Basic Information

Gene Symbol
Znf711
Assembly
GCA_961405105.1
Location
OY560205.1:509312-511485[+]

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 0.00019 0.012 16.5 0.3 1 23 128 150 128 150 0.98
2 11 0.00028 0.018 15.9 0.2 2 23 157 179 156 179 0.91
3 11 0.00026 0.017 16.0 1.9 2 23 186 207 186 207 0.97
4 11 2.4e-06 0.00016 22.4 3.4 1 23 213 235 213 235 0.98
5 11 0.0024 0.15 13.0 0.0 1 23 241 263 241 263 0.96
6 11 0.29 19 6.4 0.8 5 20 272 287 269 290 0.92
7 11 0.0021 0.13 13.2 0.2 3 21 315 333 314 336 0.93
8 11 0.00022 0.014 16.2 1.4 1 23 342 364 342 364 0.97
9 11 0.01 0.67 11.0 0.3 3 23 374 394 373 394 0.98
10 11 0.012 0.76 10.8 0.0 5 23 402 420 400 420 0.95
11 11 0.01 0.68 11.0 0.2 6 23 430 447 429 447 0.99

Sequence Information

Coding Sequence
ATGGCATCTGTCCGGTCGGAACGTTTCAGTGATCGTCGATCGTCCGCGGAGCCGCCGGCGTTCAACGAAGCGGACTCGCCCGACAACGATACAGATGACGACTCGGAGTCGGCCCCTCTGGCCGAGCTGGTGTCCGCCGACCCGCTGGCCGCCCTGCGCACCGCGCTCAGACACCTGAGAGACCACTACGCGGAGCGTCACCTGCGCTACCGTCCCTCGTCCGGATCCGAGACCGTGGAGGAGAGCGACCCGCGCGAAACCGACCTCGACCCGGAGAGCTACGACGACCTCACGTGCCGGAACATGCGCCGCGACCGCTTCGACGAGCCGACGCGGCGGGCGCTGCACGCGGCGCGCGTCCGCGTCGACGGACGCACGCGCTACGCCTGCCCCGAATGCGGGCGTCGCCTCGCCTCGCCGCACGCCTTCGTGCACCACGCCCGGATACACACGGGCGAGCGCCCGCAGGTGTGCCACGTCTGCGGGAAGCGGTTCCGCGCGCCGCAGGGGCTCGCGCGGCACGTCGCGGAGACGCACGAGCTGCGGCGGCGGCGCTCCTGCCACCTGTGCGCGCGCACCTTCGCCAACGACCAGAATCTGAAGCAGCACCTGCGGATCCACACGGGCGAGCGTCCGCACCAGTGCAACGAGTGCGGGCGGAGGTTCGCGCAGAGCGGGGCGCTGCACTCGCACCGGCGGACGCACTCCGCGGTCCGCGAGTTCGCGTGCGCGGAGTGCGGCGCCGCGTTCCGGCTGCGCGCGGGGCTCGCGCGTCACGCGCTGCGGCACTCCGGCTCGCGGCCGCACCGCTGCGGCTGCGGACGCTCGTTCGCGGCGCGGCACGAGCTGCTCGCGCACCTGCCGCTGCACGGGGAGCGGGCGCCGCACGAGGACGACGCCGACGTAGGGGAGCCCCGCGGCGCGGAGCGGGCGCGGCGCAGCTGCGCGACGTGCGGCCGCGTGCTGTCGGACGCGGCGAACCTCGCGCGGCACGTGCGCTGCGTGCACGCGGAGACGCGGGCGCACGTGTGCCGCGTGTGCGCGCGCGGCTTCTCCCGCGCGGACCACCTGCGCGAGCACGCGCGGCTGCACGGGACGGGGGCGGAGGCGGGATGGCTGTGCGAGCGGTGCGGAGCGTCGCTGCGGTCGAGCGCGGCGTGGAGGTCGCACCGGCGGTCGCACGCGTCGGCGCGGCACGCGTGCGGCTGCGGCGCGGTGTTCCGGCGTCGCGGGGAGCTGGTGGCGCACGCGTCGGTGCACGCGGGGCTGCGTCCGCACGCCTGCGCCTGCGGACGCGCCTTCCGTCTGCGCGCGCAGCTCAACATGCACGCGCGCAGGCACGCAGCCCGCGGGGACCCGCCCCCGCTCGCGCCCGGCGGCACCGAAGAAGACGCTCTTCTCGTAGAGGAAACGATTCCCGAGGCCCGACTCCTGAACTTTCCCTATTTTGCATTTAGTCACACGCTACACTTCGTGGACCTGATGGACTCGTCCGACGAAGACGACCCGGGCCCGGGCGCTGCGCCCCCTCCCCCGCCCTCGCCCCCGTCCTACCCCGACGCGGTACACAACCAAATAGTGAACCTCTACGTATTAGGCTCATGGGCGACGTAA
Protein Sequence
MASVRSERFSDRRSSAEPPAFNEADSPDNDTDDDSESAPLAELVSADPLAALRTALRHLRDHYAERHLRYRPSSGSETVEESDPRETDLDPESYDDLTCRNMRRDRFDEPTRRALHAARVRVDGRTRYACPECGRRLASPHAFVHHARIHTGERPQVCHVCGKRFRAPQGLARHVAETHELRRRRSCHLCARTFANDQNLKQHLRIHTGERPHQCNECGRRFAQSGALHSHRRTHSAVREFACAECGAAFRLRAGLARHALRHSGSRPHRCGCGRSFAARHELLAHLPLHGERAPHEDDADVGEPRGAERARRSCATCGRVLSDAANLARHVRCVHAETRAHVCRVCARGFSRADHLREHARLHGTGAEAGWLCERCGASLRSSAAWRSHRRSHASARHACGCGAVFRRRGELVAHASVHAGLRPHACACGRAFRLRAQLNMHARRHAARGDPPPLAPGGTEEDALLVEETIPEARLLNFPYFAFSHTLHFVDLMDSSDEDDPGPGAAPPPPPSPPSYPDAVHNQIVNLYVLGSWAT

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

100% Identity
-
90% Identity
-
80% Identity
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