Basic Information

Gene Symbol
-
Assembly
GCA_905475405.1
Location
FR997833.1:15439515-15456281[+]

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 0.0089 1.1 11.1 2.8 1 23 105 128 105 128 0.94
2 12 5e-05 0.0062 18.2 1.9 1 23 134 156 134 156 0.94
3 12 3.6e-05 0.0045 18.6 4.7 2 23 163 184 162 184 0.97
4 12 5.1e-07 6.3e-05 24.5 1.3 1 23 190 212 190 212 0.98
5 12 1.4e-05 0.0017 19.9 0.1 1 23 221 243 221 243 0.97
6 12 0.0051 0.63 11.9 0.1 6 23 253 270 253 270 0.99
7 12 0.00028 0.035 15.9 6.8 1 23 276 298 276 298 0.98
8 12 3.1e-08 3.8e-06 28.3 0.6 1 23 304 326 304 326 0.98
9 12 3.2e-05 0.004 18.8 1.8 1 23 332 354 332 354 0.98
10 12 3.8e-05 0.0047 18.6 2.0 1 23 360 381 360 381 0.98
11 12 0.005 0.62 11.9 1.3 1 23 387 409 387 409 0.95
12 12 9.2e-05 0.011 17.4 1.0 1 23 415 437 415 437 0.98

Sequence Information

Coding Sequence
ATGTTTACCACTCTTACTGATATTCAATTGACACCTGAGGATGGTTTACCTTGTTATGTATGTGAACCCTGCCAAACAACATTACTACAATGTTATGAATTTAGAATAAAATGTGAAAAGTCAGACTCTACACTCAAATCTATTTTAAAAGGAGAAATAATTATCAAAGATGAAGAAACAGCTTTTAAtacatttaaTTCAGTAAATGATGAAATACAGTTTGACAAAACAGATGATGTTAAAGAAGACCTTGATGATGTTGAAGATCCAGACCAAAATGTAAATAGCtttatgaaaaagaaatcaTCAACATACCTTTGTGTACATTGTCCCAagGAGTTCCACAAAGCAAGGGCACTTCAGTTACACATTACAAAGAAGCATAGCAAGAAGCAAGATTATAAATGTAATCAATGCAAGAAGACATTTGCTTCTGAACATGATCTGACTGTGCATTCTGCTTTACATGTCAAAGGCGATACGTGGAAGTGCAATCAATGTCACAAAGAATTTTATACAAAAGTATCATTCCGCCGCCACATCCAGCGTCACATGGAGAACAAGCGATATTCGTGCGAGACGTGCTCTAAGACATTCACAGAACTGTACGCGCTTAGGAGACATATGCGTGTACATACAGGGGAGGGGGTCGAGAAGAAATATGCTTGCAATATCTGTGATAAGAGGTACAGTGAAAGCGGCCTGCTAGCGGTCCACATGGCCCGGCACAACGGGTCGCGACCCTGCATATGTCCGTGCGGTAAGAGCTTCCCCTCCGCCCGCCTGCTCGCCTCACATTCTCGAGTACACACAGACGACAAGAGATATGCGTGTAGTTACTGCGATAGGAGTTTTCGTCACGAATCTACAAGGAACACACATCACCGAACGCACACCGGTGAGAAGCCTTACATCTGTTCTGCCTGCGGTAAAACCTTTATACAGAATTCTAACCTCACTCTTCATATGCGGACACATACtgGCGAACGTCCATATTCGTGCAAGATGTGCGAACGTAAGTTCAAGTCAGGCTCATCGCTCAAGAGTCACGAACGTATACACACGGGCGAGCGACCATACAGCTGTCATATTTGTGGTAAAAGGTTCGCCCGTATGAACTTAAGCGCACACATGCGACAACACACAGGCGAGAAACCATTCGCGTGCTCCGCGTGTCCCAAGAAGTTTGTCAACGCGTCCAGGTTACGTGACCACTGTCGAGTACATACAGGTGAAAAACCGTATGCATGTGCATATTGCACATTGATGGTCGCAACAAAATCTCATCTCGTCAAACATTTAAAAACGCATGAGAAATCAAATAAGAAAATTAGCAAAAATAAGCGGCAGGAATCATCAAACCAAGTTCTAATATCCGACATAATTGTTGATAAAGTAGTTGAAATTACTAATGAAATTGAAAATGATGATGGTAGAATAACTATAGAAGTACCATTAGCGGTAAATGGTGAACTTATATTACAAGATGAAGGGCATATGAATGCTGGTCTTCTGATAATAGAGAATAATCAAAACAGTCCTGCTATAGAGGAAGGAGTATAA
Protein Sequence
MFTTLTDIQLTPEDGLPCYVCEPCQTTLLQCYEFRIKCEKSDSTLKSILKGEIIIKDEETAFNTFNSVNDEIQFDKTDDVKEDLDDVEDPDQNVNSFMKKKSSTYLCVHCPKEFHKARALQLHITKKHSKKQDYKCNQCKKTFASEHDLTVHSALHVKGDTWKCNQCHKEFYTKVSFRRHIQRHMENKRYSCETCSKTFTELYALRRHMRVHTGEGVEKKYACNICDKRYSESGLLAVHMARHNGSRPCICPCGKSFPSARLLASHSRVHTDDKRYACSYCDRSFRHESTRNTHHRTHTGEKPYICSACGKTFIQNSNLTLHMRTHTGERPYSCKMCERKFKSGSSLKSHERIHTGERPYSCHICGKRFARMNLSAHMRQHTGEKPFACSACPKKFVNASRLRDHCRVHTGEKPYACAYCTLMVATKSHLVKHLKTHEKSNKKISKNKRQESSNQVLISDIIVDKVVEITNEIENDDGRITIEVPLAVNGELILQDEGHMNAGLLIIENNQNSPAIEEGV*

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

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