Basic Information

Gene Symbol
-
Assembly
GCA_035222095.1
Location
JAWWEA010000001.1:1693145-1712950[-]

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 0.092 28 7.6 0.7 6 21 12 27 7 28 0.88
2 13 5.5 1.7e+03 2.0 0.0 2 20 34 52 33 54 0.88
3 13 0.58 1.8e+02 5.1 2.1 1 21 105 125 105 126 0.94
4 13 8.6e-06 0.0026 20.3 0.8 2 23 131 152 130 152 0.97
5 13 1.9e-05 0.0058 19.2 1.5 1 23 163 185 163 185 0.98
6 13 0.00037 0.11 15.1 0.9 1 23 204 225 204 225 0.93
7 13 0.00023 0.071 15.8 0.1 2 23 231 252 230 252 0.95
8 13 3.6e-05 0.011 18.3 4.8 1 23 296 318 296 318 0.99
9 13 1.6e-06 0.00047 22.6 3.7 1 23 324 346 324 346 0.96
10 13 0.00018 0.055 16.1 4.1 1 23 352 374 352 374 0.97
11 13 1.1e-06 0.00033 23.1 0.8 1 23 380 402 380 402 0.98
12 13 0.00016 0.049 16.3 0.4 1 23 406 428 406 428 0.98
13 13 0.0003 0.09 15.4 0.2 1 23 436 458 436 458 0.97

Sequence Information

Coding Sequence
ATGGGGTCGCTGAATTTGGATTGTCCGTTGTGTTGTGGAGAGACTTTTCACAATCCGCAGTCGCTGAAATATCATTTGCTTAGCATGACTGACAATTTGTATTGTCCGGGATGTGCAGAAAGATTGGATTCTGTTTTGGCTTTAATTCGACATCTGGATTCTTGTGGACAGTCGAGTGATTTGGAGAAGAAGGAAGCGAAATCCAAACCGAAGAAGGGGAAAGGGGGCAGTTCAAAACCCGTCGAGGTTTTggtgGTCAGGGAGAAAAAAGAAACGCCAACTGCAGCATCAGTACCAGCACCAAACCGGGTTTATCGTTGCAGTCAGTGCATGGAACAATTTCCGAAGTTATCCGAATTTCGATTGCACACCTGTAATCGGGGCAGCAAGAGTTGTCATGTTTGCGATTTGACTTTCGTCAACGCGAAGGCATTGCAAGTTCACATGAAACTTCACGAGAATGAAGATGGTGATCAGCCGAGATCCTTTGTTTGTGGTATTTGTGGAACCGAATTTTCATCCCATAAGAGTCTACGACTGCATTCACGAATGCACGCGCCCGTTCGAGCGAGACACGTCGACGCACCTGAGGGAACGCAAAATTTGACCTTCAATTGCCACGAGTGCGGAAAAACATTTTCGGAATCCTATCGAGCGGTTCACATGGCTGTTCATACTGGTGATTCGGTGACTTGTTCGGTTTGCAACCGAAAATTCGATTCTGCGGATAGTTTGACGATGCATGCGGCGGTTCATATGGAAACGAATCATTCGCAATCGCCAAATTCGACTGCCGAGTCGGTGACGACTGCCACTTCCACGGGATCGACGACAACGAATACGGTGACGGTAGCTGAATCGGAGGCACTTCAGAACCAAAAACGTTATCAGTGCCAACATTGCGGGAGAAGATTTACGAGGCCGCATGAAAAAGTCAAACATGAGAGGATTCACACGGGTGAAAAACCTCACGCCTGCGAGGTCTGTGGAAAGACTTTCCGAGTATCCTACTGTCTGACTCTTCACATGAGAACTCACACCGGCGTTCGTCCCTACGCCTGTCAACACTGTGGAAAACGCTTCAAAGCCTCGTCAGTTTACAATCATCATCTTCTCACGCACGGGGATGTGCGAGCCTACACTTGTCCCTATTGTCCCAAAACCTTCAAAACCCGGGTTCAACTCGCGGGACACAAAAATAGCCATACGAAACCCTTCCACTGCACCGAATGTTCGCGACCTTTTGCATCTCTTTATGCAGTTCGGGCGCATATCGAGACCCACAAAAAAGACAACAATCTCAAGTTCAGTTGCTACATTTGTGGAGCTTCTTATGGAAGGGCCTTTGCCCTTAAGGATCATTTAAAGCAACACGGGACAGATGCCCAACAAACGCCGGAACCTTCGCGGGAGGAAGAGGTTCAGGAAGGGGAGGAATTTGTTCTCGCTGAAGAGGGAGAAATCGAGGAAGAGGAAATGGTAATTCCCTCTCCTCTTCCTGTTCAGCAGTCTTCGGGAGCTGAGTCAGAGTAG
Protein Sequence
MGSLNLDCPLCCGETFHNPQSLKYHLLSMTDNLYCPGCAERLDSVLALIRHLDSCGQSSDLEKKEAKSKPKKGKGGSSKPVEVLVVREKKETPTAASVPAPNRVYRCSQCMEQFPKLSEFRLHTCNRGSKSCHVCDLTFVNAKALQVHMKLHENEDGDQPRSFVCGICGTEFSSHKSLRLHSRMHAPVRARHVDAPEGTQNLTFNCHECGKTFSESYRAVHMAVHTGDSVTCSVCNRKFDSADSLTMHAAVHMETNHSQSPNSTAESVTTATSTGSTTTNTVTVAESEALQNQKRYQCQHCGRRFTRPHEKVKHERIHTGEKPHACEVCGKTFRVSYCLTLHMRTHTGVRPYACQHCGKRFKASSVYNHHLLTHGDVRAYTCPYCPKTFKTRVQLAGHKNSHTKPFHCTECSRPFASLYAVRAHIETHKKDNNLKFSCYICGASYGRAFALKDHLKQHGTDAQQTPEPSREEEVQEGEEFVLAEEGEIEEEEMVIPSPLPVQQSSGAESE

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

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