Basic Information

Gene Symbol
-
Assembly
GCA_950111635.2
Location
OX467711.1:4919727-4924777[+]

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 10 0.11 28 7.1 1.9 2 20 165 183 164 187 0.80
2 10 0.0042 1 11.6 0.3 1 23 193 216 193 216 0.97
3 10 2.3e-07 5.6e-05 25.0 0.9 1 23 222 244 222 244 0.97
4 10 4.1e-08 1e-05 27.3 2.9 1 23 250 272 250 272 0.98
5 10 3.4e-07 8.5e-05 24.4 0.1 1 23 278 300 278 300 0.97
6 10 8.7e-06 0.0021 20.0 3.0 1 23 306 328 306 328 0.98
7 10 6e-06 0.0015 20.5 1.0 1 23 431 453 431 453 0.98
8 10 2e-06 0.0005 22.0 1.0 1 23 459 481 459 481 0.98
9 10 6.6e-07 0.00016 23.6 2.2 1 23 487 509 487 509 0.99
10 10 1.5e-06 0.00037 22.4 1.1 2 23 516 537 515 537 0.97

Sequence Information

Coding Sequence
ATGGAGTCCTGGAGAAGTTATGCAACTATTTGTAGGTTGTGTTTACAGAAAGACGGCTTTATGTTGGGCATTTTTAATCATATTCAAGGCAAGGACAGAAGCATTTACAAAAAGATTATCGATTGTACAGCACTACAGATTTCTCGTGGAGATGGATTGCCCAACGTTATTTGCCATAGATGTTTATACAAGATTGAATTTTGTCTTGAATTTCGTCAACTATGTTTCATGTCGGATGCGACGCTTCGCCAGCTAGCAGGAGCATCTAAAGAAAATGGATCGGATAGCGGGAACCCTCAAATACCTCTTTATGATCAACTAGCCACCACAGGCAGTGATGAAAATGTAGTAATGGTGGTAGATCCGCATGCGTTTGATTACGAATCAGAGTATGAAACTGACAAAGAAGCGATAATCAGCGACATTGAAAATGGAGAATCCAACGACGTCGAGCCCGAACCTGAACAAGAACAAGAGGGTAGAGGGGTTACCATGTGTAAATATTGCGATCACGCGTTTACCGACAGCGCAGAGTGTTACAATCATGAAGTTAGCGCTCACAATAGCGAGACTCCTTACAATTGTGCTACTTGTTTTATGAGCTTCGCCGATAGGGTTTTGTATTCTGCCCATTTGAAGAGCGTACACAAGAACGATAAGCCATATAATTGCCCACAATGCAACAGAACATTTGCCAGacgATCTGACTTAAGGAAGCACACCATAGTCCATACTGGCGTGAAACCGTTCACCTGCTCCATCTGCTTCAAATCATTTTCAAGAAATACGAATCTATCGAAGCACATGCGCATCCATTCGAGCACGAAACCATTCGTTTGTCCCAAATGCCCTAAAACGTTTACATCGAAAGCGGAGTTGTCTCGTCACGCCATCATCCACAACGGACAGAAACCGTTTAGTTGCAATTATTGCAAATTGAGTTTTGGCAGACGGGACAAGTTGCAGAGGCACGAGCGACGGCATTTTCCGCAGGAAAACTCCGAGGACAAATCTCAGGAACTGCAATTGATGAGGGAAACTCTCTCGATTTTCACCAACGTCAAGAATGAAGTAAAACGCGAGGAATCTTCTGAAAATATGGTGATAACGTTGGATCCGTTCAACCACAACGATTACCATGCAGAATCGACGCCCCAGCGAGGAGACACCTCGGAAAACGAACCACAAAACGATTTCATTGCCGCAGAAAGAGTTGAGGAAGACATCAAAAACGAATCTATTTCCGAAGAAAAATATACATCGACGCTGGAATCCAGCAAGGACAAACCGTTCAGGTGTTCGCAGTGCACAAAACGATTCTCCAAAGCGGAAAATCTACTGTCACACCAGGCCATCCATTCTGGAAACAGACCGTTCAGTTGCTATGTTTGTAACAAATCTTTCATTAGAAAGAGGGAGTTGGACAGGCACATCGCTACCCATTCGGGCATGAAACCGTTCAAATGTCCAAGATGCAGCAAAAGTTTCGGACGCAAAGATAAGATGATGCGGCACATGCGCATTCACGACGGAAATAAAACTATCAGTTGCAAGATATGCGGAAGCACGTACAACAGAAGAGATAGTCTTCAGCAGCACATGAAGACTCATTCGACCAAAGAGAGTGTAGACACCGACAATGGACTAGATTAG
Protein Sequence
MESWRSYATICRLCLQKDGFMLGIFNHIQGKDRSIYKKIIDCTALQISRGDGLPNVICHRCLYKIEFCLEFRQLCFMSDATLRQLAGASKENGSDSGNPQIPLYDQLATTGSDENVVMVVDPHAFDYESEYETDKEAIISDIENGESNDVEPEPEQEQEGRGVTMCKYCDHAFTDSAECYNHEVSAHNSETPYNCATCFMSFADRVLYSAHLKSVHKNDKPYNCPQCNRTFARRSDLRKHTIVHTGVKPFTCSICFKSFSRNTNLSKHMRIHSSTKPFVCPKCPKTFTSKAELSRHAIIHNGQKPFSCNYCKLSFGRRDKLQRHERRHFPQENSEDKSQELQLMRETLSIFTNVKNEVKREESSENMVITLDPFNHNDYHAESTPQRGDTSENEPQNDFIAAERVEEDIKNESISEEKYTSTLESSKDKPFRCSQCTKRFSKAENLLSHQAIHSGNRPFSCYVCNKSFIRKRELDRHIATHSGMKPFKCPRCSKSFGRKDKMMRHMRIHDGNKTISCKICGSTYNRRDSLQQHMKTHSTKESVDTDNGLD

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

100% Identity
-
90% Identity
-
80% Identity
-