Basic Information

Gene Symbol
Znf131
Assembly
GCA_035046065.1
Location
JAWNOJ010000024.1:3241544-3260092[-]

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 13 0.45 32 5.3 2.8 3 23 331 353 329 353 0.93
2 13 1.8 1.3e+02 3.3 1.1 3 21 487 505 485 509 0.91
3 13 0.021 1.5 9.5 0.1 3 23 532 553 530 553 0.94
4 13 0.075 5.4 7.7 0.9 1 23 570 593 570 593 0.95
5 13 0.12 8.6 7.0 1.4 1 21 598 618 598 622 0.91
6 13 0.03 2.1 8.9 1.2 2 23 672 694 671 694 0.96
7 13 2.4 1.7e+02 3.0 0.4 1 20 699 718 699 720 0.80
8 13 1.8e-05 0.0013 19.1 0.6 2 23 776 796 775 796 0.97
9 13 4.8e-05 0.0034 17.8 0.8 1 23 802 825 802 825 0.91
10 13 3.6e-05 0.0026 18.1 1.1 1 23 849 871 849 871 0.99
11 13 0.0081 0.58 10.7 3.7 1 23 907 931 907 931 0.98
12 13 0.00083 0.059 13.9 2.6 2 23 943 964 942 964 0.96
13 13 0.0042 0.3 11.6 5.4 1 22 970 991 970 995 0.93

