Basic Information

Gene Symbol
zbtb8a.2
Assembly
GCA_016920875.1
Location
JADMLL010000009.1:4012029-4013546[+]

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 0.0015 0.11 12.9 1.2 3 23 50 70 48 70 0.96
2 13 1.9e-06 0.00015 22.0 0.4 1 23 76 99 76 99 0.97
3 13 0.00021 0.016 15.6 0.2 1 23 106 128 106 128 0.98
4 13 0.0034 0.26 11.7 3.4 2 23 135 156 132 156 0.87
5 13 2.5e-05 0.0019 18.5 0.1 1 23 162 185 162 185 0.95
6 13 4.8e-08 3.7e-06 27.0 1.8 1 23 195 217 195 217 0.98
7 13 1.3e-05 0.001 19.3 3.1 1 23 223 245 223 245 0.98
8 13 2.2e-05 0.0017 18.6 0.6 1 23 251 273 251 273 0.97
9 13 0.048 3.7 8.1 2.0 1 23 279 301 279 301 0.96
10 13 0.0017 0.13 12.7 0.3 2 23 308 329 307 329 0.96
11 13 9.4e-08 7.2e-06 26.1 0.2 1 23 335 358 335 358 0.98
12 13 0.0001 0.008 16.5 2.9 1 23 368 390 368 390 0.99
13 13 5.9e-06 0.00045 20.4 0.9 3 23 398 418 397 418 0.98

Sequence Information

Coding Sequence
ATGCGAACAAGAAACCGTAAATATTCGAAGAATGTGGAAGATGTTAGCAAAGCTAACGACGAGGATTTTTTTACAGAGGAGCAAAACGACGAAAACGAATTGTTGGAGGATGGTTTAGCTAAGAAAGTATCAAAAGGCAAAATAATTTGTCACATTTGCGGAAAAGCTGAGAAGACTAGGAAAGTGTTAAAGCGTCACATGGTGAAGCATTCGGATGAGCGTCCTTATCCGTGTAGTCAATGTCCGAAACGGTTTAAGAGATCCTATGAGGTGACAGCTCACGTAAGAGTTATGCACGAAAAGCAGAGGAAGGATTTTGAATGTGAGGTGTGCGGCAATCAATATGCGATCAGATCCAAATTGGAAATACACATGAAACGACACAGGAAGGAATATAAGTGCACTTGTACCGAATGCGGAAAAGGTTTCTTTTCCGAATTCAAGCTCAAAGAACATTCCTATATTCACACGGGTGATAAGCCTTATCAGTGTGAGGTGTGCGGTCGTGCCTACGCTTATAAGACGGATCTTATAGCTCATAAGGCCTCTCAACACCCGGAGAAATGTGATCCATCCAATGTTCACACTTGTGAAAAATGTGGGAAAACCTTTTCCACGGCGAATGCACTTAAAGCTCACCAAAACACCCACAGCGGAGAAACCCTTTACCCGTGCACTATGTGTCCCAAAATGTGCACCTCAAAGAAATCGCTGAAGAGTCATATGGTTAAACACACATCCCTTCGTCCGTATCAGTGTGACGTTTGTAACAAGACTTTCAAACGACCTTTTGAAGTGGCCTTACACAAGAAAGCACACGATGCTGATAAGAAACACATATGCGAGCTGTGCGGATATTCTGCCTTAAGAAAACACTCTCTTGACATACACCTTCGGCGTCACAAGAAGGAATACAAAGTGACTTGCGAAACTTGCGGAAAGGGATTCTTCTCAGACTTCAAGCTTCGTGAGCACGCGAACATACACACGGGAGCGAAACCCTTTCAGTGCGACTTGTGCGGAAAACGTTACCCCTACAAGTGGAACCTGACTGCTCACATGCGAATCGTTCATCCGGAAACGTGTGACTTAGAAAAAAAGTATAAATGCGAATTATGTCCAAAGATGTTTGTGTGCAAGAGAACACTTCGGATTCATATGAGACTACACGAGATGAAAACTCCCATACTCTGCGAGATTTGCGGGAAATCATTTAGAAAAACGTCAACATTAGAAGTACATAAACAGAGTCACGCGACACCTGAGCCCAGACTAACAACTACAGAGCCGACGGTTGAGGCACCAGCAGTGGCGACGGTAGAGGGAGTGGCGCCGGTAGCGCCTGCGGGAGCAGTAGCACCGGTAGCGACCATGACAGCAGTGGGGCCTGTAGCGAATATGACTGCAGTGGCGCCAGTAGCAAACATGGCAGTAGCCCCGGTAGCGACCGTGGCGGCACTGATGCCAGTAGCTACTGTACAGGGTTTAGTCGAAACCATGCACATCTATTATTATTAA
Protein Sequence
MRTRNRKYSKNVEDVSKANDEDFFTEEQNDENELLEDGLAKKVSKGKIICHICGKAEKTRKVLKRHMVKHSDERPYPCSQCPKRFKRSYEVTAHVRVMHEKQRKDFECEVCGNQYAIRSKLEIHMKRHRKEYKCTCTECGKGFFSEFKLKEHSYIHTGDKPYQCEVCGRAYAYKTDLIAHKASQHPEKCDPSNVHTCEKCGKTFSTANALKAHQNTHSGETLYPCTMCPKMCTSKKSLKSHMVKHTSLRPYQCDVCNKTFKRPFEVALHKKAHDADKKHICELCGYSALRKHSLDIHLRRHKKEYKVTCETCGKGFFSDFKLREHANIHTGAKPFQCDLCGKRYPYKWNLTAHMRIVHPETCDLEKKYKCELCPKMFVCKRTLRIHMRLHEMKTPILCEICGKSFRKTSTLEVHKQSHATPEPRLTTTEPTVEAPAVATVEGVAPVAPAGAVAPVATMTAVGPVANMTAVAPVANMAVAPVATVAALMPVATVQGLVETMHIYYY

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

100% Identity
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90% Identity
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80% Identity
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