Basic Information

Gene Symbol
zfy1
Assembly
GCA_963555595.1
Location
OY741986.1:2500515-2509489[+]

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 0.01 0.68 11.0 1.4 1 20 234 253 234 254 0.96
2 10 0.031 2 9.5 0.8 1 23 263 285 263 285 0.98
3 10 0.0013 0.086 13.8 2.4 2 23 290 312 289 312 0.96
4 10 1.8e-05 0.0012 19.7 3.1 3 23 344 364 343 365 0.95
5 10 0.0009 0.058 14.3 1.3 2 23 369 391 369 391 0.97
6 10 0.027 1.7 9.7 0.1 3 20 409 426 408 428 0.93
7 10 1.3e-05 0.00081 20.2 0.3 2 23 441 463 440 463 0.95
8 10 0.00042 0.027 15.4 0.3 2 23 470 492 470 492 0.95
9 10 0.0038 0.24 12.4 0.5 2 23 502 523 501 523 0.97
10 10 7e-06 0.00045 21.0 1.3 1 23 529 552 529 552 0.97

Sequence Information

Coding Sequence
ATGAATATACTAAAATTAGAAATTGAAAAGAAGCCAACACTTTGCCATGGATGTCTGAGCTCTGATAGACGACTTTCGTTGATACGAGACGattctacattattttttagtttactaGGAGACCAGCATCAACTTACATACAATGACTCAAATGACTTGACACTCTGCTGGGAGTGCATAGCGATTATGAAGAAAATACAAACATTCCAAAATCGTATACAAAATGCTCAATTTATTTTACTCCAATCACTATGTCATATGGATCGACCATCCACACTATCAACTCTTTCGCTCACATACAAATGTAATTATGATGTTACAGTAGATGAAGATGGCAACACTGACACTGACAATAAAATTGAACTGAACAATTTAACTGATGAAATTAAACAAGAAAACAGTGATGAAGACAATGAGgtatttgacataataacaaaagaagaaAACGACTGCAGCGATACGGAATATATAGCAGAGATAACTATAGAAGAAGAGcctaaaaaaaacagtaacaaaTGCAAAAATAGTGAACAAACATATTCTATTAAGAGATATCTGAAATATGCAACAGTATCTGATGGAGAGAAAATCGattatagtaattttaataagtattatacTAAAGTGTTTGCAAGCCACACCGAGATGGAGGCGTTGACAATGAGGGATAGAAAACACATGTCATATGATAAATTGCCGTTTAAGTGTCATACATGTAAACTGGGATACATAAGGCGTGTGGATTTCAATAGGCATAAAGCTTGCAATCATGATGAGGCACCACCGTACCGTTGCACGCAATGTAAATCGACGAGGGAGTCGTTCAGCGACCTTGTAGAACACTGGAGGGTTCACACTCCCATGCTCAAGTGCAACAAATGCGGACATCTGGCGCGATCTCGCGGCGAGTTGAGGAAACACATGAATAGAACTCATTGTACTATATACACTTGTCATTCCTGCTGCGAGGAGTTTGGGAATTTACGTGAATTTAGTAATCATTACAAGAAACAACACGAGCGTGCGATATGTGATTACTGCAATAAAACATTTGTTAAGAAGAGGTCATTAGAAATGCATATAAAACGTCACCACCTCCCCGCAGTTTGTCCGATATGCCATCAAAAGTACGGTCAGTACCGCACTCTAGTGAAACATTACCGCATGTACCACACGGAGACGCGTGCGGGGGAGGGCGGGGCCGCGGGGGGGGAGGCCGCCTACTGCGTCGAGTGTGACAAACAGTACGCCAACgtgtatctatataggagacaCCTCTCGCAGTCTGTCGTACACACGCCGCCCAAGCGTATaagaGTACCATGTCCTGATTGTGGGAAGCTGTTCAGTCGCAAGAATTACATGAATAATCATTACAGACTAATACATTCCAAGGATACGAAAAATTACTGTGAAATATGTAACAAGtttttcgCCAGAGGCTACGGTTTGAGGGTACACAGAAAATATGTACACGACAAAATGCCGAAGCCAAAAACTAAGATGTGTGATATCTGTGGACGGGGATTTGGTTCAAAACGAATTCTGGATAATCACCGACGCACGCACACAGGCGAGCGTCCCTTCATATGCGAACACTGTCCTGCCTCCTTTGCGCAGAAAACCGCCCTGAAGAGTCATCAAAAAACTCAGCACAAGaatgtacttacataa
Protein Sequence
MNILKLEIEKKPTLCHGCLSSDRRLSLIRDDSTLFFSLLGDQHQLTYNDSNDLTLCWECIAIMKKIQTFQNRIQNAQFILLQSLCHMDRPSTLSTLSLTYKCNYDVTVDEDGNTDTDNKIELNNLTDEIKQENSDEDNEVFDIITKEENDCSDTEYIAEITIEEEPKKNSNKCKNSEQTYSIKRYLKYATVSDGEKIDYSNFNKYYTKVFASHTEMEALTMRDRKHMSYDKLPFKCHTCKLGYIRRVDFNRHKACNHDEAPPYRCTQCKSTRESFSDLVEHWRVHTPMLKCNKCGHLARSRGELRKHMNRTHCTIYTCHSCCEEFGNLREFSNHYKKQHERAICDYCNKTFVKKRSLEMHIKRHHLPAVCPICHQKYGQYRTLVKHYRMYHTETRAGEGGAAGGEAAYCVECDKQYANVYLYRRHLSQSVVHTPPKRIRVPCPDCGKLFSRKNYMNNHYRLIHSKDTKNYCEICNKFFARGYGLRVHRKYVHDKMPKPKTKMCDICGRGFGSKRILDNHRRTHTGERPFICEHCPASFAQKTALKSHQKTQHKNVLT

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

100% Identity
-
90% Identity
-
80% Identity
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