Basic Information

Gene Symbol
-
Assembly
GCA_000836235.1
Location
NW:1431623-1436454[-]

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 0.0013 0.071 13.3 1.8 1 23 231 253 231 253 0.94
2 10 0.12 6.6 7.1 0.6 3 23 276 297 274 298 0.93
3 10 3.5e-05 0.002 18.2 1.1 2 23 320 341 319 341 0.95
4 10 0.004 0.23 11.7 2.1 2 23 346 367 345 367 0.96
5 10 0.00034 0.019 15.1 2.6 1 23 374 397 374 397 0.96
6 10 0.082 4.7 7.6 0.4 1 23 403 426 403 426 0.93
7 10 0.00011 0.0062 16.6 2.2 1 23 432 455 432 455 0.97
8 10 8.9e-05 0.0051 16.9 1.2 1 23 461 483 461 483 0.97
9 10 3e-07 1.7e-05 24.7 0.7 1 23 489 511 489 511 0.98
10 10 1.6e-06 9.1e-05 22.4 1.6 1 23 517 540 517 540 0.98

Sequence Information

Coding Sequence
ATGAGCACAATTAACCGGAAAGGGCCGATAATAGACCCAGGTGTGTGTCGATGTTGTGGTTGTTTAAAGAAATGtcgaataattaatattgaatatgaGTGGCAGGggcaaaaagaaatatattcagATATGTTTATGGACTGTTTCGGACTTCTAttaTCACATTTAGAAGGAGGTCCTGAAGAACGTTTGATATGTGCAACATGTGTGAGCCGATTAAGAGAAGCCTGTGCATTTCGGAAGCAAGTACTGCGCTGTGAGGAGCTTCTGCTCAGTGctaaaatacatttagatAATGATGttgaaGAGAGTAAAGAAGGAATTAAAgcagatattaaaatagagaGTATTGTTGAAAATGAAGTTGTCGAGGAAGATCACAACAATGAGGCTGTACTCAttccAGACTCAAATAACGAACCAGATGTGAACTCGAAGAAAAAGAGTTCGGTGAAAAAGGACAAAGTTTTGAAACGTAAACGGAAAACTAAAGTCACTGTTAATAAAGAGAAACACGAACTGGTGACGCGAATGCAAAAAGTCAAGAAGTTAAAAGATGCAGATGTCCCAGAACAAAAAGGGAATGCAAAGACTAAAAATACCAACGACAATGAAATGATGGCTCGACATAATACTATATGTATTGTAGAGAATTCGTATGTTTGTCCATTTGATACTTCTTTTAGCGATTATTTCTGCATTTACTGTAGGAAACAATTCACAGATCCGAATAAACTTAGGGAACACACTATGACACACGATCCACAAATATACAAAGATCTCCCACAGAAAAAAACACTTCAAATCGATATTCTAAGAATCGATTGTAGACTTTGCACACAAAGAATCGATAATATAGACGATTTGAAACGTCACATCACTAGTATACACCATAAAGTTCTTTATCCAAACATAGATaatgaatttttgaaattccgTCTCACGCCTGTCAGATTAATTTGCACAGAGTGTGATgaatcttttacattttttcacgctttaaaaaaacatatggcTGAACACTTCGGTACTTGCATTTGTGATATATGCGGTGCACATTATTTCCAAGAGAGAATGCTTATACTCCATCAAAAAACACATCAGAAAACAGACGAAAATTATCCTTGCAAAGAATGCGGAAAGTTGTTTAAATCGAAACATAACAGATATTTACATATAGCTAGAACACATAAAAAAGAGCCAGCATATCCTTGCACCAAATGCGATGAGGTTTTATTCTCGTATACTTTAAGATATCGTCACATGATTGAAGTTCATGGTATTGAGAGGTTATTTGAATGCGAACAATGCGATAGAACTTATGATAGTAGGAAATCTTTAAGAGAACATAATAGGaggtttcatttaaaaatatttaaacatcaaTGTGATTTATGTGATAAAAGGTTTTATCTGCCTTCAAGgttaaaagaacatatagcGTCGCATAGTGGCGAAAGAAATTTTCGTTGTGAATATTGTGGCAAAAGTTATCCAAGGTTACGTGGACTTAAAGTTCATATGCAATCTCATAgcactgaaaaaaaatataaatgtactttATGCAGTGCATCTTTTACAcagaatgttaatttaaaaaatcatattaaaagaCAACATCAAACCATGGAAGAGTATCATGAATAA
Protein Sequence
MSTINRKGPIIDPGVCRCCGCLKKCRIINIEYEWQGQKEIYSDMFMDCFGLLLSHLEGGPEERLICATCVSRLREACAFRKQVLRCEELLLSAKIHLDNDVEESKEGIKADIKIESIVENEVVEEDHNNEAVLIPDSNNEPDVNSKKKSSVKKDKVLKRKRKTKVTVNKEKHELVTRMQKVKKLKDADVPEQKGNAKTKNTNDNEMMARHNTICIVENSYVCPFDTSFSDYFCIYCRKQFTDPNKLREHTMTHDPQIYKDLPQKKTLQIDILRIDCRLCTQRIDNIDDLKRHITSIHHKVLYPNIDNEFLKFRLTPVRLICTECDESFTFFHALKKHMAEHFGTCICDICGAHYFQERMLILHQKTHQKTDENYPCKECGKLFKSKHNRYLHIARTHKKEPAYPCTKCDEVLFSYTLRYRHMIEVHGIERLFECEQCDRTYDSRKSLREHNRRFHLKIFKHQCDLCDKRFYLPSRLKEHIASHSGERNFRCEYCGKSYPRLRGLKVHMQSHSTEKKYKCTLCSASFTQNVNLKNHIKRQHQTMEEYHE

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

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