Basic Information

Gene Symbol
zfy1
Assembly
GCA_963576905.1
Location
OY756431.1:1745743-1754616[-]

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 8 2.4 2.4e+02 3.7 4.7 1 23 339 361 339 361 0.96
2 8 0.0009 0.091 14.5 0.6 1 23 367 390 367 390 0.94
3 8 0.029 3 9.7 1.8 1 23 418 441 418 441 0.95
4 8 9.1e-05 0.0092 17.6 4.7 2 23 452 473 452 473 0.98
5 8 0.00063 0.064 15.0 1.9 1 23 479 501 479 501 0.95
6 8 0.00014 0.014 17.0 4.0 1 23 507 529 507 529 0.97
7 8 3.8e-06 0.00038 22.0 2.9 1 23 535 557 535 557 0.97
8 8 0.0026 0.26 13.0 0.1 1 22 563 584 563 584 0.96

Sequence Information

Coding Sequence
ATGACGGAAACTTGTAGAATATGTTTGAGTCATAATCtcgttaataattttatattcgaCGAAGATAACAAGATTTATCTAAAAATACTTTCGTGTTTACCAATAAAAATCAACAAGGATGATGTACTTCCAAAGAAAATATGTGATGTATGCTCCTGTAAAGTTGATGATTTTTACAAGTTTTGCCACAAATCTATCGATTCAGAAAAtagGTTGTTATTCTCATCGTGTAACGAAGAAGCAGGAATCACAAATGTTGAACACGACAGTAAAATATATCAATTCTCCTCTAGTTTTttacaatttcataaaaatggctACGCAGTTGATAGCCTTGCGCCCTCCATAAGTCCAAAAAACTTGGTCTCGTCATGCACACAAACCGAAGACGAAACATTCTCAGTGACCATTAAACAGGAACCCCAAGGCAATAATGATAATTTCTTTGACAATTACGATGATGATAATTCTGATCGTGAGTTTGATAAACAAGAAGAGAATCAATTTGAAGAAATCAAAATAGAATTATCACCACAAGTGAAAAAAGTAGTAGATaaagataatgaaaaaataGCATCGAAAAGAAAATCGTCGAGGaaaaacaaaaaggaaaaaagacctataaaagttaaaataaaaaagactaaATCCAAATTCAGAGTCACACCGGAGTCGAAATCCGATTCTGACGAAGACGTCTCACttgttgatattattaaaaaagataaaaatctaaAGTTAAATGAGATAACGAGTATAAGCCACGGCACCATAGTTTTAGATGTGAAGGATATAAAAACCGAGCTCATGGATGTACTGAATGACGGAGAAAATAATGCAAACGTCAACCGTGAAGAATGGAATTGCTGCATTTGTTTCTTTAGGTGTTTTGAAAAGGAGGAAATGCTGGGGCACTATAGATCGCACTATTCAACTAAGGACATGCAAGAGTTTGAATCGGAGCAGATGACTTCTGAAACAGTACAGGATAAAAACGGCAAACCTGTTGCAATGTTTGTATGTTCACACTGTAACGCGAAAAGCGAAACGAAAGTCAAACATTTGCGGCATTTAAGAAGTCACGGATTAGATAAGCCTTATAAATGTTCCTTGTGCGAGAAAACTTTTAGGAGTACAGCAGAAATACTTAAACACGGTAAAAACGCTCACAAATATGATAATGATCTGCAAGAAGCAAAGTTAGAGGGAGAAGAGAGTGGGGGGGCGGGACCCATGCGTGCAATAAAGAGGTTCATGTGCGATCTCTGTGACGAGACCTTTGTATATATGAAATATGTTCAAATTCATAGAAACCTTTGTCATCCGGAAGCCAAAGAACGGCAGTTTGTCAATAGGTGTCTGCATTGTGGTCGGGAGTTTGCACATTTGAATAGCTTACGAAGGCACTTGAGGTCTCATAGTGGAGAGCGGAATTTCCTTTGTTATATTTGCGGCAAAAGTCTTTCTTCTAGGGAGCATCTTAAGTTTCACATACGAATACACACAGGCTTCAAACCTCACATTTGCAAGACTTGTGGCAAAGGGTTTGTGAAGAAATGCAATTTGACCTTGCACGAGAGAGTCCACAGTGGAGAAAAGCCGCACGTCTGCTCCCATTGTGGTAAAGCCTTCTCCCAGAGGAGCACCCTCGTCATACATGAGAGataccATTCTGGCGCCCGACCTTACGTGTGTAGTTTGTGCAATAAAGGTTTCGTAGCAAAGGGACTTCTTTCCATGCATCTTAAAACATCTTGTATCTAG
Protein Sequence
MTETCRICLSHNLVNNFIFDEDNKIYLKILSCLPIKINKDDVLPKKICDVCSCKVDDFYKFCHKSIDSENRLLFSSCNEEAGITNVEHDSKIYQFSSSFLQFHKNGYAVDSLAPSISPKNLVSSCTQTEDETFSVTIKQEPQGNNDNFFDNYDDDNSDREFDKQEENQFEEIKIELSPQVKKVVDKDNEKIASKRKSSRKNKKEKRPIKVKIKKTKSKFRVTPESKSDSDEDVSLVDIIKKDKNLKLNEITSISHGTIVLDVKDIKTELMDVLNDGENNANVNREEWNCCICFFRCFEKEEMLGHYRSHYSTKDMQEFESEQMTSETVQDKNGKPVAMFVCSHCNAKSETKVKHLRHLRSHGLDKPYKCSLCEKTFRSTAEILKHGKNAHKYDNDLQEAKLEGEESGGAGPMRAIKRFMCDLCDETFVYMKYVQIHRNLCHPEAKERQFVNRCLHCGREFAHLNSLRRHLRSHSGERNFLCYICGKSLSSREHLKFHIRIHTGFKPHICKTCGKGFVKKCNLTLHERVHSGEKPHVCSHCGKAFSQRSTLVIHERYHSGARPYVCSLCNKGFVAKGLLSMHLKTSCI

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

100% Identity
-
90% Identity
-
80% Identity
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