Basic Information

Gene Symbol
Zfy1
Assembly
GCA_034638295.1
Location
CM067852.1:3273770-3275962[+]

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 3.7e-05 0.0034 18.1 0.4 1 23 103 125 103 125 0.96
2 11 7.5e-07 7e-05 23.4 1.1 1 23 131 154 131 154 0.97
3 11 1.5e-05 0.0014 19.3 0.5 1 23 160 182 160 182 0.97
4 11 7.5e-05 0.007 17.1 0.6 1 23 188 210 188 211 0.94
5 11 1.1e-06 0.0001 22.9 0.8 1 23 218 240 218 240 0.98
6 11 2.9 2.7e+02 2.7 0.6 1 23 246 269 246 270 0.90
7 11 0.025 2.3 9.2 0.8 1 23 275 296 275 296 0.96
8 11 3.3e-05 0.0031 18.2 2.6 1 23 302 324 302 324 0.97
9 11 3.1e-05 0.0029 18.3 2.9 1 23 330 352 330 352 0.99
10 11 0.0039 0.37 11.7 1.2 1 23 358 383 358 383 0.94
11 11 0.0011 0.099 13.5 0.2 1 21 389 409 389 410 0.93

Sequence Information

Coding Sequence
ATGGTACGCAGTCGTCGTTCCATATCCAAGGAGGATGTTGCCTCGCTGCTCACAGACAGCGGCATTTCATTATCCTCGCCGCCGGCGGTGAATCAAGAAGCGGATAATGATAacgatgacaatgacaacgatGAACAGAAGCCTGGCCTTGCTGCGCGCTATAAGAATGATGATGATAGTGATtcgaatgatgatgatgacggggAATtggatgatgatgttgaataTAAATTGCCGGCCGCAAAAAAATTGCGTGTCGTTAAAACagttaaaattgaatttagtAAAACGCGACGCAAAGCAACGCATATTTGTGCCATTTGTGAGAAGGAATTTGGTGGTAAAACCGATCTGAAGCGACATATGCTCATACATTCGGATGAACGGCCGCACAAATGTGCACAGTGTGGCAAAAGTTATCGGCAGGCGGTCAATCTCAAGAATCATATAACGACGGCGCATGAGAGACGTAAAGAGTATGCGTGCACTCAATGTCCCAAATCGTTTGCATTGAAGGAACGATTGCGATTGCATATGCGTTTGCATTCAGGTGAAAAACCCTATGCATGTTCCCTGTGCGATAAACGTTTTGCGCGCGGCggtcaactacaacaacatgtTGTCTCCCACCACAAGACAAGTATTCAGCAATATAATTGCACTAAATGCTCGGCCAGTTTCTCGACAAATGCCAATCTGCGCGTGCACATGGAACGTCATGATCAGGGGCCGGATCATCGTTGCACGCTCTGTGAGGCACAAATGCCAAATGATATTGCGCTGCGCGCTCATATCAATCAAATGCATCATAAGCTAAAGCAATTCGATTGTGAGATTTGTCATAAAACAATCGAGGACGATGACTTGGCAACGCACATGAAGAAACATGCCACCGTTAAAATGCATATTTGTGAAGTTTGTAATTCATATTTCACACAGAAATCACAATACAATGTGCACATGCGCATGCACACGGGCGAGCGGCCTTATCAATGTCGTaTTTGTTATCAAACATTTGCGCATTCGAGCGTCTTGAAGTTACACATACGCAAGCACACGGGCGAGAAACCCTTCAAGTGTCTGCTGTGTCAGGATGATGTCGCTTTCTCACAATTGGCACACCTCAAAACGCACATGaagaaaatacacaaacaacacaaTCCCTATATGTGTGTCGATTGTCATGAATTCTTCAAGGTCAAAGTCGAACTGCAGGCACATGGCAAAGTGTGCCCGAAACGTGGCAATAACTTTGATGATGCATCGACGACAACAAATGACGATGACACAACTGTGCAAGCATTATCGAATATACGTTTTCACATGGCTGTCGTGCTCAAGAAAATCTCATCGGAACAGAAATTAAAGCAACTCGGCTATGAGAAACGACTCATAGATAATGTTATTATTGCCTCGCTGAAATTAGCAAATCGTACAGCGCATGATGATCCCAAATTGGCAGCGATCGATCGTTTGCGTTTGAATGTACAAGAGTTTCTCAATTGGATTGTGCCCGCCAAAGCAATGGAGAAATTTCGTGAAGAGTTGCTGTCAGTGGACACAATATTGGATAAGATTGCTAGCATGTATATGAAGCAAAAGTAA
Protein Sequence
MVRSRRSISKEDVASLLTDSGISLSSPPAVNQEADNDNDDNDNDEQKPGLAARYKNDDDSDSNDDDDGELDDDVEYKLPAAKKLRVVKTVKIEFSKTRRKATHICAICEKEFGGKTDLKRHMLIHSDERPHKCAQCGKSYRQAVNLKNHITTAHERRKEYACTQCPKSFALKERLRLHMRLHSGEKPYACSLCDKRFARGGQLQQHVVSHHKTSIQQYNCTKCSASFSTNANLRVHMERHDQGPDHRCTLCEAQMPNDIALRAHINQMHHKLKQFDCEICHKTIEDDDLATHMKKHATVKMHICEVCNSYFTQKSQYNVHMRMHTGERPYQCRICYQTFAHSSVLKLHIRKHTGEKPFKCLLCQDDVAFSQLAHLKTHMKKIHKQHNPYMCVDCHEFFKVKVELQAHGKVCPKRGNNFDDASTTTNDDDTTVQALSNIRFHMAVVLKKISSEQKLKQLGYEKRLIDNVIIASLKLANRTAHDDPKLAAIDRLRLNVQEFLNWIVPAKAMEKFREELLSVDTILDKIASMYMKQK

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

100% Identity
-
90% Identity
-
80% Identity
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