Basic Information

Gene Symbol
-
Assembly
GCA_963457695.1
Location
OY735249.1:24976008-24978078[-]

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 10 0.0074 0.68 11.0 0.5 1 20 216 235 216 239 0.93
2 10 0.021 2 9.5 0.1 2 23 246 268 245 268 0.92
3 10 6.6 6.1e+02 1.7 2.7 2 19 273 289 272 294 0.70
4 10 2.3e-07 2.2e-05 25.1 2.1 1 23 300 322 300 322 0.97
5 10 8.9e-07 8.2e-05 23.3 0.2 3 23 334 354 332 354 0.96
6 10 3.4e-05 0.0032 18.3 1.3 1 23 361 383 361 383 0.98
7 10 9.2e-08 8.5e-06 26.4 0.4 2 23 389 410 388 410 0.97
8 10 2.8e-05 0.0025 18.6 2.7 1 20 416 435 416 438 0.93
9 10 0.0025 0.23 12.4 1.6 2 23 444 465 443 465 0.93
10 10 0.0007 0.065 14.2 1.1 1 23 470 493 470 493 0.98

Sequence Information

Coding Sequence
ATGTCTTGCACTTTGCCGATCTGTATAGTATGTCTGAGTACTTCACTGGAATATATTGATCTCGAGACTCCGTTCGATGCTGGacaaaatgaagaagaagtGAAGGTGATCGAGTTGTCTGCCGTGGAGAAAGCACTGACATACTTGGATTGCTTTCGGGTGTGCACACGTTTGGAGCCACTGGGCAATACTCTGAATGTACCACATAGTTTGTGTGCTGCTTGCGGCCTGGATCTAAAAGTCGCGTACAATTTTCTTCGAAGAGCAGAGAGAGCTGATAAACTCCTCTGTGAAGCCGCACAGAAATCTAAATTAGATATAAATGCTGAAGTGATTGATGTCGAAGATGTGGGGGAGGACTGTTCTTACGAGATTCGGAATTCAGAAGAGGAACGAGAAAAACAAGTTTTGTTCTATGAAAATGACGTGATTCATCCCAGTTTGGGGTCATTAAAAGAGGTCGATGGTGATGAAGAATTAGAGCTGCTCGACCTGGACGAGGTTTACGCTTCCGAACACGACGAATCCGAGCAATATGAACCGACTCAAGATTCTTATTTGGTTGCGAAAACAGAAGAAGACACGGAGGTCAGTCAATATGATTCTGGTTTGACTTGTACCTCAGATATTAAGCCCGCTACTGTCTTCAATTGTGCCTCCTGTACTCGTTCGTTTGATAATCGCCGTGCACTTATGCAGCATCAGTGGCGAGTTCACAAGCGCCCCAAAGGCATTACCTGCAAGATCTGCCAACAAACTATTAAGGACAATGAGACGATGCGGGAACACCTGGAAGGCGTGCACTCGCACACGGTGCAGTGCGGAAAATGTGACTACAAATGCAAGCAGTTAAAGCTAGTTGATCACGAACACACAGTGCATGCGGAGCAGCAAGATTTCTTCTGTAACATTTGCTCAAAAACCTTCACGTCCAGCAGTATGCTCAATGCGCATATGAAGTATCACCAGCGGAAGGAAGCGAATGTTAAATCAGATGCCTGTAGTATATGTGGAAAGCAGTTCTCCACGCAGTATTATCTTATGCAACATATGGTGGTACATCGCGAAGAACGAGCTGTGCACCAATGCCCTCAATGTGAAAAGGTGTACATGACAAAGACAGCCCTGGACACGCATTTGCGCATGCACAGCGGGGATACGAAGCAGTGTCCCGAGTGCGGTAAACGTTTCGCTCGCCCCTATGAGTTGAAAGTACATTTACGTTTCCACAACCGCACCTACCCATTTACATGTGAGGTGTGCGGCAAATGCTTCGCTATAAAGGGACACCTACGCACACATATGTGGCGACATCAGGGACTGAAGCTGCAATGCGAAGAATGTGGGAAATTGTTTACCTCAACAAAGGCGTTGCATGAGCATTCTTTCTCGCACACAGCAATGCCCTTCCCGTGTACTTACTGCGTTAAGGGATACCCTTCGAAGCAAAAgtacaaaatgcatttgaagACAGTACACATGGTTGATCTGGATGAGAACGAGCTGCAGAAAATATCGCGAAATGCGGCGCCCAAGCCACTTCAACGAAAAAAGCTCACACTTGTGCAGGCTGATAGCGTTATGAAGGAAGTGATAGTGAAGAGTAAGGAGGCAGACGAGGGCGATGACCTattgatttattga
Protein Sequence
MSCTLPICIVCLSTSLEYIDLETPFDAGQNEEEVKVIELSAVEKALTYLDCFRVCTRLEPLGNTLNVPHSLCAACGLDLKVAYNFLRRAERADKLLCEAAQKSKLDINAEVIDVEDVGEDCSYEIRNSEEEREKQVLFYENDVIHPSLGSLKEVDGDEELELLDLDEVYASEHDESEQYEPTQDSYLVAKTEEDTEVSQYDSGLTCTSDIKPATVFNCASCTRSFDNRRALMQHQWRVHKRPKGITCKICQQTIKDNETMREHLEGVHSHTVQCGKCDYKCKQLKLVDHEHTVHAEQQDFFCNICSKTFTSSSMLNAHMKYHQRKEANVKSDACSICGKQFSTQYYLMQHMVVHREERAVHQCPQCEKVYMTKTALDTHLRMHSGDTKQCPECGKRFARPYELKVHLRFHNRTYPFTCEVCGKCFAIKGHLRTHMWRHQGLKLQCEECGKLFTSTKALHEHSFSHTAMPFPCTYCVKGYPSKQKYKMHLKTVHMVDLDENELQKISRNAAPKPLQRKKLTLVQADSVMKEVIVKSKEADEGDDLLIY

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

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