Basic Information

Gene Symbol
-
Assembly
GCA_900080175.1
Location
FKYK01018330.1:21520-25883[+]

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 16 0.05 4.2 8.1 3.1 1 23 260 283 260 283 0.97
2 16 0.088 7.3 7.3 1.3 1 23 293 316 293 316 0.92
3 16 0.0058 0.48 11.0 1.2 2 23 350 372 349 372 0.95
4 16 0.033 2.8 8.6 0.2 2 23 381 403 381 403 0.97
5 16 0.083 6.9 7.4 1.9 1 23 594 616 594 616 0.96
6 16 0.00075 0.062 13.8 1.6 1 23 635 658 635 658 0.98
7 16 0.0026 0.22 12.1 4.0 1 23 663 685 663 685 0.98
8 16 0.0014 0.12 13.0 0.4 1 20 691 710 691 712 0.94
9 16 0.00019 0.016 15.7 1.6 1 20 718 737 718 739 0.95
10 16 5.8e-05 0.0048 17.3 1.4 1 20 778 797 778 798 0.97
11 16 0.00023 0.019 15.4 0.5 1 21 806 826 806 827 0.96
12 16 5.9e-05 0.0049 17.3 2.8 1 23 851 873 851 873 0.98
13 16 0.0002 0.016 15.6 0.1 1 22 879 900 879 900 0.95
14 16 4e-06 0.00033 21.0 4.6 1 23 907 929 907 930 0.96
15 16 6.7e-06 0.00056 20.3 0.9 1 23 935 957 935 957 0.99
16 16 0.022 1.9 9.2 0.6 1 20 963 982 963 984 0.93

