Basic Information

Gene Symbol
-
Assembly
GCA_947562085.1
Location
OX387334.1:12983444-12996073[-]

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 12 1.3 1.7e+02 3.8 0.4 2 23 96 117 95 117 0.92
2 12 0.0014 0.18 13.2 0.2 1 23 124 146 124 146 0.96
3 12 0.56 73 5.0 0.1 1 23 150 173 150 173 0.95
4 12 0.00035 0.045 15.1 0.3 2 20 178 196 177 198 0.94
5 12 0.00039 0.05 14.9 1.0 3 23 208 228 207 228 0.98
6 12 6.7e-05 0.0087 17.3 3.9 2 23 236 257 235 257 0.96
7 12 0.0031 0.41 12.1 0.7 2 23 262 283 261 283 0.97
8 12 0.00049 0.063 14.6 4.0 2 23 295 317 295 317 0.95
9 12 0.0015 0.19 13.1 0.2 1 23 325 348 325 348 0.94
10 12 0.0037 0.47 11.9 1.4 6 23 359 377 357 377 0.95
11 12 1.1e-05 0.0014 19.8 1.9 3 23 388 408 386 408 0.96
12 12 2.3e-05 0.0029 18.8 1.3 1 23 413 436 413 436 0.96

Sequence Information

Coding Sequence
ATGGAGGTTGAGGAATCCGAATCGCCGGTTTGTTTAGTGATACAAGAAACAATTTACGTAAAGCCAGAAATCATTGACAGTGGCAGTGATGAGAACATTACTATTTGTGAAAATATTTACATAAAGTCAGAGAACGACACAGATGAATCGAATACACAGGAAGGTCCCGACGACGTACTATCTGCCAATGACATAATAATGTACATAGAGATGATAAAGCTCACGGAGGAAGAGCGTCAGGCCGAACACCGAGTGGTTATGGAGCGGTTGATAGGCAGCCATAGCGTGTGTGATGGGTGCGCGCTCGCGTTCACGTGCGACAAGGATTTTGAGGCACATTTGAAGCTACATTCCGACGATCACGGCCCGTTCGCATGCGACATATGCCGCGTACGCTTTGAATCGGCCAGCTCTGTGGAGAAGCACCGTTTGCAGCATTACGCTAGCTACCGCTGCATGCTGTGCCGGACTGTGCTGAAGGACTATGAGCTGGCAGCGAGGCATGTGGCCAAGGAACACGTCGGCCGGGTGCGGTGCCCCATCTGTGACAGGGGGTTTAAACGCGCGATCTGCCTCAGCAAGCACGTCGAGCAGTGCCGCGCCGCGCCCAAGCAGGTCGCGTGCCCCGTGTGCGACAAGCTCTGCAACGGGAAGCCGCAGCTCAGCAAGCACATGAGGAACCACTCGCCCCATTCGCCGATCCTGAACTGCGACACATGCCACCTCCAGTTCAAGAACCGTTACTCGCTGCGGCGGCATTTGCTCACCCACGAGGCGAGCGTCCGCTGCTCCGCCTGCGACCAGCTCTGCAAGAACCCGCAGACCTTGGAGGTTCATATGTTGACGCATAAAAGCAGGCAGAACAAGAAGCCGCCGGAGGCGCGGTGCCCGCACTGCGAGCGCGTCTGCTCCAACCGGCAGATGCTCAAGCGGCACGTCGCGCGGATGCACGCGCTGGACAGGGAGAAAAAGTTCGAGTGCGACTACTGCGGCAACCGGTTCATGACCAAGGGCGAGGCGCGCGAGCACATCTCGTGGACGCACATGGGCGCCCGCCGCGCGCACGCCTGCCGCTGCGGACGCGTGTTCCGCACGCCCGCTAGGCTGAAGGCGCACGTACACACCACTCACATGCACAAGGCGACGGTCAAGGATCATCTGTGTGACGTCTGCCAGAAGGCGTTCCCGTCCAACTCGGAAATGAATCGGCACAAGCGCACGCACGCCGGCACTCGCTACCCGTGCCCCGAATGCGGGGAGACGTTTAAAACGCGCAACTACGTCAATATTCACCACAAGCTTAAACACATGAACATGACGCGAGAAGAGATCAGGCAGCAGAACAAGCAGAAGCGAGAGCAACGCATGCAAGACATCGCTAAAGTACACAAGAAGAAGATTAGAAAAGTCTACAGTCAGCAACGCGATGCTAAAAATGTTCGCGACAAGATCGGGTTCTTTCGCAAACCGAAGGACTGTGTGGCTGATGAAAGTGGTAATGACAAATGTGAAGATAAGGAGATCAGTGTACCCAAGTTTGATGCTTTTGTGGATGCGCTGAAAGATAATGATTAA
Protein Sequence
MEVEESESPVCLVIQETIYVKPEIIDSGSDENITICENIYIKSENDTDESNTQEGPDDVLSANDIIMYIEMIKLTEEERQAEHRVVMERLIGSHSVCDGCALAFTCDKDFEAHLKLHSDDHGPFACDICRVRFESASSVEKHRLQHYASYRCMLCRTVLKDYELAARHVAKEHVGRVRCPICDRGFKRAICLSKHVEQCRAAPKQVACPVCDKLCNGKPQLSKHMRNHSPHSPILNCDTCHLQFKNRYSLRRHLLTHEASVRCSACDQLCKNPQTLEVHMLTHKSRQNKKPPEARCPHCERVCSNRQMLKRHVARMHALDREKKFECDYCGNRFMTKGEAREHISWTHMGARRAHACRCGRVFRTPARLKAHVHTTHMHKATVKDHLCDVCQKAFPSNSEMNRHKRTHAGTRYPCPECGETFKTRNYVNIHHKLKHMNMTREEIRQQNKQKREQRMQDIAKVHKKKIRKVYSQQRDAKNVRDKIGFFRKPKDCVADESGNDKCEDKEISVPKFDAFVDALKDND

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

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