Basic Information

Gene Symbol
-
Assembly
GCA_030523065.1
Location
JAPYYR010001278.1:906-3398[-]

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 0.0064 0.53 10.7 10.9 1 23 19 41 19 42 0.96
2 12 0.014 1.2 9.6 0.5 1 19 60 80 60 82 0.94
3 12 0.39 33 5.1 3.8 1 23 90 113 90 114 0.93
4 12 0.0023 0.19 12.1 0.4 1 21 147 169 147 170 0.95
5 12 0.00049 0.041 14.2 2.6 1 23 179 201 179 201 0.98
6 12 0.088 7.3 7.2 5.5 1 23 267 290 267 290 0.95
7 12 6.1e-05 0.0051 17.1 0.9 1 20 324 345 324 347 0.93
8 12 0.00029 0.024 15.0 1.7 1 23 355 378 355 378 0.98
9 12 0.012 0.99 9.9 1.5 1 20 401 422 401 424 0.94
10 12 0.0058 0.48 10.9 0.7 1 19 435 453 435 456 0.95
11 12 0.051 4.3 7.9 0.4 1 19 468 488 468 490 0.85
12 12 0.0013 0.1 13.0 0.9 1 23 500 523 500 523 0.98

Sequence Information

Coding Sequence
ATGGGTTCATTGAAGTCACATTTGGAATTTTCATGTGGTGTTAATGAGCCAAAATTTCGCTGTCATGTTTGTGGCTATAAATGCAGATACAAGCAGAATTATTACAAGCACATGTACAGCCATCATCAACAAAGAAGAtctggttcaaaaaaatcatcatcaccaacacaaaaatattatcattgtgAAACACCAGAttgtcaaatgaaatttattaaaaaaagtgattTAGATAAACACAATATTAATTGTAGTATTCCACCAcgttataaatgtttttattgtgATTATTTATGTAATGATCGTGAAGATGTTGAGTATCATGTATCATATGTACATCACGGACAAAATATGCGTTTTGTTGATCTTCAAGAAGctgatagtaataattttgGATCAATTGGTTTAATACAGCtttgtgataataatgaaaaaccaTATACTTGTAAAAGACCATCATGCAATAAAACATTTGCACTTGAAACAGAATTAACGAATCATCAACAATCAAATTGTCTTGCATTACCAGAACGTTATAAATGTCCATATTGCACAAAAGTTGGAAGATTTAAGTGTAATATTATACGTCATATTTCAAGTCATAAAAATATGCCAGACGCTAAACCAGTTGATTTGATGATTGACATAGAAACAAATGATGATACTATCAATACAATGCCATCAATGAGTACAGATagtaataattcatcatttattcataatttattaccaACAAAAGTTGAAAGACCAGATAACAATGATCCAGATAATGCAgatgatgttaataatttggCACTTTATAACTGTAAATATTGTGATAAACGTTATAAATGGAAATGTGTTTTAGTTCGTCATATACATATTAAACatccagaaaaaaatatcgttgTACAACAAGACATAACATCACCGAGACCAAAAAGTACAATAGTATTAAATTCACCAAATCAGAGTAGTGAACATACAGTATTTAATTGTACAAATTCTGGTTGTAATAAAGCTTtcaattataaagaaaatttaaaacgtCATCGTATCTATGAATGTAAATATTCACCACGTTTTAAGTGCGGTTATTGtgaatattcaacaaatttacgctttaatttgacaaaacatttatcaacaatacatGCAGATCAACcatcattaattattgacaataacGACCAACAAAATCAAGATGTCAAACCATCTTTATATAAATGCACAAATCAAAGATGCAACAGAGTATTTCATAACAATTCAGCAATGgaaaatcattcaaaaaatgaatgtTCATTTGCAACACAACAAGCACGTTATCGGTGTGGCTATTGTTGGAACAACTTTACCCTTAGAAGTTCATTAGTACGACACTCTcatatcTGTTTTGTTAGATCATCAAGACGTCCCGGACGTTTTCCATGCCCAAATTCAGGATGTGATAAAACATTTAGATGGAAACAAGGTCTATATACACACAAAACATATGAATGTGGAATTCCAATAAATCGTTTCAAGTGTAGCTACTGTAATTATGCTGTTAAAATACGTGGAAATGTTAGTTCACACATCAGAAGAAgacataaaaattatccagTTATCATTATTGATCTTTTATCAACGAAATAA
Protein Sequence
MGSLKSHLEFSCGVNEPKFRCHVCGYKCRYKQNYYKHMYSHHQQRRSGSKKSSSPTQKYYHCETPDCQMKFIKKSDLDKHNINCSIPPRYKCFYCDYLCNDREDVEYHVSYVHHGQNMRFVDLQEADSNNFGSIGLIQLCDNNEKPYTCKRPSCNKTFALETELTNHQQSNCLALPERYKCPYCTKVGRFKCNIIRHISSHKNMPDAKPVDLMIDIETNDDTINTMPSMSTDSNNSSFIHNLLPTKVERPDNNDPDNADDVNNLALYNCKYCDKRYKWKCVLVRHIHIKHPEKNIVVQQDITSPRPKSTIVLNSPNQSSEHTVFNCTNSGCNKAFNYKENLKRHRIYECKYSPRFKCGYCEYSTNLRFNLTKHLSTIHADQPSLIIDNNDQQNQDVKPSLYKCTNQRCNRVFHNNSAMENHSKNECSFATQQARYRCGYCWNNFTLRSSLVRHSHICFVRSSRRPGRFPCPNSGCDKTFRWKQGLYTHKTYECGIPINRFKCSYCNYAVKIRGNVSSHIRRRHKNYPVIIIDLLSTK

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

100% Identity
-
90% Identity
-
80% Identity
-