Basic Information

Gene Symbol
Zfx
Assembly
GCA_032191425.1
Location
CM063443.1:6667103-6681666[-]

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 11 0.083 9.9 8.2 1.5 1 23 211 234 211 234 0.90
2 11 0.0047 0.56 12.1 0.1 1 23 241 263 241 263 0.98
3 11 0.0059 0.71 11.8 1.1 1 23 267 289 267 289 0.98
4 11 1.5 1.8e+02 4.2 0.8 2 23 293 315 292 315 0.92
5 11 8.2e-06 0.00098 20.8 5.2 1 23 318 341 318 341 0.97
6 11 0.00065 0.077 14.8 1.5 1 21 345 365 345 368 0.88
7 11 0.24 29 6.7 0.2 3 20 378 395 377 397 0.91
8 11 0.001 0.12 14.2 1.9 2 23 413 435 412 435 0.95
9 11 0.96 1.1e+02 4.9 6.3 1 23 441 464 441 464 0.96
10 11 0.00038 0.046 15.6 0.2 3 23 475 495 474 495 0.99
11 11 0.0015 0.18 13.7 2.5 1 23 501 524 501 524 0.96

Sequence Information

Coding Sequence
ATGTGTGATCAATTAAAACACATCGATAATACTAGTGATATATTTTCATGCTTCGCATGTTTGAGTTCTGATcggaatattattaaaattaataactcgATGGAATATCatgatattttaaaaagaatatgCGATCACCCAGTTACGATGACGCAAATGTATATATGTTGGGAGTGTGAAGCTGTGCTCAAgaagataaaactatttatatccAGAATAGAAGATGCACAAAGGATAATGAAGtatcatattttaaatacaaaaAAAACTTTTCTTGTTAGTCTATCAAGATTATCTTTAACAAACACTGATAATGTAATATGTATTAcacatgatgataataaaaatgatgaaccAGCCATAAGTACCGTGAAAGAAGAAACAACACAATGTGATGACGATATTGATTTTAATCAGGAAGATTATTCAAGTTACCATTGTCAAGAAATTAAAAAGGAAACAACTCCTAAATTAAAaagaactaaaaaaaataaatcctaTTGTAGAATTATCTATGggcgaaatatttttaaaaagagtTTGTTGAGAAAGAAGTTTGCAATAAAACCAGACTCTGTCCCTGAGTGGTTACAAATAGAGAGAGATTCTAAATATTTTTCGTCATTTAAATTTCAATGTGACATGTGTATTCGTGGATTTCATTCTGCagacaaattaaaaaaacataatttggaGAGTCATGATAAGTCGTTAGGCGAGTATGTTTGTATGTGGTGCAAATTACGCTTTGCCGTACAGGCAGATTTGGATGCACACAAGCTGACGCACGAATTCGCATACGAGTGCACACAATGCGGTTACCGTAGCTACTCCGTGCGGCGACTTAATGCACACACACAAACGCACAGGTCGATTCAGTGCCTCATATGTGATCTATGTTTACCtaaCACTCGTAAATTCGATATTCACTATAAAGCAATGCACAGCGTGTTTACTTGCGATCATTGCGGCAAGCGATGTACAACTAAATATATGTTAGAGAAACACATCAGCCGGGGCCATGTGACGTCACACGCGTGTTCGCTATGCCCGCGCAAATACAAGTCACGTTCAGCGCTGAACAAACATCGTGGAGCTAAGCACAGCACCAGCGCACCCGAACTCGCCTACTGCGTACGCTGTGACAAGCAGTTCGATAGCGAGCTACTGTACCGGCGCCATGTCCTCAATACAACAGCGCACGCACACGAAACACAAATTTGTAAGAAGAGAGTGCCTTGCCCGGACTGTGGGAATACATATTCGCGTCATACTTATATGATGAATCATTATCGACACGTGCACAAGAATCAATCTAAGCACTACTGCTCACAATGTGATAGGCACTTTCTGAATCGAACTCGATTTGTGGAACACATGCGGTATAACCACGAGGGAGCTAAAAGAGAAAAGAACAAATTGTGCAATGTTTGCGGTAGAGGATTCGCTACTAATCGTATCCTAGTGAATCATATACGGACTCATTCAGGCGAACGACCATTTGAATGTGAATATTGTTCAGCGAGATTCACACAGAAACACTCGATGCTGTCTCACGTTAAATACATACATCTCAAGAGCAAGCGACGTACTGCTTGGCATCACTAA
Protein Sequence
MCDQLKHIDNTSDIFSCFACLSSDRNIIKINNSMEYHDILKRICDHPVTMTQMYICWECEAVLKKIKLFISRIEDAQRIMKYHILNTKKTFLVSLSRLSLTNTDNVICITHDDNKNDEPAISTVKEETTQCDDDIDFNQEDYSSYHCQEIKKETTPKLKRTKKNKSYCRIIYGRNIFKKSLLRKKFAIKPDSVPEWLQIERDSKYFSSFKFQCDMCIRGFHSADKLKKHNLESHDKSLGEYVCMWCKLRFAVQADLDAHKLTHEFAYECTQCGYRSYSVRRLNAHTQTHRSIQCLICDLCLPNTRKFDIHYKAMHSVFTCDHCGKRCTTKYMLEKHISRGHVTSHACSLCPRKYKSRSALNKHRGAKHSTSAPELAYCVRCDKQFDSELLYRRHVLNTTAHAHETQICKKRVPCPDCGNTYSRHTYMMNHYRHVHKNQSKHYCSQCDRHFLNRTRFVEHMRYNHEGAKREKNKLCNVCGRGFATNRILVNHIRTHSGERPFECEYCSARFTQKHSMLSHVKYIHLKSKRRTAWHH

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

100% Identity
-
90% Identity
-
80% Identity
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