Basic Information

Gene Symbol
pho
Assembly
GCA_963576795.1
Location
OY756210.1:61922792-61924675[+]

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 4 0.00082 0.1 14.2 4.1 1 23 469 493 469 493 0.97
2 4 9.5e-07 0.00012 23.5 0.8 1 23 498 520 498 520 0.97
3 4 8.8e-05 0.011 17.3 0.7 1 23 526 550 526 550 0.97
4 4 5.2e-06 0.00063 21.1 5.0 1 23 556 580 556 580 0.98

Sequence Information

Coding Sequence
aTGATGAATTGTCATAATTTCGGTTTGGGCTCTACTAATAGTAGCTCCGCGCCCATTGTGAATAATTTATCATTGGCATCGGCTGCAGTACCAGTGTCATCACAACACAATGTTACTACTTCtcctttatattttactcaCATCTTACCTACATCCACTAATGTCAATACCTTAATTGAGTCGCCTTATGCCACAGATTTGGAGGAACAAATTGGTGCAGGCGGCTGTCCAGCTGTGGGGGaaagttttttaatagaagAAATTATTGATGAGCGTGATGAAGAGGGAAATATTGTAATTGATCCTGGGGAATTTTTTATATCTGGCGATAGCATACAATATTATGCCGTTCCTGAAACAATGCCTCCACATATAATCATGCAACCGTCCTCTTCAGCATCTTCTTCATTAGATTCGTTAACAGCTGCTGATTCTTTTGCTTATACAACAGAAAATGTTATTCATCTTAATGAAAGTGGAGCAGACGAAATATTACCAGAATCTTCCGAAACAAACGCTCCAGTTTTTGATGAATATGTTACCCAACTGAATTTAGAAACCAATGACTTCAATATTTCTGCATCTAATCAACCTGTAGTAGCTGATAATATTAAAATGGAACATGACGATGTGGACAACAACACTTCTAACTCATTGAcggtaattaaaaaagaaaagtcgGAGAATCCAGATGAGGGacgtaaagaaacaaaaatgcgCTTaacggaaaaattaaaaaaatcgcaGACTACAAAGCGCTGGAAACAAACTAAGGTTCCCATACGTATAACTCAAGATGAATTTAATGTCACACTTTGGTCAGCTCTTAACTCTGAAGATGAAGAGGATGATGAAGATGATCAAAATAACCAATCTGCCATTGATAATTAtgatattgataaaaaaatagaagaagacACAAACACTCTGAAATCTGGCGAAATTATAACGCCAGATTCTTTAACTGATATTATGGTGGATGAGCAACATGTAAATCGTCTGTTATTGGATGAAAGGCACACTAAAATTCATATCCAAGAAGGACTTTCACCCGCAGAATACGTTATTGTGCCCGATCCTTTTACTGGCGACATCGTCGAAGAAGAAGTAGAAACTGTTAATGAAAATCTAACTGGCAATATGAAATCAGAAGAACACACTTCACAGACTCAATTGAATACACTTGTTGTAAACCAACGAAGTACTAGGAATGAAGCTTCTTTACAGGCATGTTCAACAATAGCTCAACCAAAAATCGATTCAAACGTCAAActgaaaaatattcaattaaataagcaattaggtgcaacatataaaaaatcaagCGAAAATACAACAACACCATCGTCGTCATCATCAACAACCTCTTATACAACTGCATGTGCTTCAGGGACAGTAACTGTTTTTCGTTGTACATTTCGTGACTGCAACAAGGAATTTCGTAATCATTCAGCCATGCGCAAACACTCTGCTACTCATGGACCACGGGGTCATGTGTGTGCAGAGTGTGGTAAATCGTTTGTTGAGAGTTCTAAATTAAAACGTCATCAATTAGTCCATACGGGTGAAAAACCATTCGAGTGCACATTTGAAGGTTGCGGCAAGAGGTTTTCACTTGATTTTAATTTACGTACGCACGTTCGAATACATACAGGTGATCGACCGTACCATTGTCCTGTTGAAGGTTGTCACAAATGTTTTGCACAGTCTACCAATCTAAAGAGTCATATGCTGACCCATTCAAAGCCGAAACGTAAATGGCCTCGGCCAGTGAACAATAAACCATTGTTAGCACGTTATGGTCGCCTGGAACTGGGCGAAAATCCAGATTTAGTATACTTGGAAACAAATGAGCAGTATAGTTCTAATTTAGATAGTTCATAA
Protein Sequence
MMNCHNFGLGSTNSSSAPIVNNLSLASAAVPVSSQHNVTTSPLYFTHILPTSTNVNTLIESPYATDLEEQIGAGGCPAVGESFLIEEIIDERDEEGNIVIDPGEFFISGDSIQYYAVPETMPPHIIMQPSSSASSSLDSLTAADSFAYTTENVIHLNESGADEILPESSETNAPVFDEYVTQLNLETNDFNISASNQPVVADNIKMEHDDVDNNTSNSLTVIKKEKSENPDEGRKETKMRLTEKLKKSQTTKRWKQTKVPIRITQDEFNVTLWSALNSEDEEDDEDDQNNQSAIDNYDIDKKIEEDTNTLKSGEIITPDSLTDIMVDEQHVNRLLLDERHTKIHIQEGLSPAEYVIVPDPFTGDIVEEEVETVNENLTGNMKSEEHTSQTQLNTLVVNQRSTRNEASLQACSTIAQPKIDSNVKLKNIQLNKQLGATYKKSSENTTTPSSSSSTTSYTTACASGTVTVFRCTFRDCNKEFRNHSAMRKHSATHGPRGHVCAECGKSFVESSKLKRHQLVHTGEKPFECTFEGCGKRFSLDFNLRTHVRIHTGDRPYHCPVEGCHKCFAQSTNLKSHMLTHSKPKRKWPRPVNNKPLLARYGRLELGENPDLVYLETNEQYSSNLDSS

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

100% Identity
-
90% Identity
-
80% Identity
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