Basic Information

Gene Symbol
-
Assembly
GCA_956483605.1
Location
OY101434.1:7025700-7031168[-]

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 14 1.9e-06 0.00021 21.9 3.5 1 23 202 224 202 224 0.98
2 14 0.0014 0.15 13.0 3.3 1 23 230 252 230 252 0.96
3 14 0.00052 0.056 14.3 1.6 1 23 339 361 339 362 0.94
4 14 2.4e-05 0.0026 18.5 0.9 1 23 395 417 395 417 0.98
5 14 0.45 49 5.0 1.7 2 23 435 456 434 456 0.91
6 14 0.026 2.9 8.9 0.2 2 23 467 489 466 489 0.92
7 14 0.00036 0.039 14.8 1.9 2 23 497 518 497 518 0.97
8 14 0.0025 0.27 12.1 2.9 3 23 525 545 524 545 0.92
9 14 0.0086 0.94 10.4 0.0 2 23 551 572 550 572 0.95
10 14 2.3e-05 0.0025 18.5 0.2 1 23 588 610 588 610 0.98
11 14 0.00015 0.017 15.9 0.2 3 23 618 638 616 638 0.97
12 14 1.4e-05 0.0016 19.2 0.1 1 23 644 666 644 667 0.95
13 14 0.00048 0.052 14.4 1.6 1 23 680 702 680 702 0.96
14 14 4.1e-05 0.0044 17.8 0.1 2 23 980 1002 979 1002 0.96

