Basic Information

Gene Symbol
-
Assembly
GCA_000956255.1
Location
JXXA01009602.1:136-2059[-]

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 0.0015 0.12 12.6 0.1 1 23 196 219 196 219 0.96
2 10 0.00086 0.071 13.3 1.6 2 23 226 248 225 248 0.96
3 10 0.00093 0.076 13.2 5.3 1 23 253 276 253 276 0.98
4 10 3.7 3e+02 1.9 0.1 6 23 295 312 293 312 0.65
5 10 0.0033 0.28 11.5 0.1 1 23 318 341 318 341 0.96
6 10 1.1e-06 9.5e-05 22.4 1.5 2 23 348 370 347 370 0.97
7 10 0.0025 0.2 11.9 2.3 1 23 376 399 376 399 0.96
8 10 2.4e-05 0.002 18.3 1.1 1 23 405 427 405 427 0.98
9 10 0.00027 0.022 14.9 3.7 1 23 433 455 433 455 0.97
10 10 2.5e-06 0.0002 21.3 1.2 1 23 460 483 460 483 0.96

Sequence Information

Coding Sequence
ATGGCCAGCAGCAATTTGAGGGAAATTAACAGTATTTGTCGACTCTGTTTGTGCGAAGATGACGAACTACTATTTCCCGCCACGAGGATCATTGACCATTCGTTAACACATGAGGATGTCGGACGGTTTACGGGTATTCAGCTTTTCGACGAGAAAAACGTATCGTATGCAATCTGTGTCGATTGTGGCAACAAACTGAAAAAGTGCGCTCTTTTTCGCACCAACTGTTTGAGCAATGATGTTCTCTTCAGGCAGCTGTATGCGGTACTCATAGAAAGTTCAAACATTGCTGAGACCGATGGAACAAATGATGGCACGACAAAAGAAGATGAAACGTGCGtagaagaaagagagacagtAGAAGAAATTGTAATTGTCGAATTGCCGCTCGACAAGGGAAACATTGTTTCCGCTGATCAGACTTCATATAGGAGTGACGATGAGACGGACGGTGAGGATGAAATCAACCAATACGAGGTGGATCATCTATCACTGGATGATGCGGAAACGGTCGAACACAAGGAACACAATCAAAGCCGGAGTAAAAAATCTCGATCGAAAGGAACAAATGCCCTGGAAAAGAAGTTTGAATGCCCGATCTGTCACGTGCAGATGGCTATGAAATCTAACCTAAATATCCATATAAAAGCGGTGCATTTGAAGCAGGTATCGAAAACGTGTGAATTGTGCGGGCAAGATTTCGTCAATTACAATTCCTACAAACATCATTTGGCCACTCAGCACGGTTCTGGCCAATACAGCTGCGAAACGTGTTCGAAAAAGTTTACGCACGAACGCACCTACAACATGCACGTCCGCCGCTACCACAGCGCCGCCTCCGAGCAGAAGAAAGCGGAAGGCaggcagaagaaaaagcaactGTGCGGTATCTGTGGCGCGATGGTAACACAAATGTCGAGCCATATGCTAACCCACACGCAGGAGCGACGTTACGCGTGTCCCCACTGCCCGCTGAAGATGGTGGAACGAGCGAATCTGATGCGTCACGTGCAATCGGTCCACCTGAAAAGTGAGGTAAAAACGTGTGAGAAATGCGGCAAAGGCTTCAAATACAACAGCTCCTATCGATCGCACATGCTCACCGAGCACGGTATCGGCAACACGTACGACTGTACCATGTGTGCTAAAAAGTTCAACCACGGGCACGGTTTGAAGTCTCACATAGCCCGGGTACATAGCAGTGACACGAAGTTCGAGTGTACGTCGTGCAACATGCGGTTCAAAGTGAAATCCGCCCTGTCGAAGCACCAGTTGGTACACTCGCAGGAACAACCGTTCGCGTGCAATCAATGCCCGAAGCGGTTTAAAAGCAGGCACGGTCGAAACTCCCATCAGCTGACCCATAGTGGGGTGGTGTTTGCCTGCCCGCACTGTGACAAATCGTATCGGTACAAGGACGTGCTTAATGTGCACATCCGGCAGAGCCATGGATGTGCGATAGGAGACACCTATAGGAAGGAGTCTGATTCCGGGAACCAATCTAACGAATTGAACGTGGAAGGCGAGTACAGTACAGACGCGACTGATATTGAACAGCAACAGAACGATGAACACAAGTCACAAGTGAACAATGAGAATGAAGATGAACAGGAGATGTACAATACTATCGCCACACGAAGACGGTAG
Protein Sequence
MASSNLREINSICRLCLCEDDELLFPATRIIDHSLTHEDVGRFTGIQLFDEKNVSYAICVDCGNKLKKCALFRTNCLSNDVLFRQLYAVLIESSNIAETDGTNDGTTKEDETCVEERETVEEIVIVELPLDKGNIVSADQTSYRSDDETDGEDEINQYEVDHLSLDDAETVEHKEHNQSRSKKSRSKGTNALEKKFECPICHVQMAMKSNLNIHIKAVHLKQVSKTCELCGQDFVNYNSYKHHLATQHGSGQYSCETCSKKFTHERTYNMHVRRYHSAASEQKKAEGRQKKKQLCGICGAMVTQMSSHMLTHTQERRYACPHCPLKMVERANLMRHVQSVHLKSEVKTCEKCGKGFKYNSSYRSHMLTEHGIGNTYDCTMCAKKFNHGHGLKSHIARVHSSDTKFECTSCNMRFKVKSALSKHQLVHSQEQPFACNQCPKRFKSRHGRNSHQLTHSGVVFACPHCDKSYRYKDVLNVHIRQSHGCAIGDTYRKESDSGNQSNELNVEGEYSTDATDIEQQQNDEHKSQVNNENEDEQEMYNTIATRRR

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

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