Basic Information

Gene Symbol
-
Assembly
GCA_963513935.1
Location
OY740767.1:20825740-20832958[-]

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 0.00018 0.06 16.1 0.3 1 23 164 186 164 186 0.96
2 12 0.00017 0.057 16.2 0.0 2 23 189 211 188 211 0.95
3 12 8.2e-06 0.0028 20.3 1.1 3 23 252 272 251 272 0.98
4 12 6.9e-05 0.023 17.4 0.4 1 23 278 300 278 300 0.97
5 12 0.00029 0.099 15.4 2.5 1 23 306 328 306 328 0.99
6 12 2.8e-06 0.00095 21.8 1.6 1 23 334 356 334 356 0.98
7 12 0.0012 0.41 13.5 1.7 1 23 362 384 362 384 0.96
8 12 5.4e-06 0.0018 20.9 1.5 1 23 392 414 392 414 0.98
9 12 0.0015 0.51 13.2 0.2 1 23 420 442 420 442 0.96
10 12 2.4e-05 0.008 18.9 1.7 1 23 448 470 448 470 0.98
11 12 4.2e-05 0.014 18.1 0.4 1 23 476 498 476 498 0.98
12 12 0.0031 1.1 12.2 3.7 1 23 504 526 504 526 0.98

Sequence Information

Coding Sequence
ATGGTTACAACTACAGTACTAAATAATGCTGTTCTTGTGGATTGTGTTAGTAGTCATATCGATCAGACCATAGAAATACCCATGACAACAATGACAACGTTAACTGATCAGATTACTCCAACAACTACAACATTATTAAACAGTGTTAAGACTTGTAATGAATCAATTAAATGTGAACCagatatacatataaaaattgaAGAAGTGTCATCGAACCCAATAGTCAATAATACCAACCATGTTGATTCAGAATCAGAGTCAGATTCAGAATCAGATAGCGGTTCTGATACTGATGATTCATCCGTTAATGATAATGATGGCATTGATAGCAATTCCTTAAATGATGGTCTGGAACATTCAGTGGATCATAATGGAGAAGAACAGTCAGATTTGATGACAAATGGACAAGATAAAATAGAAGGTATTACATTGAATAATGATGAATATCAAATCATACCAACATATCCATCAGATCAACAAAACTCCTGGTTCTTTTGCAATATATGTAGTAAGGCATTTGAGAATAGAGACGAGGTCCAAATGCATTacgaagttcattggaacaagtGCTCGTTATGTGGAGCTGTGTTTACAAATGAAGAAGCTCTTGCAGCGCATAGAAAGGAAATACACCCTCGTAAAGGTAAAACATCTCCGAAGGTGAAAAATGAGGAAGATGAGGATGAAAAGGATAAAGCAAAAAAGAGAAATgatcccaataaaaaaaaaataaatccaaGTGAAATGAAAGCTTGCGGAGAATGTGGAAAAgaatattgtacaaattataaacttgCTGAGCatatgagaaagcatactggtgAGAAGCCTTATAAGTGTATGACATGTGATAAAGCTTTTCGTTCTAAAATAGGTTTGGCACAACATGAAGCTAAACATACCGGTCAATACGATTATACTTGTAATTCTTGTGGTAAAGGGTTTCAGTGTAAATCATACCTAATAGTTCACCAACGTGTTCATAGTGATCTCAAACCATATCCATGCACAACATGTGGacgtaatttcaaaacaaaacaaagccTACTAGATCATCAAAATCGTCATCTCGGTGTAAAACCCTACCTGTGTGAGACTTGTGGGCGTGGTTTTATTACAAAAGGACTTTGTAAATCTCATCAACGAGTTCATTCAGGTACAGATAATCGTCAATATCCATGTACTGTTtgtcataaattatttgttagtAAATCGTATTTAGTTACTCATCTTCGTATTCATACCGGTGAAAAACCATTCATGTGTGAAGTTTGTGGAAAAGGTTTTCTTACAAGAGTAGATCTCCGTATTCATTCAACAATGCACACCGgtgaaaaaagttttgtttgtgaaACTTGTGGTAAAGCTTTTGCACGACGTGATGCTTTAAGATGTCATCGACGAAGTCATACAGGAGAACGACCGTACCGTTGTGATATTTGTGGGCAAAGTTTCACTCAGTTCTCACCAATGGCAATACATAAACGTTTACACACAGGAGAACGGCCCTATGCATGTGATATTTGTTGTAAAAGTTTTGTGTCACGTTCGACAATGATGTCACACAGGAAAAAACATACTAACTGA
Protein Sequence
MVTTTVLNNAVLVDCVSSHIDQTIEIPMTTMTTLTDQITPTTTTLLNSVKTCNESIKCEPDIHIKIEEVSSNPIVNNTNHVDSESESDSESDSGSDTDDSSVNDNDGIDSNSLNDGLEHSVDHNGEEQSDLMTNGQDKIEGITLNNDEYQIIPTYPSDQQNSWFFCNICSKAFENRDEVQMHYEVHWNKCSLCGAVFTNEEALAAHRKEIHPRKGKTSPKVKNEEDEDEKDKAKKRNDPNKKKINPSEMKACGECGKEYCTNYKLAEHMRKHTGEKPYKCMTCDKAFRSKIGLAQHEAKHTGQYDYTCNSCGKGFQCKSYLIVHQRVHSDLKPYPCTTCGRNFKTKQSLLDHQNRHLGVKPYLCETCGRGFITKGLCKSHQRVHSGTDNRQYPCTVCHKLFVSKSYLVTHLRIHTGEKPFMCEVCGKGFLTRVDLRIHSTMHTGEKSFVCETCGKAFARRDALRCHRRSHTGERPYRCDICGQSFTQFSPMAIHKRLHTGERPYACDICCKSFVSRSTMMSHRKKHTN

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

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