGAGAACAATTGTGATTCAAATGAATATGAATTCCCTGAGTTTGACTTAGAAGAAATAAAAGAAGATTCTGAAAGTAGTGAGAATTGTCCCCTGAGCAATATTCTGGGCTCTTCCTCTGagtataatttaaaaagtagGAAGCTGATAAAAAAGCTGAAGCATCGGAAGAGTTCATTTAAATGTCTGCAATGTCCAAAGTCATTTAAAGAACGTCTAAAATTTGAGAAACATCTTGAGATTCATGAGAGTGACAATGCATCAGGACCTGTGCAGTGTGAAGTTTGTTTAACAACATTCCGATCAGCCAACTCATTATCTGCTCATATGCGAATACATGTGCCTAAAGGAGAAATGCAGAGGCACGAAAGAACCCACTTAGGTTTGAAGGCTTTCATATGTGAACGTTGCGACTCCGCGTTTACGACAAATAGTTCACTGAAGATACATATGCGCAAACATCTTAATGTTAGAGCATATCAGTGCGATACATGCTCTATGAAGTTTACACGCAAAGAACATCTGATAACCCATTGCCGGAAGCATACGGGAGAGAAGCCATTTCACTGTGACCTGTGTGAACGTGCATTTGCACAAAGTGGAGACTTGCTTAAGCACAAAAGGGCGCATTTCGGTGTCAATATGTATAAATGTGATCAATGCTCAGAGAGCTTCAGACTGAAATCACTGTTACGTCAACATTTGTCAGACCACTACGTTACAGCCAAAAAAATGAATGATAACAACACGGATAATATAGTCAACAAACATAATGTTACTGTGGATAACTCagagatttaa
Protein Sequence
MAMAATTTNESNLPTIRSINDTDPYHNILKRYPDITKPESYKDIPKHNVQHHIITKGPPVYEKARPLSPAKYKAAKQEFERMVELGICRPSTSPWANALHVVNKKNGELRPCGDYRRLNSITEPDRYPIPRLLDFTYILRNKVVLSKIDIRRAYHHIPIAPEDIPKSAVITPFGLYEFCRVNFGLRNGAQSFQRFINQIMTGVKNVFCYLDDILVASTDEKSHYEDLEEVFKRLNEYGVTINTNKCEFGKKELKFLGYHITCQGVKPDEDKIQLDEALPLPKNLCSSCYNCLISFYDFKKLAEKVDLQLHQYYDNIISDQKEVFSETPIKVENNCDSNEYEFPEFDLEEIKEDSESSENCPLSNILGSSSEYNLKSRKLIKKLKHRKSSFKCLQCPKSFKERLKFEKHLEIHESDNASGPVQCEVCLTTFRSANSLSAHMRIHVPKGEMQRHERTHLGLKAFICERCDSAFTTNSSLKIHMRKHLNVRAYQCDTCSMKFTRKEHLITHCRKHTGEKPFHCDLCERAFAQSGDLLKHKRAHFGVNMYKCDQCSESFRLKSLLRQHLSDHYVTAKKMNDNNTDNIVNKHNVTVDNSEI

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

100% Identity
-
90% Identity
-
80% Identity
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