Basic Information

Gene Symbol
znf711
Assembly
GCA_030269945.2
Location
AP028278.1:608719-610317[-]

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 0.00086 0.071 14.2 1.3 2 23 163 185 162 185 0.95
2 12 0.029 2.5 9.4 0.0 2 23 209 230 208 230 0.94
3 12 8.6e-07 7.2e-05 23.7 2.2 1 23 236 259 236 259 0.98
4 12 0.00014 0.012 16.7 0.4 2 23 267 288 266 288 0.97
5 12 0.002 0.17 13.0 1.8 1 23 294 317 294 317 0.96
6 12 0.015 1.2 10.3 4.5 2 21 324 343 323 345 0.93
7 12 0.001 0.086 14.0 4.6 1 23 351 373 351 373 0.97
8 12 1.1e-05 0.0009 20.2 0.5 1 23 379 402 379 402 0.97
9 12 1.3 1e+02 4.3 0.7 2 13 408 419 408 426 0.75
10 12 0.0067 0.56 11.4 2.9 1 23 432 455 432 455 0.93
11 12 0.5 41 5.5 2.7 1 23 461 485 461 486 0.95
12 12 1.1e-06 8.8e-05 23.4 0.9 2 23 493 515 492 515 0.94

Sequence Information

Coding Sequence
ATGGATTCAAAGATTTGCCGTTTATGTCTCATAGAACCGGGGACTATCTGTTTATTTAATAATCACGATGATAATGTATTATATTGCAACAAAGTAATGCACTGTGTACATATAAACATCGCGGAAGGAGACGGCTTTCCTGATTCCATGTGCGTTGATTGTTTAACCAAGTTATCTGTTGCCTACGACTTCATCAACAAGGCGCAAGAGTCGGACCGGACTTTACGATCTTTGTCCTTCGATTGCAAACCAAAAATAGAAGACCAGGATCTTAAAACAGAATCAGAGGAGATTAAAGAAGAAGAGAATAGAGAGGATAATTATTATGAAGTTGAGTTTGAATCGCACAGTGATGTTGCAGAAGAACCCAAGAAGTCAAAATCTCGGGGTAAAGGCCCTAAAACCTGCTCAATATGCGGTCATCGAGCTCGGTGTCACAAATCCTATGAACTACACATGCGGGCTCATTTCAAAGTCAAATTATCTAAATGTGACATTTGCTTTAAACGATTATCAGATAAATATGCTTTAAGAAACCACAAGGAAAAACTTCATGGTGTGCAAGTAGttcgaaaatttaaaaagaaggtagtagaaaaagaaaaatcaaCTAAAGGCCCTTTACAATGTGTAGTTTGTGGACAGATACTGCAATCACAGAGTGCTCTGGAAAATCATAATACAATTCACACTGGAGAGAGACCATTCCAATGTGATACTTGCAACAAAACCTTTAGAATAAAGAGTTATTTACAGCGTCATATTGAAACAAACCATCTAAAGAGATCTAGGACTGTGACTTGTGAAACTTGCGGTAGCAGCTTCTATAAAAAATCAGATATAGTGGTCCACATGCGTTCTCACACTAAAGAGAAACCATTTGAATGTGAATTGTGTCTAGCAAAGTTTTCTCAGATCTCTTCATTGATTCGACACAGAAAACATACACATGCAGGGGAGAGGACATGCCCCTGTCCCATTTGCAATAAACTTTTTTTCGATAAGCAATCTGTAAAGAGACACATGTTGTGCCACTCTGATAAGAAACAACACAAATGTCACTTATGTGACAAACTATTTAAGACTAAATCAGCCCGTAACGTGCACATATCTCTACATTCCAATGAGACTCAATTCATATGCAGTTTTTGCGGTATGATATTTAACGTAAAAGGTAATCTAAAGGCTCATATTAAGAGAAAACACTCTGGAAATGCCGGTGAATGCAAGTTTTGTAAGAAAGAGTTCCCCAATTTGGCTGAACATGAACTCAAGCATACAGGAGAGACTCCATTTGTCTGTCAACTATGTAACAAAGgtttttttaagaaaagaaGCCTCTCGTACCACATATCATTCAAACATGAAAAAGCTAATAAGTTCAGATGCACAATAGACCAATGTACTAAGGGGTTTCCCATGATGCATTTGCTCGATGATCATTTATACAGACACCATTCTGATACATTGCCTTTGGTTTGTAGTTACTGTCCTCGAAGGTTCTCCCGGAAGTCTGATGTAACCAGGCACATGAAGGGAAGCCATTTGAATAAGGTCAAAGAGAAACCAAACCCTGTATTGACTGCAGTCAATGTttga
Protein Sequence
MDSKICRLCLIEPGTICLFNNHDDNVLYCNKVMHCVHINIAEGDGFPDSMCVDCLTKLSVAYDFINKAQESDRTLRSLSFDCKPKIEDQDLKTESEEIKEEENREDNYYEVEFESHSDVAEEPKKSKSRGKGPKTCSICGHRARCHKSYELHMRAHFKVKLSKCDICFKRLSDKYALRNHKEKLHGVQVVRKFKKKVVEKEKSTKGPLQCVVCGQILQSQSALENHNTIHTGERPFQCDTCNKTFRIKSYLQRHIETNHLKRSRTVTCETCGSSFYKKSDIVVHMRSHTKEKPFECELCLAKFSQISSLIRHRKHTHAGERTCPCPICNKLFFDKQSVKRHMLCHSDKKQHKCHLCDKLFKTKSARNVHISLHSNETQFICSFCGMIFNVKGNLKAHIKRKHSGNAGECKFCKKEFPNLAEHELKHTGETPFVCQLCNKGFFKKRSLSYHISFKHEKANKFRCTIDQCTKGFPMMHLLDDHLYRHHSDTLPLVCSYCPRRFSRKSDVTRHMKGSHLNKVKEKPNPVLTAVNV

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

100% Identity
-
90% Identity
-
80% Identity
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