Basic Information

Gene Symbol
-
Assembly
GCA_905116875.1
Location
CAJHNJ020000246.1:11140794-11143647[-]

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 0.03 2.3 9.5 0.4 2 23 30 51 29 52 0.94
2 13 0.011 0.82 10.9 0.2 1 23 79 101 79 101 0.96
3 13 0.0058 0.44 11.8 0.2 1 23 127 149 127 149 0.97
4 13 1.1 86 4.6 1.9 5 23 157 176 154 176 0.91
5 13 7.3e-06 0.00056 20.9 2.6 1 23 229 252 229 252 0.97
6 13 2.1e-05 0.0016 19.4 0.1 1 23 273 295 273 295 0.99
7 13 3.7e-06 0.00028 21.8 3.2 1 23 301 323 301 323 0.98
8 13 4.6e-06 0.00035 21.5 0.6 1 23 329 351 329 351 0.98
9 13 5.2e-08 4e-06 27.7 0.1 1 23 357 379 357 379 0.99
10 13 9.8e-05 0.0075 17.3 3.1 1 23 385 407 385 407 0.98
11 13 0.00011 0.0086 17.2 1.2 1 23 413 436 413 436 0.93
12 13 0.00039 0.03 15.5 4.2 1 23 442 465 442 465 0.97
13 13 1.8 1.4e+02 3.9 4.3 2 23 472 490 472 491 0.92

Sequence Information

Coding Sequence
ATGAACGACAAATCTTTTCTACTTGACTGCAGCAATATCTTGACTATGGAGCTGCAGCTGTCAGTGTTCCTGGAGGACCGTGTGGTCCAGTGCGCGGAGTGCCCGCAGGCGTTCCTCTCGCGGCGCGCGCTGAGGCAGCACGAGGACACTCACCATGCCGACTGGGACTACGTCAAAATGTTTTCTCGCATGATTAAATACCAAGCAGCAGTGGTACTGGAGAGAGACCAAATATATGAGTGTCCAGATTGTACCCGAGGCTTCTTGAGCAATAGGGAGTACCAACTACATGTGTTGGAGCATGAAAGGAAGAAAGCCATGTGGCGTCATAAGCAGCTTGCAGAAACAGACGACCCCAACGACCGGTACCGCAAGATATTCAGCTGCGACCAGTGCGAGGAGCGCTTCGTGTTGTACAGCACGCTGGTGGCTCACTCCGACACGCACCGGCCCGCGCCGCACGCCTGCCACTGCGGGGTGGCCTACTACCAACAACACGACCTTGTGGAACACAACAAACTAGTGCACAACATACACCCCCCAGAGGAAGACAAGCCACAAGTACGCAAGTACAAAAACGAAATCAAGTACGACAAAGAAGAGGACGTTGATGAAGAAGACGAATGGCAAGAACAGAAACCAAAGAAGAGGATGTACTGGAAACTCAAATGGGCAAAGATGAAGCACGAGTGTCCAGAGTGTGAGGACATATTCACCAACAAGAAACACCTGCAGCAACACATGAGGACCGCACACAACCGCAAGATCGCAAGACCGCAAGTGCCGAGGGTAAAAGTGAAAGCCGCTAAAAAGGACTTTCAGTGTGAAATCTGCAATAAAACAATAGCAAGTCAGACGGGACTGATTGTTCATCTACGCGTTCACACTGGCGAGAAACCATACAAGTGTGACGACTGCGGAAAGTGTTTCTCTCAAATCAATACTCTCAAAGTACACAAATTGCGACACACCAACCTCAGGGAATTCCCCTGCAGTTTCTGCGACAAAGCTTTCTTCACCAAAGGGGATCTGAATCTACACGCGAGGACTCACACTAAAGAGAAGCCGTATGTGTGCACTGTTTGTAATAAAGGATTTTCGGACCCGAGTGCGTTCGCGCGGCACATGCGAGTGCACACCGGGGACCGCCGCTACAAGTGCCCGTACTGCCCCAAGGCGTTCACCGACTCTAGCCAGCACTACTACCACGTGCGACGCCACACCAACCACAGACCACACGAGTGTGAAATATGCGAAAAGAAATTCTTCTCTCTAAGTAACTTGACATTGCACGTAACAAACGTGCATGCTGGAGTGAGAAAGTTTGTATGCGATCATTGCAAAGGCACGTTCAAATCGAAACATGACCTTCTCCTGCACATACAGAGGACCCATCTCAAGCGGCGCTTGGAGCGCTGCAAACAGTGTAAACGCGAGTTTTTGGACTTAAAACTACATATGAGGGTACACCACAAGATAAGGAAACTTCCTGGTGTAAGACGAGTTTCGCAATCTGAAATTGAAATATAA
Protein Sequence
MNDKSFLLDCSNILTMELQLSVFLEDRVVQCAECPQAFLSRRALRQHEDTHHADWDYVKMFSRMIKYQAAVVLERDQIYECPDCTRGFLSNREYQLHVLEHERKKAMWRHKQLAETDDPNDRYRKIFSCDQCEERFVLYSTLVAHSDTHRPAPHACHCGVAYYQQHDLVEHNKLVHNIHPPEEDKPQVRKYKNEIKYDKEEDVDEEDEWQEQKPKKRMYWKLKWAKMKHECPECEDIFTNKKHLQQHMRTAHNRKIARPQVPRVKVKAAKKDFQCEICNKTIASQTGLIVHLRVHTGEKPYKCDDCGKCFSQINTLKVHKLRHTNLREFPCSFCDKAFFTKGDLNLHARTHTKEKPYVCTVCNKGFSDPSAFARHMRVHTGDRRYKCPYCPKAFTDSSQHYYHVRRHTNHRPHECEICEKKFFSLSNLTLHVTNVHAGVRKFVCDHCKGTFKSKHDLLLHIQRTHLKRRLERCKQCKREFLDLKLHMRVHHKIRKLPGVRRVSQSEIEI

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

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