Basic Information

Gene Symbol
-
Assembly
GCA_907165275.1
Location
OU015674.1:845610-853990[+]

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 0.0061 0.45 11.6 0.0 1 23 117 139 117 139 0.99
2 11 1.2 91 4.4 0.8 1 14 172 185 172 195 0.89
3 11 2.2e-06 0.00017 22.4 1.4 1 23 200 223 200 223 0.91
4 11 0.0091 0.68 11.1 1.3 1 23 229 251 229 251 0.98
5 11 1.3e-05 0.00097 20.0 1.1 2 23 265 286 264 286 0.96
6 11 0.3 23 6.3 1.1 2 23 292 314 291 314 0.95
7 11 0.34 25 6.1 4.9 2 23 327 349 327 349 0.97
8 11 0.016 1.2 10.3 0.9 1 23 356 379 356 379 0.94
9 11 0.00097 0.072 14.1 0.5 6 23 393 411 390 411 0.96
10 11 3.7e-06 0.00028 21.7 0.4 1 23 420 442 420 442 0.98
11 11 7.6e-05 0.0056 17.6 1.8 1 23 447 470 447 470 0.96

Sequence Information

Coding Sequence
ATGAGCAAGATTGGCAGTGGAGAACAAGCTCTGGATTTGTCGCTAGCCACAAGTAGTAATGGGCCGGTGATAAAAACGCTGATAAAAAAGGAAAGGCATAAGAAAGAGAAAAGGAAAAAAGGTGGAGACGATACAGCTGATGAGGACTACTTGCCTAGTAAAAAGTATAGTAAGAAAAAGACAAATTCCGAAGCCAATGTGAAACCAATATTCAAGGGAAAATCTAATCAGCCCCAGGAGAATTTGTACCCGGACTCCATATTGGAGCATATCGAGATAGTGACTATCAATGAGGCAGAGCGTCAGCTCGAGCACAGGAGCATATGGCAGAGCCGCATGCACATGAGGTACACGTGCGAGGACTGCGCCATCGGCTTCGTCGTCGAAGATGCTTACCTGATGCATATGAAGATACACACGCCGGAGGCCGGGCAGTTCGAGTGCGACCTGTGCCACACGTGGATGCGGTCCGGCGACGTGCTGTACCGGCACCGGCTGCGGCACTTCCGCCGGTACCGGTGCCGGCTGTGCCGCGCCGTGTTCCGCGACAAGGAGACGGCGGCGTGCCACGTGCACGCGGAGCACGCGCGCCGCGCCTTCCTCTGCCCGCACTGCGGCAAGGGCTTCAAGCGGCCGCAGTACCTGAAGCGGCACGTGGAACAGATGCACACCAAGCTGAACGTGTTCGAGTGCCCCGTCTGCCAGCAGGTGGTGCACGAGCGCAGCCGCTACCGGAGCCACGTCAGGACGCACAACGACGAGGTGCGCACGCAGACCCACCGGCCGGTGCTGATCTGCGACACGTGCTCGCGCCAGTTCCGCAGCAAGGCCAACCTGAAGCGGCACCTCGTGACGCACGAGCAGGGCTTCGTCGTGTGCCGCGTGTGCTCCTACCCGTGCAAGAACCTGAACGTGCTGCGCGTGCACTACAGCCGCAACCACAAGGACGCCGGGCCGGAGTCGCTGGTCAGCGAGCGGCAGTGCGCGCACTGCATGCGCATCTGCGCGTCGCAGGCGCTGCTGCGGCACCACGTGCGGCGCATGCACACCGACCGGACCAAGAAGTACCAGTGCGACCACTGCAAGCGCTTCTACCTGACCAAGGGCGAGGTGCGCGCGCACATCGCGTGGTCGCACCTGCGCGCGGCCGGCGCCGGCGGCGGCCACCGCTGCCCGTGCGGCCGCGTGTTCCGCACGCCCGCGCAGCTGCGGGCGCACCACGCGCGCGACCACCTGCAGCTGCAGCTGCCGCGCGACTACGCGTGCGGCGAGTGCGGCAAGGCGTTCACGTCGAATCAGATATTGAAGCGGCACATGAAGAGCCACAGCGACAAGACGTACCCGTGCCCCGAGTGCGGGCACACGTTCAAGACGGAGTCGTACGTGGCCGTGCACCACAAGCTGCGCCACCTGCACATGACGCGCGCGCAGATCCAGGCCGAGCGGCGGCCCAAGCTGGTGCACATGGTCGCGCCCGCCGCGCCCGCCGGCAACAAGAAGAAGAACAAGCGCCGGAGACAGAGGCGCGGCCGCGACGACGGCTCGGAAGGTAACGAGTCTGTGCAGATAAAGATAGAACCGGAGAGCGACGGCGAAGCGGCCGACCTGCTCGGGACGCTGGCCGAATTGAAGGCGGAATAG
Protein Sequence
MSKIGSGEQALDLSLATSSNGPVIKTLIKKERHKKEKRKKGGDDTADEDYLPSKKYSKKKTNSEANVKPIFKGKSNQPQENLYPDSILEHIEIVTINEAERQLEHRSIWQSRMHMRYTCEDCAIGFVVEDAYLMHMKIHTPEAGQFECDLCHTWMRSGDVLYRHRLRHFRRYRCRLCRAVFRDKETAACHVHAEHARRAFLCPHCGKGFKRPQYLKRHVEQMHTKLNVFECPVCQQVVHERSRYRSHVRTHNDEVRTQTHRPVLICDTCSRQFRSKANLKRHLVTHEQGFVVCRVCSYPCKNLNVLRVHYSRNHKDAGPESLVSERQCAHCMRICASQALLRHHVRRMHTDRTKKYQCDHCKRFYLTKGEVRAHIAWSHLRAAGAGGGHRCPCGRVFRTPAQLRAHHARDHLQLQLPRDYACGECGKAFTSNQILKRHMKSHSDKTYPCPECGHTFKTESYVAVHHKLRHLHMTRAQIQAERRPKLVHMVAPAAPAGNKKKNKRRRQRRGRDDGSEGNESVQIKIEPESDGEAADLLGTLAELKAE

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

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