Basic Information

Gene Symbol
zfy1
Assembly
GCA_963971575.1
Location
OZ020625.1:26539084-26551964[+]

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 0.0012 0.29 13.5 0.8 1 22 224 245 224 248 0.92
2 10 2.6e-06 0.00063 21.9 1.0 1 23 283 306 283 306 0.95
3 10 5.1e-05 0.012 17.9 3.2 1 23 312 334 312 334 0.99
4 10 9.3e-08 2.2e-05 26.5 1.6 1 23 340 363 340 363 0.96
5 10 0.00023 0.056 15.8 2.9 1 23 373 395 373 395 0.98
6 10 0.00022 0.053 15.9 1.0 1 23 400 422 400 422 0.91
7 10 2.4e-06 0.00059 22.0 4.8 1 23 428 450 428 450 0.98
8 10 1.5e-06 0.00035 22.7 6.8 1 23 456 478 456 478 0.99
9 10 1.5e-07 3.6e-05 25.9 2.4 1 23 484 506 484 506 0.99
10 10 5.4e-06 0.0013 21.0 1.4 1 23 512 534 512 534 0.97

Sequence Information

Coding Sequence
ATGGATTTCGAGAAAATTTGTCGAACTTGTCTTTGCGAGGGTGAAATGTTGTCAATTTTCGGTAAAATAagcaaatttgaagaagaaacgATGGCTAATATGTTAATGtcttgtacaattttacaattatctAAAAACGATGGTCTTCCATCACAAATCTGTACAGAATGTATTACAGAACTTAAAAACGCGTATAAATTCGTTAAAAAATGCGAAAAATCCGATGAAAAATTacgaaaacaatttaaaaatgataaatgtaaaaaatcacGACCTGTACGTAAAAGTACTCGAGCGAGTAAAGCAAGAACAAAAAGGAAAGAAAATGATGATATTAGTGTTAAAGATGAAGATTCGGATGATGAACCACtttgtaaagaaaataaaaatcatgaaacgattgtaaataaaaatataacagatAACGTAAAGGACAGTAATTTAATAccgaaaaatgaaattaaagaaaatgatagtGATTACGATGATTTTGGTATGGATGATTATGATAGTGATGtggtaattaaagatgaaaaaaataatgaacttcAAGAAATTCCAGTAAATGTACAATTAAACGAAAATTCCGACAGCGATAGCTCGGAtgaaaaatcaaagaaaaaaacTAGATTTAAAAGATCggtggataaaataaaaaagggaCCACCGTACGAATGTAAAAAATGCCTTATGTCCTTTCCGACAACGAAAGAATTATTACAACACCGAAGAGAGgTTCAACATCCAAAAGGTGTATACGCAAAACGTCTATGTAAAATCTGTAATAAATTAATAGCATATCGTTCAATGAATAATCATCTCCGTACTCATACGAAAGAAAAGCCATTTGTTTGTGAACTCTGCGGTACAAGATTTAGTAAAAGTGGAAACTTAAAAAGACATACGTTAAATACTCATGCGACTGAAAAACCGTACAAATGTGACCAGTGCGATAAATCTTATACGACATTTGTATTCTTGAAAGATCATAAAAGAAGCCATAcgggagagaaaccattcatttGTAATTATTGCGGAAAGAGTTTTACGCAGAGCAGTAGTTTACGGACACATGTATTTACATTACACGCTAGTAAAGatAGTGAAAAACAAGAACATCGTTGTACGATATGCCAACGAACTTATACTACAGAAAGAATACTTAAAGCTCATATGCAAACTCATGgtacaaaaacgtttctttGTCAACATTGTGGCCGAGGTTTCTACAAGAAGGCGCAGCTACAAGCACATTCGGTAATACACACGGGTCTTAGGCCGCATGTATGTAAAATATGTGAGAAGACGTTCAAACATTATCCAAATTTAAAAAGCCACATGTTAACACACGCTGGAATTAAGCCGTACAAATGTAAACACTGCGATAAAGCATTCACACAATGGACGCATTTAagGTATCACGAAAAAACCCACACAGGTGAAAAACCATATAGATGTACATTCTGTGAAAAATGTTTTGCATCCAACGGAAACCTCACCGTCCACATGAGAATTCATACGGGTGAGACTCCATACATTtgtaatatatgtaataaaGGCTTCTACGATAGTAGTAGTATGAAAAAACATCGGAAAGGACATCCAGAAGCAATGTATGAATAG
Protein Sequence
MDFEKICRTCLCEGEMLSIFGKISKFEEETMANMLMSCTILQLSKNDGLPSQICTECITELKNAYKFVKKCEKSDEKLRKQFKNDKCKKSRPVRKSTRASKARTKRKENDDISVKDEDSDDEPLCKENKNHETIVNKNITDNVKDSNLIPKNEIKENDSDYDDFGMDDYDSDVVIKDEKNNELQEIPVNVQLNENSDSDSSDEKSKKKTRFKRSVDKIKKGPPYECKKCLMSFPTTKELLQHRREVQHPKGVYAKRLCKICNKLIAYRSMNNHLRTHTKEKPFVCELCGTRFSKSGNLKRHTLNTHATEKPYKCDQCDKSYTTFVFLKDHKRSHTGEKPFICNYCGKSFTQSSSLRTHVFTLHASKDSEKQEHRCTICQRTYTTERILKAHMQTHGTKTFLCQHCGRGFYKKAQLQAHSVIHTGLRPHVCKICEKTFKHYPNLKSHMLTHAGIKPYKCKHCDKAFTQWTHLRYHEKTHTGEKPYRCTFCEKCFASNGNLTVHMRIHTGETPYICNICNKGFYDSSSMKKHRKGHPEAMYE

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

100% Identity
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90% Identity
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80% Identity
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