Sequence Information

Coding Sequence
ATGGGCAACAACGACTTAGACGACACACACCTTTGCATCAAATGCAATGCGACTATTGAGGgccttgaaaaatatattgaacatCGAAAGATAAACTGCCTCAGTCATGGTAGTTCTAATGACCATATAGCCAAGAAAGTAAATGAGTCACTTCCCACAAGCGCAAGTGAGGCAGAAGTCGCGTCTAACATTATAAGTCGTGATAACTTGGTACACAGCTACGATGGTTTTAATTTTGCCGAACCAGAGGCACCAAGTAGCTACTTGCGCAAGACTGCTGCTCATCATGGTGGTAAATCCTCAAAGTCATTGACAGATGCCTATGATCTTACGTATGAACTTGGTGCCGACGTCTTTTTTTCCTCGCTACAGTTGCAGAGCGTACAGTCCAGCTCGACGCATTCCAGCGGAGGCAAAACTGGCTCCAGTAGCAGTGGCCATCGTCAAAAAGAACATAGAGATGAGGAAAGCTGGCACGGCCATGCTCATGCCTGTACTGATACGCTTATGAAAGCGGTACACGAAATtggagaaaacaaaaaacatgatGAAGCAGTCTTTAAGCCACTTAAATTTGAACCTGATTCCCCAGAAGCAAGCGATGAGGAGGATGATGAAGATGACGGTGATGACTTTGACGCTGAGGATGAAGAAGATGAGGACTATGATCCAATTCGTGATGCGCATGCCTCAGGTGGTAAATGGCGCAGTTCACCACCAGCTGTTCCAGCCTCACACACAGGTGGTAAGTGGAAGCCAGAGCATCGGCCGCAGCTGCACGCTGTTGCACACATGGAGCGCATATCACCCAACTGGGACGAGCAAGCCGATGAACAGGCAGATGAACCGGGCACTCCTGAACTAGCATCACAGCATCCACCGGAGGAGTATACCAAGGGCAAATGGATACCAGGcagcaaaatgcaacaacGTCTCGAGTATCGCGACAACATTGATCTGACCAAGCTCAGCAGGCCCACTACGTACTGGTGCAACATTTGTTGCCGAAAGCTCAAAAACCGCAACAATTACGAGCAGCATCTGCGCACTGGTTATCATCAGCGTCGTGCTGAGGCAGAGCAGCAGCTGGAGCAAGCTGCACTAGGTGGCAATCTGCAGATTAGCAAGGATTTTGAAAGTGCTCAACCAAAACAGTTGCAACGTCGCCGGCGTGCCAATCTTCTACGCTGTAAGCTCTGTCGCCATAGCATGGCGCGCCATCTGATGGGTAAGCATCTCATTTCACATTATCATTATCGAAGACTGCAGCAACAGTCACAAATACGCCGTCAGAGCCACCTACATGACATTCTAGAACATATGCCAGCGATTGTAAGACAAGCGCCTTTCCAGTGCCTCAGTTGTCGTTTCTTTGCCAACACAGAGCCGGCATTCTTGGCTCATTGGCAATCAGTCGAGCATGTGAACTGTACAAAGCAACAGCTCGGAAACTTTTGGTGCCGCTATTGTCACTTTGAATGTGCTAGCAATGATGACATGTGGCTTCATCTTTTGGGAGCTGACCACAAGGAGGTACTGCTGGCCGTTAACCGCTCAGTACCTATTTGCATTGGAAAGCGTCGTTTTATTGCATGTTCACTCTGTggacaaagttttttatacaaCATCGAGCTTCGGCGGCACTTTGCCACTGTTCATGAGCACGCGGAACCCATGGACACCGCTGCAGATGACTATCAATCGCGCTTTCGATGTGGGCTATGCGGAGAACCACAGCGATCCCGTGTTGCACTGCAACGCCACGAAAAGCATAAGCATTCCATGGCCAAATACTACTGCGCCATCTGTCACATGGAATTCGACAATTCACTGCAGGCACGTCGTCATCGTAGTCTTACGAAGCATAAGCGGCAAGCCAATGCGAAGACAATTAAACAGCCAACGCCACAAGATGAGCAAAAGGAAATTGAGCACATGCTCAAAATGGTACTCGACGAGTTGCCCGAAAAGGTCGAGACGGAAAATGCAGTCAAGAAACCTCGCCTAAATTTGAAATGTGCAACTTGTCATGTGAAATTTGAAAGCGAACAACTCTTGGTGCAGCATCGACAGAAAGCCCATGCGTTGAACAACTATTCATGTCCCAGTTGCGGTGTTAACTTTCAGTGCCCCCAAGCATTGGGTAGGCACTCACGCTCATGTCAGCCCATAGCCTCCACCTCGGCAGCTGCCACGAACTTAAGTGCAGACGATTCCAAGCTTTGGTGCTGcgataattgcaattttcgcACGCAACTTGAATCGGACTTACTTTTCCATCGATTCTTTCACACTCGTGGTTCGATAGGAAAAAACGATCTACTGCAGTGTCCGTTGTGTCCCAAAAACTTTCGCAAGGATTCGCTGCGTGCTCATTTGCGAAATCATACGAATGAGCGTATTTTTGAGTGCACTCAATGTGATGCAAGATTTGCTAGACGTCATAATCTCAAGAATCATGTGGCAGCATTGCATGAAAAAACTACGAAACCAGTCTCATTGTCAGCGGACAAAGACAGCAAGAAATTGGTTCCCAAGAAGGAATTTCAATGTGGCACCTGCGGAAAGATTCTATCGAAAAAgtaTTCCTTAAAGGTGCACGAAAAAACCCACACCAATTTGGAACGTAACTATCGCTGTCATTACGAGGGCTGTCAATATGCGGGTCTaacactggaaagctttaagATACATCTGGTTTCCCATGCCAAGGGCAGCTTTAAATGTGACCAACAGGGATGCAGCTACGTTGGCAAAAGTAAAATGCATCTCAATAGaCACCGCAAAAGGCATTTGCCAGTTGACCAGCAAAATGCCAATTGGCTCGAATGCAATCAGTGTGACTTCAAGACTCGCGTCAAGGCTCATCTCAAGCGTCATATGGTGCGTCATACCGGTGAGAAGTTTCACAAGTGCCCATACTGTAAGTTCCAATGCAGCAGCTTTGATAATTTGCGCAAACATATTCTTAAGACCGGCAAACATCCTGGAAAATTTATCTATGAATGTGACAAATGCAAAGAACTGGAAAATGAAGAGTTTATGACTAATAATTTCAATGATTATCAGAATCATCTTAAAACAAACCATTTATAA
Protein Sequence
MGNNDLDDTHLCIKCNATIEGLEKYIEHRKINCLSHGSSNDHIAKKVNESLPTSASEAEVASNIISRDNLVHSYDGFNFAEPEAPSSYLRKTAAHHGGKSSKSLTDAYDLTYELGADVFFSSLQLQSVQSSSTHSSGGKTGSSSSGHRQKEHRDEESWHGHAHACTDTLMKAVHEIGENKKHDEAVFKPLKFEPDSPEASDEEDDEDDGDDFDAEDEEDEDYDPIRDAHASGGKWRSSPPAVPASHTGGKWKPEHRPQLHAVAHMERISPNWDEQADEQADEPGTPELASQHPPEEYTKGKWIPGSKMQQRLEYRDNIDLTKLSRPTTYWCNICCRKLKNRNNYEQHLRTGYHQRRAEAEQQLEQAALGGNLQISKDFESAQPKQLQRRRRANLLRCKLCRHSMARHLMGKHLISHYHYRRLQQQSQIRRQSHLHDILEHMPAIVRQAPFQCLSCRFFANTEPAFLAHWQSVEHVNCTKQQLGNFWCRYCHFECASNDDMWLHLLGADHKEVLLAVNRSVPICIGKRRFIACSLCGQSFLYNIELRRHFATVHEHAEPMDTAADDYQSRFRCGLCGEPQRSRVALQRHEKHKHSMAKYYCAICHMEFDNSLQARRHRSLTKHKRQANAKTIKQPTPQDEQKEIEHMLKMVLDELPEKVETENAVKKPRLNLKCATCHVKFESEQLLVQHRQKAHALNNYSCPSCGVNFQCPQALGRHSRSCQPIASTSAAATNLSADDSKLWCCDNCNFRTQLESDLLFHRFFHTRGSIGKNDLLQCPLCPKNFRKDSLRAHLRNHTNERIFECTQCDARFARRHNLKNHVAALHEKTTKPVSLSADKDSKKLVPKKEFQCGTCGKILSKKYSLKVHEKTHTNLERNYRCHYEGCQYAGLTLESFKIHLVSHAKGSFKCDQQGCSYVGKSKMHLNRHRKRHLPVDQQNANWLECNQCDFKTRVKAHLKRHMVRHTGEKFHKCPYCKFQCSSFDNLRKHILKTGKHPGKFIYECDKCKELENEEFMTNNFNDYQNHLKTNHL

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

100% Identity
-
90% Identity
-
80% Identity
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