Sequence Information

Coding Sequence
ATGGTCTCCGTGAATAGTATTTTGAATGGAGTGCACGACGCAAAGAATCTTACCGAACTATGCAGATTATGCGGGAAATTGAAGCAACCTTTGATTTCAATCTTTGACAAGTCTAATCTTATAAATTACCAAGAAATAATCAACTTTCACTTTAAGGGTATTCAAatttcaaaaactgatgattTATCGCTGAAAGTGTGTGGCGATTGTGTGAAGATCGTCCTTTCGTGGCATAGTTTCCATAATACATGTTTACGTGTGAACAATACTTTATTGTCTGTCGTCAATAAATTGAACTGGGAATCGGAGTGTAATCCAACAGCCAGTAAAAATGATGTCGAAGTAGTTGAAGTCGGTGTCGAACGTTTAATTCCCAACATCGAGAGACATAAAGATCAGAAAACTAATGAGAAAGCTACTGACCAATTACCTGAAAGTAATGTccaGGCGCTGATCGTCGACGAGATTTATTCGGACGAAGATGCAgaacctaattttttatgcggTAGTGATTTTGTATCGAAAAGTTTACCCATGAAGACCACAACCCACGTTGTAGAATCTACAACTTTTCCACCTTCGCGAAATATCCTGTCAAAGCAATACATTTTAGGAGGTGCCGATGAATTTCTCGTCGACGTCGCTGAATTGAATGACAGCTCGAAGTGTAAGCCTGAGACTGTGAATGAAGTACACAATGAAGTAGTAgtacttttttcagaagtacAAGATTTTCCTTTAATGAAAGGATTCATGTTGAATGATACAACGTCTCAGTTTCACTGCTCCACATGTTTTAAAGCACACGTTACCAGAGAAGAACTTGTCCAACACATTCGAACCGAACATGAGTCAAGTATTGGCCAAAGTGAGATGTACGAATGTGACATGTGCGTTGAagtatttgttaaaaatactcATCGTAATGATCATCGATTCAACGTACATAATTTACGTACTCCTTTAGATGCAGAATTTAAAGTTGTTAGAACCAACTATCAGCAAACTCAAAGTACCATAGAACTCGACGGCGATGATAATTTACTCAGTTGTGAATACTGTGATCTGAATTTTAATCTGGAAAGTAAACTTAAATTACACAAGATGCGTAAACATGGTGTAATGTATCAAAACGTGAGGCGATGTAATATTTGTTCGACGGTTTTGCTGAACAAGGGAGCTTTGAGACTCCACATTAAAACCGTTCATTCTAAATTGCTGGACGTAGACGCCAACACAAAAATTACCATCAGTGAAGAATACCTGCGGTTTTTATCGAAACGCATTGTATACGATGGTGAAATTCGTTACTTCCAATGCCAAAGatgcaAAACCAGACGCTCCGCATTTGTCAGCCTGAATGCAACAAGAGACATTAAAGAGACCGAAActgttcgtgaaaaaattccgctGCCGCAGTTATCAACTGATGAAGGATCCAGTGGTGTTACGAAATGCGTAAAATGCGGCTccgtatttctgaaaaataaggTACAAAGTGCAGACAATCGTGGTACATGCTATGCatgttattcaaaaattaataaaagtatgACAGCAACGATACCTGCCATCTTCCGGGACTACTTGGTAGTAGACGAGAACAAGCAGAGTTACTTTCTTTGTGATTTGTGTGATTTCTCTTGCGAAGCTTTTCCTGATGTATTTGCTCACCATTACAAAGCTCAACATCCAAAGGCGAACCTATGTCAAGATATCGTCAACGCTAGTAGTGAtcctttgagaaaattctctatcgaaaaaaatggagttACATCGTACCGTTGCGACCGTTGTCAAATATCCTGTATTTCTCGTAGTGTATTCGTGAAACATTACGCCGAACATTGCGATCGTAGGTTGCAGGCTGATACGGTAATGATCGAGTTTTACGATGATAAGTTTCGTTGCTctgtttgtgaaaaaatgtacgcCCACCTGTACGCAGCTAAAAGACATTTAAAACGAGTACACagcgagaaaaaatatcagtgTAATGTATGCCAGAAAGCGTTCACGTACGAGCATAAAGCACGTGAACACAAAAAACGTCACCTTAAAATTAAACCCTTCATGTGCGATATTTGCGGAAACAGATTCGTCGATAAGTTATACCTACAGAAACACAAAGATAAGAATTTATGCTTGAAATACACGTGCCTTTCGTGTaataaaaacttcagaaaTAAAGCTTCTCTACAACATCATCTTTCTCTTTGCGAAGTTGATCGACAGAAAGAGAATTGCCCAGAAAATGTACCCTCCGCTGCCAGAGATGAGTTAGTTCCACAGAAACAAAGTCAACTTCTCAAAGAAGCTTTGTTTATGAAGTACGAATGCGCccattgtaagaaaaaattcaaatctaaaCGTACGCTAAGGATTCATATCGTTGAAGAATTCAACTTATCGCCTTACAAATGTTTTATATGCGATCAACGTTTCAGAACTACAGTATTGCTGAAAGAACATTTGAATCTATGTAACAAATCTATACTCAAGGCAAATCGATGCGAAGACGTCTCTTTTATTAATAACGTTGATAATTCTTTCAGGTGTAAGCTATGTGGTCgcacttttcgaaaaattggctaCTTGCGACAACACTTTAGACTCCATTCCAATTCAAAACCATATGTATGCCCGTTTTGTGGTAAATCGTACGCTTTGAGGGCGTCTTTCCAGTCGCATATATTAACCGAAACGAACCTACGTAAATTCGTTTGTTCATCTTGTGGAAAAAGGTACAATTCCAGTTCCCATTTGACCGCTCACATCAAAAAGCACCATCGTTCGAGAGAATTCAAGTGTAACACGTGCGATAAAGAGTTTGCTTACGAGGGAGATCTCAAACAACATGAGAAAACTCACGATGAAGTCAAATCGTTCTTCTGCGACAGATGTggcggttttttcaaaactgaaagatACCTTAAAGTGCACTGGGAACGGTgcagtattttgaaaaagtga
Protein Sequence
MVSVNSILNGVHDAKNLTELCRLCGKLKQPLISIFDKSNLINYQEIINFHFKGIQISKTDDLSLKVCGDCVKIVLSWHSFHNTCLRVNNTLLSVVNKLNWESECNPTASKNDVEVVEVGVERLIPNIERHKDQKTNEKATDQLPESNVQALIVDEIYSDEDAEPNFLCGSDFVSKSLPMKTTTHVVESTTFPPSRNILSKQYILGGADEFLVDVAELNDSSKCKPETVNEVHNEVVVLFSEVQDFPLMKGFMLNDTTSQFHCSTCFKAHVTREELVQHIRTEHESSIGQSEMYECDMCVEVFVKNTHRNDHRFNVHNLRTPLDAEFKVVRTNYQQTQSTIELDGDDNLLSCEYCDLNFNLESKLKLHKMRKHGVMYQNVRRCNICSTVLLNKGALRLHIKTVHSKLLDVDANTKITISEEYLRFLSKRIVYDGEIRYFQCQRCKTRRSAFVSLNATRDIKETETVREKIPLPQLSTDEGSSGVTKCVKCGSVFLKNKVQSADNRGTCYACYSKINKSMTATIPAIFRDYLVVDENKQSYFLCDLCDFSCEAFPDVFAHHYKAQHPKANLCQDIVNASSDPLRKFSIEKNGVTSYRCDRCQISCISRSVFVKHYAEHCDRRLQADTVMIEFYDDKFRCSVCEKMYAHLYAAKRHLKRVHSEKKYQCNVCQKAFTYEHKAREHKKRHLKIKPFMCDICGNRFVDKLYLQKHKDKNLCLKYTCLSCNKNFRNKASLQHHLSLCEVDRQKENCPENVPSAARDELVPQKQSQLLKEALFMKYECAHCKKKFKSKRTLRIHIVEEFNLSPYKCFICDQRFRTTVLLKEHLNLCNKSILKANRCEDVSFINNVDNSFRCKLCGRTFRKIGYLRQHFRLHSNSKPYVCPFCGKSYALRASFQSHILTETNLRKFVCSSCGKRYNSSSHLTAHIKKHHRSREFKCNTCDKEFAYEGDLKQHEKTHDEVKSFFCDRCGGFFKTERYLKVHWERCSILKK

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

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