Basic Information

Gene Symbol
zfy1
Assembly
GCA_013186455.1
Location
QDHC01002111.1:46007-56717[+]

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 12 9.6 7.6e+02 1.0 0.3 1 10 57 66 57 74 0.77
2 12 9.6 7.7e+02 1.0 4.1 1 23 187 210 187 210 0.89
3 12 0.043 3.4 8.4 1.0 3 23 219 239 217 239 0.96
4 12 3.4 2.7e+02 2.4 1.7 1 7 243 249 243 266 0.88
5 12 0.0073 0.58 10.8 1.4 1 23 273 295 273 295 0.98
6 12 0.0061 0.48 11.1 0.1 2 23 300 322 299 322 0.94
7 12 2.5e-05 0.002 18.6 0.3 2 23 329 350 328 350 0.96
8 12 0.025 2 9.1 2.6 3 23 361 381 360 381 0.97
9 12 0.0085 0.68 10.6 0.5 1 22 392 413 392 415 0.90
10 12 0.00018 0.014 15.9 3.6 1 23 421 444 421 444 0.96
11 12 9.8e-06 0.00078 19.9 0.3 3 23 455 475 454 475 0.98
12 12 0.0067 0.54 10.9 3.8 1 23 481 504 481 504 0.94

Sequence Information

Coding Sequence
atgaataaaaaatctataaaaatgaGTGATAACAAAAAGGATCCGCTCGATCGAAAGATTTGTGTGTGTTGTTTAAGTACAaaacgttatttaattaaactagaCAATTGTAAACATGGATCAATCTTCCCAAATATCTTCGAACATatggtgaattacaaagaaatgtatgtatgttcgTTTTGTCACCAATTTGTAATAAAGATAGAcagttttataagaaaagttgAAAAATCTGCTTACTTGATCAATAAtaagATTAAGATAACAAAAATCGAAccaaaagatataaatatagtatatATCGAAGAAAATTCTGATacgaataaaatcaaaaagaaaGACTCAAAAACATCAGTAAAACGTGATCATTGTTACGATGAAAAAccaacaaagaaaaaaaatataaaaaaatcaaaaacgcatacgatatcaaaaatactCCTTGATAacgaaattaaactaaatgataaaataaaaataataacattaacacAAGATGAAATTATAGGAGAAAGGAATTGGGCAGCGTTGCacgaaaattatataaaaaaacaattcaaatgTGAAGACTGTATTATAGGGTTTACGCATAAACATATATATGAGTTacataagaaacaaaaacatgaagctaaAATAGGGTCCATAATATGCGAGATTTGTAAATGCTATTTGAACAATGATAAAGCATTGGAGAATCATATGAAGCAACATGTTATACGATATCAATGCAAAGAATGTGGTGTACGTAAATGCGAGAGATATCCAGCTATATTTCATTATCAAACACATCATGaagatatacaaattatatttacatgtgAACAATGCGGTAACACTTCTGATTCATACAAGCAGTACCGTGCGCACAGCAATACCCACAGGGAGCGAGTTCCCTGTCAGATATGTGGAGGTACATTTGCCAGTCAAAATATACTCACCAAACATATATTTAAAATACACGGTCCACCGAACCCAGTACCATGTCCTACATGCGACAAAAAGTTCCAAACGGACATACAATTAAAACGTCATATGTATATACACGAGACACCGGAACCTACAGATGACAAATTCTGTGGGacatgtaaaatatactttcgGTCGCGGACTTTCTTGAAGCTGCATCTCAAGAATCATTCTAATCATATCAAGGATGCTGATAAGAGGTTTAAATGTTACGAATGTGGTGTAAAATACGTTGAAAAGTCCCGTTTGAAGGACCACTTCGATTGGGCGCATCTCAAATTGAGGAACTACGTCTGCACATTATGTTCAAAGgaatTTGAAACGAAACGTTGTCTGACTCGACATACTATGTACGTACATGATAAGATACAGCGGCcgaagaataaaatatgtgaCCTTTGcggcaaaggatttactAGTTTACGCGTACTGCAGTCTCATATCCGGACGCACACAGGCGAGCGTCCGTACAAATGTGAACTTTGCCACAAAACATTCGGCTTCCACGGCGCTCTTTACACACACAATAAACTTATACACGAAAAGATTAAAAGGAAAAcatatacaaagaaaaaagatttaataacaattcCCACTTAG
Protein Sequence
MNKKSIKMSDNKKDPLDRKICVCCLSTKRYLIKLDNCKHGSIFPNIFEHMVNYKEMYVCSFCHQFVIKIDSFIRKVEKSAYLINNKIKITKIEPKDINIVYIEENSDTNKIKKKDSKTSVKRDHCYDEKPTKKKNIKKSKTHTISKILLDNEIKLNDKIKIITLTQDEIIGERNWAALHENYIKKQFKCEDCIIGFTHKHIYELHKKQKHEAKIGSIICEICKCYLNNDKALENHMKQHVIRYQCKECGVRKCERYPAIFHYQTHHEDIQIIFTCEQCGNTSDSYKQYRAHSNTHRERVPCQICGGTFASQNILTKHIFKIHGPPNPVPCPTCDKKFQTDIQLKRHMYIHETPEPTDDKFCGTCKIYFRSRTFLKLHLKNHSNHIKDADKRFKCYECGVKYVEKSRLKDHFDWAHLKLRNYVCTLCSKEFETKRCLTRHTMYVHDKIQRPKNKICDLCGKGFTSLRVLQSHIRTHTGERPYKCELCHKTFGFHGALYTHNKLIHEKIKRKTYTKKKDLITIPT

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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