Basic Information

Gene Symbol
znf711
Assembly
GCA_951804985.1
Location
OX638130.1:11230890-11233263[-]

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 9 1 1.4e+02 4.3 0.1 6 23 301 318 301 318 0.97
2 9 4.5e-05 0.0059 18.0 2.7 1 23 324 347 324 347 0.94
3 9 6e-07 7.9e-05 23.9 0.3 1 23 355 377 355 377 0.98
4 9 2.2e-06 0.00029 22.1 1.0 1 23 383 406 383 406 0.98
5 9 0.023 3 9.5 3.1 1 23 412 434 412 434 0.94
6 9 5.9 7.8e+02 1.9 1.5 10 23 451 464 442 464 0.79
7 9 0.00022 0.029 15.8 1.0 2 23 470 492 469 492 0.96
8 9 1.3e-05 0.0017 19.7 3.8 1 23 498 520 498 520 0.98
9 9 9.5e-07 0.00013 23.2 2.0 1 23 526 549 526 549 0.98

Sequence Information

Coding Sequence
ATGGTTTGTCGCCTGTGTTTGGCAAATGTTAATGTGGAAAATCGTGTAACACTTTTCAATACAGTGGAACAGAATGGCGAATcagaaattgttaaattaatagcaaaatatttttatttggagaTAACGCAGCAAGATGCCATCTCGACAACCATTTGCCAGGAGTGCTGCAATCATCTGCAAGAGTTCAATACATTCTGTCAGTATGTGGAAAGACAGCAGGGCATGCTGCACAATGAGTTTCTTGAGGTGAAATGCGATGCGGATTCAAATGCACCAAACGCATTGGACAATGATGAGAATGATGTTGCCGACAATCAACAGGATGCACTGAGTGAATTGAAAGATGTGTTGATGACAGACTATACGGTGCAGCTGGAGGAGCAGCCCATAGCAGACCAAACGAAAAGCGACACAGATGAACGCAATGTGTTCGATGACAAAGTGGCATCAGGCGAGAGTGACGAGGACCGTTTTGCTGAAGACGACAATTGTGATGACGATGATGGCACAGATGATGACATTCCATTGCAGAAGCTGCTGACAAAATCGGTAAAAACTGCACGAAAACCGCGTAAATGtaaaaacattaaatcaaaGTCCGCGGACAATAGTACAAAGAATACCACAACATCAGGCGATGAGGAGTCCTGCAATGAGCTTGCTGTTACAAAACGCAAAACACGTAAATcgacaaaattaaaaaccaccACGGATGCAAGCACAGCCACGCCTAGAAAATATAAACGTATTAATGGCTTGGAATCACATGAAGTTGATGAATTTATTGCCAAACACATGCAACTCAAATGTGAGCTGTGTGAAACATTGTTTGAGAAATTTGCTGATATGCGTCCACATTTCAAGGAACAACACGATTGCCGCTCGTACATTATGTGCTGTGGCAATCGTTTTATACTGCGCAAGGATCTCTATGATCACATCAATTGGCATCTAAATCCAGAATTCTTTAAatGCGAACATTGCGGCAAAGTACTTAAAAACCGTTACAGCCTCAATGTGCACAACATGAACAAGCATCTGAAGCAGGAGGACCTAATCTACAATTGCGATATCTGCAGCAAAGGTTTTGCGCGTCCATCGCTCTTAACCAAACATATAATGTATCATCAGGCCAAGAAGACCTTTACTTGTGATATTTGTACTAAGAGCTTCATACTCAAACAGAGCCTTGAAAAGCATATACGTTCAATGCACGAGAACATTTACGAGCACATTTGCGATGTGTGcggcaaaaaattcaaatgtaaaccGTCATTTGAGACACATGTCCTAGAGCATCAAGGCATCATTGAGCCGCCGATGCAGTGTCAGGTATGCCTTGGCTGGCTCAAGAATAAACATCGTTTGCGTCTGCACATGGCAACGCACAATAATATCGATGTTAAGTGCAAATATTGCGGACGCATTTGTCCCACTCAGCGTGCTTTGCGTGGTCACATACAGTATATGCACCGCAGGCCGCCCAGTCATCAGTGCAAATACTGTCAGAAGTTTTTTAAAACCGCAACGAGTCTaaaggaGCATGTCGCCACCCACACTGGCGAGAATCTGTACACTTGTCCGCATTGTGGTCGCGAATTTCGTTCAAAGGCAAATATGTACGTCCATATTAAACGACAGCATCAACAGGAATGGTTGGCCGCACAGCTGGCGCGTCCTTCAAAAGCGCCGCCAAATgttgaaaatactttttaa
Protein Sequence
MVCRLCLANVNVENRVTLFNTVEQNGESEIVKLIAKYFYLEITQQDAISTTICQECCNHLQEFNTFCQYVERQQGMLHNEFLEVKCDADSNAPNALDNDENDVADNQQDALSELKDVLMTDYTVQLEEQPIADQTKSDTDERNVFDDKVASGESDEDRFAEDDNCDDDDGTDDDIPLQKLLTKSVKTARKPRKCKNIKSKSADNSTKNTTTSGDEESCNELAVTKRKTRKSTKLKTTTDASTATPRKYKRINGLESHEVDEFIAKHMQLKCELCETLFEKFADMRPHFKEQHDCRSYIMCCGNRFILRKDLYDHINWHLNPEFFKCEHCGKVLKNRYSLNVHNMNKHLKQEDLIYNCDICSKGFARPSLLTKHIMYHQAKKTFTCDICTKSFILKQSLEKHIRSMHENIYEHICDVCGKKFKCKPSFETHVLEHQGIIEPPMQCQVCLGWLKNKHRLRLHMATHNNIDVKCKYCGRICPTQRALRGHIQYMHRRPPSHQCKYCQKFFKTATSLKEHVATHTGENLYTCPHCGREFRSKANMYVHIKRQHQQEWLAAQLARPSKAPPNVENTF

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

100% Identity
-
90% Identity
-
80% Identity
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