Basic Information

Gene Symbol
-
Assembly
GCA_963854835.1
Location
OY978529.1:3646036-3649418[-]

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 11 0.092 8.8 7.9 0.9 3 21 585 603 583 607 0.92
2 11 0.00079 0.076 14.4 1.1 2 23 629 651 628 651 0.93
3 11 0.77 74 5.0 0.8 2 23 669 691 668 691 0.94
4 11 0.12 12 7.5 1.3 1 23 696 720 696 720 0.93
5 11 2.6 2.5e+02 3.3 0.4 2 23 769 790 769 790 0.94
6 11 0.037 3.6 9.1 0.2 1 23 843 866 843 866 0.91
7 11 0.37 36 6.0 1.1 1 21 871 891 871 892 0.92
8 11 0.07 6.7 8.3 0.1 2 23 931 952 930 952 0.94
9 11 0.0018 0.18 13.3 0.7 2 23 967 987 966 987 0.95
10 11 0.00048 0.046 15.1 5.0 1 23 993 1016 993 1016 0.95
11 11 0.87 83 4.8 1.3 1 13 1046 1058 1046 1058 0.93

Sequence Information

Coding Sequence
ATGGATTACGACGATATGGACGATACACATCTGTGTATTAAATGCAGTGCTACCATTATCGGTATGGATAATTATATAGAACATCGTAAAATGAATTGTGGTCGAAACAGTAGCAATGTGACAAATCATCAACGCGCCATAGAGCCGTCTTCCGAAGGTGCAACAGCAAAAAATCGTCGATCACAAAAACGCAGACCTCTGCGACATATGATTATGGGTAATAGCAGTAGCATATCATCAGCCAATAATAccacaacaacgacaacgacaagcACGCCGAAAAGTGTTCATATAATGGAAGTGGACGGAGCATTTCCATTTACCGAACCGGAACCACCCAGCTCGTATGTGTCAAAGAATGTTGCAGCCGATGTTGCCGCCGCAgcggctgctgctgccgctgccaGTCATGAGGATGATGTACCGAGTACGAGCGGCAAATCTTCACATACTAAAACATTTACTGATCCCTATGATATTCCTTATGAATTGGATGCCGATCTTTTCTTTTCATCGCTGCAACTGCAAAGCGTACAGTCAGTACCAACACAGGCCCACACAGGTGGTAAGACAACGTCAACGTTGTCGTCGTCGGGAACGGCGATAGCTCATCATACACGTGCCTCAACAAGTCGTCAATGCAGCAATGAGACGACACTCATGCAAGTTGTCGGCAAAAAATACTACGATGAAGTCTATAATCCAATGGATTATGATCGTGATTCGCCAGAGATCACAAGTGGTGATGATCTAGATCTTGTCATCGAAACAGATGATATTGAGGCGGAAGCTGAAGGCGGAGGAGCAGTCGAAGGAGAGGTAGATGTTGTCGACGATGGTGTGGAGGATGTTATAGAGGATGCCGGCGAAGAAGATGGtttggaggacggcgcagacgACGATCATGATGAAGATGACGACCTCGATGATGAAGACTATGATCCGCATGTTGATATCGATGATACGTCTCCGCAGAATAAATGGAAATTGGCAATGTTACGAAATCAATCATCGATGCTTAGCATGCCAGATACACATACAGGCGGCAAATGGGCACCAGATGGAACACCATCGACAGCAACGATTACAATAGCACGTCTCTCACCGTCTTGGGATGATCCAGCAGATGATCAACATCCACCCGATGGTCATACGAAAGGAAAATGGGTACCTGGCACAAAACTTCAACATTTGGAGTACAAATCTGAGGTCGCTTTAGCGAAAACCACCACAGAAGAGTATTGGTGCAATATATGTTGTCGCAAATTGAAGAGTAAGCCGATCTATGAGATGCATCTGAAATCGAATTATCATCATAAGCGCACCGAGCCGGAACAACAGCTAGAGAAAGCCACTTTGGATGATCTACGTTTAGGTGAAGATTTGAGTAAGAGTCTACTGGAATTACTGGAGGAACCTAGTATAGAGCAGCCCAGAGTGTGTACTTCGCCCAACGGTGGCCCCACAAAAAGGCTACGTTCGCGAAAATTTATCAAATGTGATCTCTGCAAGCATACCATACGTCGGCAGAATGTTGGGAAGCATCTCATCTCACATTATCATTATCGACGCATGCGAATCCATCCGGAGAAATCGTTACATATGATATTTGATCACATACATTCGATATGCCTGCAGGCACCATATCAATGTCGCCCCTGTCGTTTTTATGCCAACACCGAGGACACTTTCTTGGCTCACTGGAATTCAGCCTCGCATTTGGACATCTCTGAGGGTCCTGGTAAATTTTGGTGTAACTATTGCCAATACGAGTGCGAAGATAACAATCAGATGCGTCGTCATCTGCTTGGACCCGAGCACAAGGAAGTCATCTTGACAATAGATCGTTCCGTTCCGATTTGTATTAGTAAAAAACTGGATTTGAGTTGCAACAGATGCCATGCGACATTTCGTTACAATGTTGCACTACGCCGTCACATTAGTCTAGTTCACCCGGGTATGGAGCTGCCTGATACAGTCTCTGATAAATATCAGAATCGTGTACAATGTCAAATATGTGCTGATTATTTTCACTCGCAGGTGACACTACAGCGTCATGAGAAAAATGCGCACAGTGTGACGCGATATTATTGTGCGATTTGTACAATGGAATTTGGGACGCCATGTCAGGCGAGACAACATCGCAAGACCATGGAGCATAGGCGccaagcagcagcaacatccaGCACTGCTAGTTCATTAGAGGCGAGCGGGTTGTTGCTCAAGGAGAAGAAAGATCTGGACCGTTTGAGGGCATTGAAAATGAAATCTCTGAAAAAAAGTAAGGGTTCGGATAAATGgagaaaatgcaaaatatgcaatttCGTTGCCTTTACCTTTTGGGAAGCCAGTAAACATGCTCGAATGCATCGTAAATTGAGTTGCAATAAAAAGAAAGTtctcgaaaataaaattgaaacgaaCAAAATGCCGAATAACGACCCAAAAATCTCAGAACAGTCTACAATGTACCACACATTGCAAAAAAAGAAGCAGCGTCCACAACGATGTTCCAAGGTGACCTCATTCAAATGTAAAGACTGTGGTGATGTGCTGACATCGATGGAAGAACTTAAATTGCATCGTGATGCAAAGCATCCACAAATGCGTCATGTATGTCATTGTTGTGGTGAAACGTTTGCATTGCCACAATCATTAGGACGGCACTCGCGCGTATGTCAACCACAAGTGATAGTAGCGCAAGGGTCTACGAAAAGTAATACCAACGAAACTTCAATCGACCCAAATGAAATGGTCACTGCATCTGTCATTGTCGATACTAAAACATGGCCTTGCAATGAATGTAATTTTAGCGCCTCCTATCAAGCTGAACTTATCTACCATCGTCTCTTTCATACCCATGGTACGAGTAGTTTAGCGAGTAAAAATGCAACTCTACCATGTCCAATATGCGCGAAGAGTTTTCGTAAGCGTTCATTGCGCTATCATTTATATAAACATACTGATGAGAGATTATTCgagtgtaaatattgtaaatcaaAATTTACACAACCTCATAATCTGAAGGatcatatacataatatacattcTCAGGAAGAAACAGGTGACGAGAGCACAGCAAAGGACACGACAACGGCAAGCGCAACAATTATAGATGGAGGAGGTCGACGTAGATATCCATGTGATACTTGTGAAAAGACTTATTCGACAAAGTAA
Protein Sequence
MDYDDMDDTHLCIKCSATIIGMDNYIEHRKMNCGRNSSNVTNHQRAIEPSSEGATAKNRRSQKRRPLRHMIMGNSSSISSANNTTTTTTTSTPKSVHIMEVDGAFPFTEPEPPSSYVSKNVAADVAAAAAAAAAASHEDDVPSTSGKSSHTKTFTDPYDIPYELDADLFFSSLQLQSVQSVPTQAHTGGKTTSTLSSSGTAIAHHTRASTSRQCSNETTLMQVVGKKYYDEVYNPMDYDRDSPEITSGDDLDLVIETDDIEAEAEGGGAVEGEVDVVDDGVEDVIEDAGEEDGLEDGADDDHDEDDDLDDEDYDPHVDIDDTSPQNKWKLAMLRNQSSMLSMPDTHTGGKWAPDGTPSTATITIARLSPSWDDPADDQHPPDGHTKGKWVPGTKLQHLEYKSEVALAKTTTEEYWCNICCRKLKSKPIYEMHLKSNYHHKRTEPEQQLEKATLDDLRLGEDLSKSLLELLEEPSIEQPRVCTSPNGGPTKRLRSRKFIKCDLCKHTIRRQNVGKHLISHYHYRRMRIHPEKSLHMIFDHIHSICLQAPYQCRPCRFYANTEDTFLAHWNSASHLDISEGPGKFWCNYCQYECEDNNQMRRHLLGPEHKEVILTIDRSVPICISKKLDLSCNRCHATFRYNVALRRHISLVHPGMELPDTVSDKYQNRVQCQICADYFHSQVTLQRHEKNAHSVTRYYCAICTMEFGTPCQARQHRKTMEHRRQAAATSSTASSLEASGLLLKEKKDLDRLRALKMKSLKKSKGSDKWRKCKICNFVAFTFWEASKHARMHRKLSCNKKKVLENKIETNKMPNNDPKISEQSTMYHTLQKKKQRPQRCSKVTSFKCKDCGDVLTSMEELKLHRDAKHPQMRHVCHCCGETFALPQSLGRHSRVCQPQVIVAQGSTKSNTNETSIDPNEMVTASVIVDTKTWPCNECNFSASYQAELIYHRLFHTHGTSSLASKNATLPCPICAKSFRKRSLRYHLYKHTDERLFECKYCKSKFTQPHNLKDHIHNIHSQEETGDESTAKDTTTASATIIDGGGRRRYPCDTCEKTYSTK

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

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