Sequence Information

Coding Sequence
ATGGATACAGACTTTGTGGAAGAAATCGTATCCATCCATCCTGATAACCAAACACTCAATTTCGATCGGACGGACAATATCCTATGTTCTGATGATATTGGCGTTTCTAATATTAAGACAGAGTTTTACAGTACAGTTGACATTGATGATGCTATTTCTTCTGAACATTGTTTAGTACAACCTATTGAGTCTTCATATTTCATTAACGGTAGTACATCTAAGCATGACCTTAATCATATGACGAGAGCTGTCATGGAATCTGTGCCATATGCTGACGGATTGCAATATTTAGCTGCCATATCTTCATTTAGTGATAATTATAAGgaaaTGGATCCACGTCAATTGAAACAAGAAACAGAGGAATTATTTGAGTCTACTGATGAGGAATTTCAAGATTATTTTGATGTTCAAGAAGAAGTAGTTCAAGAAGAAGTGGTAGTTCAAGAATGTCCCGAGCAAGAAATCATTACTCAAAGTTGGGATATTGATCATTCATCTAATATTGATAAcaTATTGCATGCAGAAGTTGAATGCTTGTCTTCATCAGTTGATGTTGACATCCCAATACCTGAAGGTGAAGAAGCATCATCTTCTGTTAATCCATATCCATGTGATTTTTGTAGTCGAAGATTTAGTAGAAAATCACATCTTATGAATCATATGGTCACTCATCAATCAGAACGTCCTTTTTGTTGTGCATTATGTGGTGTGCGTTATCGACGTAAATGTGATTTAGCAAATCATATGACAATACATATAGGTCCTGATAATCAATCAGAAAATGGAAcagagaATCAAAATACATCGGTTTCTAAAGCAATGAACAAATTAATGTTCATGGACCCAATACAAAGACGGAGTGTTACGCCCGGTGAAGATTCTGAAGATAAATTAGACAAGGAACAAAATACCAGAAACCGCAGTCGTGGAAGAGGTCGTGGTAGAGGAAGGGGTCGCCCACTGAAAGATCGTTTAATGACACTTGGTTGGAACTCAGAGTTATATACAAAACCACATACATGTAACCCATGTGGGATTTCATTCACCCGTGAAAAAGCTCTTCTTAATCATGCTCGTATACATCATATTGATGatggtgtaaatattataactaccCAAAAGACAAATTCAGATAGTTATGAGCTTACAATATTATCTAGTATCAAAGACAGTGATGTCAGTTATCCTTGTGATTCATGTGGAATGGTGTTTGACAGATTTGATTTCTTAAAGCGCCATCAAAGgcaacaTATGAAAAAAGAACACGGAAACGTTGAAGAAGAAATATACGAAGAGGCACATATGTGTATACACTGTGGGTTGTTCTTTAAATCCATAATAGAGTTAGAAATGCATACTGAACAACATTTGCTCCCTACAAATATTTCTGaaaaATCAAAGTGTTTAGTTTGTAATGAAACATTCGAAAGTACTGTTGAACTATCTGATCATGTATCTCAAATGCATAGTGATTCATTATCTGAAAACTCGTGCAAGCTTTGTGGAAAACAGTGTAGAGATGATAAAGCTCTACAAAAACATATAATGATTCATGATACTTCTGATAATACCTGTATAATGTGTGGTAAACAATTTCATTCCAGGGCACGTCTTAAACGGCATATGATTACTCATcgagaaaaattaattgtttgtgACGTATGCGGGGAAGAAGTTGCCGATAAACGAGCACTTATTAATCATAAAGCAAGTCATTCAAATACTGTTAGTATTACACGAAACTCATTGACTGAAAAAGTATTTCCTTGTTCAAGTTGTGGCAAAGTTTTTGGATCTAGGTCTTCTCAACAAATACATATACGAATACATACAGGAGAACGACCTTACGGTTGTAAATATTGTAGCAAAGCTTTTGCTGATGGCGGTACACTTAGAAAACATGAACGAATACACACCGGTGAAAAACCATATGCTTGTCCAGTCTGTCCAAAAGCATTTAATCAAAGAgtTGTATTACGTGAACATATACGAGCCCATCATGCGGGTACTGAGGCGAGGGGAGGACAAGTTAATTTTTATGAATGTAAAGTCTGTGGCTATTTGTTCCGCTCTTCAATGGAACTTTGTTCACATTTAGTACAACACAGTGACGAAAATACGGCAAAATCTAGAGTAGTTCCTgtgGGGCCTCGAAAATACAAACGTCGTAGCAAGTTGGGCAATCGAAAAGACACTTGGTGTTTAGTAGAGAAGGTCTATACAGTTATGTCAGGGCAGTCTGATACCGAAAGTTGTGAAGACGACCCAATGCCTACTGCAGAAGAGCAAGCTATTCAGTCAATTATAGACACTGATGATCAGTTGTATAGCTCTGGACCTGTGGTTAGCCCCACCAGATCTTTACCAGTTAAAACTTATAAGATTGTTAACGGTAAAGTGACGAAACATGAATCAAAGTCTTCTAAGTATATGTATCCAACAGGAAAATTTCTACTTACTAATAAACCGATACCAAAAAAACCTAGCTTCATACTAAAGGATGGCCAGTGTACTAGAACATTTCCTACTGTTAGTTATTATTGTACTAAAAGAAATTCAGAATTAATTCTTGATTCATCATTAGGAGAGGAAACTAAAGAAAACGATAATCCAGATGATCCTGAAGATCAGATATCTGTTGAGGATATggatttatcaaatattaagcCTGAGCCTCTTGAAAATGATGAGTCAGAATTTGAAGTACAAGACTACGAAAACATATGTAATATTGAATATACAGATCAGGACGATGTGAAATATTACATACCAGACAATGATGAATTTGATTCACAAGAAGACATTATAATGGAAGCTGTAAATGATGACTGTTTGATTGAGACTGAACTGGTGTTTGATACGGATTATGTTGAAGAAGTTGGTGCAAACATTGAATTAAGTACTGAAGAAATGGTACCCATTTACCCAGAAACTATTTCTTGTGATATTTGTGACGAAATATTTGAGGATAGAAGAGAACTTATGAAACATATTCAATCTATGCACATTGGATAA
Protein Sequence
MDTDFVEEIVSIHPDNQTLNFDRTDNILCSDDIGVSNIKTEFYSTVDIDDAISSEHCLVQPIESSYFINGSTSKHDLNHMTRAVMESVPYADGLQYLAAISSFSDNYKEMDPRQLKQETEELFESTDEEFQDYFDVQEEVVQEEVVVQECPEQEIITQSWDIDHSSNIDNILHAEVECLSSSVDVDIPIPEGEEASSSVNPYPCDFCSRRFSRKSHLMNHMVTHQSERPFCCALCGVRYRRKCDLANHMTIHIGPDNQSENGTENQNTSVSKAMNKLMFMDPIQRRSVTPGEDSEDKLDKEQNTRNRSRGRGRGRGRGRPLKDRLMTLGWNSELYTKPHTCNPCGISFTREKALLNHARIHHIDDGVNIITTQKTNSDSYELTILSSIKDSDVSYPCDSCGMVFDRFDFLKRHQRQHMKKEHGNVEEEIYEEAHMCIHCGLFFKSIIELEMHTEQHLLPTNISEKSKCLVCNETFESTVELSDHVSQMHSDSLSENSCKLCGKQCRDDKALQKHIMIHDTSDNTCIMCGKQFHSRARLKRHMITHREKLIVCDVCGEEVADKRALINHKASHSNTVSITRNSLTEKVFPCSSCGKVFGSRSSQQIHIRIHTGERPYGCKYCSKAFADGGTLRKHERIHTGEKPYACPVCPKAFNQRVVLREHIRAHHAGTEARGGQVNFYECKVCGYLFRSSMELCSHLVQHSDENTAKSRVVPVGPRKYKRRSKLGNRKDTWCLVEKVYTVMSGQSDTESCEDDPMPTAEEQAIQSIIDTDDQLYSSGPVVSPTRSLPVKTYKIVNGKVTKHESKSSKYMYPTGKFLLTNKPIPKKPSFILKDGQCTRTFPTVSYYCTKRNSELILDSSLGEETKENDNPDDPEDQISVEDMDLSNIKPEPLENDESEFEVQDYENICNIEYTDQDDVKYYIPDNDEFDSQEDIIMEAVNDDCLIETELVFDTDYVEEVGANIELSTEEMVPIYPETISCDICDEIFEDRRELMKHIQSMHIG

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

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