Basic Information

Gene Symbol
-
Assembly
GCA_006980735.1
Location
jcf7180002946156:61794-63759[-]

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 9.8e-07 6.6e-05 22.9 0.6 2 23 165 186 164 186 0.96
2 12 3.9e-07 2.6e-05 24.2 1.9 1 23 192 214 192 214 0.98
3 12 1.3e-06 8.7e-05 22.5 3.7 1 23 220 242 220 242 0.98
4 12 2.8e-05 0.0019 18.3 0.4 1 23 248 270 248 271 0.96
5 12 6.1e-06 0.00041 20.4 0.8 1 23 279 301 279 301 0.97
6 12 2e-06 0.00013 21.9 5.2 1 23 309 331 309 331 0.98
7 12 1e-07 6.8e-06 26.0 0.7 2 23 338 359 337 359 0.97
8 12 3.7e-05 0.0025 18.0 0.3 3 23 368 388 366 388 0.98
9 12 1.1e-05 0.00074 19.6 1.6 1 23 396 418 396 418 0.97
10 12 5.3e-05 0.0036 17.5 2.7 1 23 426 449 426 449 0.95
11 12 0.00057 0.038 14.2 0.2 3 23 459 480 458 480 0.96
12 12 5.8e-05 0.0039 17.4 1.0 2 23 486 507 486 507 0.94

Sequence Information

Coding Sequence
ATGACTGAGGCTGAAGTACTGCAGGCGGTTAACACCTTAAAATCTAGTGCCATGCCCGTCAGCATGATATCTAAAAATGATGAACTTCCTTCACACCTGTGCGGTCCTTGTGCGAAGCGCCTTAAAGTCTCGTATGAGTTTAAAAACCAAGCGATAGCATCCGACACACATTTGCGCTCGTTCATCAATTCAATCAACTCGAAATTTTCCTCTATAGCTGAGTCTCATAAAAGGGAAGTTAACACAAGCCTAGAGGACCTACAAGATCTCCTGCCTATAGAAGAAGTGACGAGTTTGATAAAGCAGGACACCAGTAATCTTGAAACCGCAGACGTAGGTCAATCAAGTCAAGAGGAATACTTGAATGAGGTTGATGACACCGACCCTATTGGAAGTGAAAGCAACGAAGTAGTTGAGGAATTCGAGGCATCCGACGAAAAGACGATATCCGTCAAAAGATTCGAAACACATGTACAGAACGACGAATCATTATATTGCGCCGAGTGCAACAAATACTTTTCCACAAAACCGAACCTTATGAGACACATTCTGACTCACTCCAAAGCGAGACCATTTCAATGCACGATTTGTGGATCGTGTTTCACTCAGAACGGTTCCCTGAAGCAGCACATGTTGATCCATACCGGTGAACGTCCACACAAATGCCGTGTGTGCGAAAAAACATTCACAAGGAAAACTATGCTAGCAATCCATATGAGACGGCATACAGGAGAAAAGCCGTACTCATGCACCGAATGCAATATGTCCTTCATAGTTAAAGGGGGATTGAGCAAACATATAGCCATTCATCATGAGGGCTCATCTCAAGAGGAATTTCCTTGCACGATCTGCGATAAGGTGCTGCGCTCCAAGTATTCTTTCAACATGCACATGAACCTGCACGATACCACCAGCAAGTCAAGCCACCAATGCACAATTTGTCTGAAATCCTTCTCCAGCAAATATAATTTGAAATATCATATGAAGAACCATGAGTCGAAGCAGAACTTAGTCTGCTCCATATGCGACAAAACGTTTAACTCCAAGTCAAATTTGAGATATCATCTAGCTACGCATGCCAAGGAAAAGGAGGAGTTTGGTTGTCCGGCATGCGATGAAAGTTTCACGAAGAAGTTTCAACTTTTGGCCCATCTGCAGACGCACGAAAACAAGCGCAATGTGAAATTTGCCTGTAGAAAATGCGACAAGAAGTTTACAATGAGGGAAAATTTGCTGGAACACTTGCGAAATCATGTGGACGATATCTCTCCTGTTTTTAGATGCACCCACTGTGATGTGGCATTCAGCGTGAAACGTAATTTAAAACTGCACCTGTCCAATTTCCATAAAGAGGAAGTACCGGATCTTAATAATTGCGACATTTGCAACATCCCCTTCGTAACGGTTGCCCACTTGAACGAGCATATAGCAAAGAAGCACGACGTTGTGGATGAAAAATGCAATGAGTGTGGAGAGAGCTTTACATCAAAGAAACTCTTCCAGGAGCATAGCATACTACATGACATAATAGACTTGAAAAAGCGTAAATAG
Protein Sequence
MTEAEVLQAVNTLKSSAMPVSMISKNDELPSHLCGPCAKRLKVSYEFKNQAIASDTHLRSFINSINSKFSSIAESHKREVNTSLEDLQDLLPIEEVTSLIKQDTSNLETADVGQSSQEEYLNEVDDTDPIGSESNEVVEEFEASDEKTISVKRFETHVQNDESLYCAECNKYFSTKPNLMRHILTHSKARPFQCTICGSCFTQNGSLKQHMLIHTGERPHKCRVCEKTFTRKTMLAIHMRRHTGEKPYSCTECNMSFIVKGGLSKHIAIHHEGSSQEEFPCTICDKVLRSKYSFNMHMNLHDTTSKSSHQCTICLKSFSSKYNLKYHMKNHESKQNLVCSICDKTFNSKSNLRYHLATHAKEKEEFGCPACDESFTKKFQLLAHLQTHENKRNVKFACRKCDKKFTMRENLLEHLRNHVDDISPVFRCTHCDVAFSVKRNLKLHLSNFHKEEVPDLNNCDICNIPFVTVAHLNEHIAKKHDVVDEKCNECGESFTSKKLFQEHSILHDIIDLKKRK

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

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