Basic Information

Gene Symbol
ACE2
Assembly
GCA_036924255.1
Location
JAUPFN010000028.1:12898349-12921360[+]

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 11 5.2e-05 0.0072 18.1 5.2 1 23 16 38 16 38 0.99
2 11 1.7e-06 0.00024 22.8 1.1 1 23 45 68 45 68 0.94
3 11 6.4e-05 0.0089 17.8 0.4 2 23 77 99 76 99 0.94
4 11 0.00066 0.091 14.6 0.9 2 23 106 127 103 127 0.92
5 11 2.8e-05 0.0039 18.9 0.7 1 23 133 157 133 157 0.97
6 11 4.6e-05 0.0063 18.3 3.6 3 23 165 185 164 185 0.97
7 11 0.0099 1.4 10.9 1.5 2 23 193 215 192 215 0.94
8 11 0.00036 0.051 15.4 0.2 1 23 221 244 221 244 0.97
9 11 0.013 1.8 10.6 1.1 2 20 251 269 251 271 0.96
10 11 2.8 3.9e+02 3.2 0.3 2 23 715 735 714 735 0.82
11 11 0.0032 0.44 12.5 3.4 1 23 857 879 857 879 0.98

Sequence Information

Coding Sequence
ATGGCGCCACAATTTTCTTTGTATTTGGTTCCAGACGCGAAGCCGTTCAAATGTACGTACTGCGAATACGCCTGCCGCGACAGCTCCACCCTGAGGAAACACCAGCAGAGGCACCAGGGCATCATCAGATACTACGAGTGCAGCACTTGTGGCAAATCTTTTAAAACGAAAAGGACGTTAAAAGAACACATCACAGAGATTCACTTGGAGATAGACTTGAAGACCACGCCGTGTGAAGAGTGCGGGAAGTTGTTCAAGTCGAAATCTTCTTTGGCCTCTCATAAAAACAATGTCCACAAGAGGGTTTACGAGTGCGAGTGCGACATTTGCGGCCTCAAGATCACGACGCGATACAACATGGCGTCGCACCTCAGGTCGCACGTCAACCTCAGACCCTACAAGTGCAGTTACGCGGGCTGCGACAAGACCTACAAAGATACGAGCTCGCTTCGTAAACACGCGCTGATTCACTACCCGGAGCGACAGGCGGCTTGTGAAGTGTGCGGGAAACGGTTCACCAGACACGAGAGACTGCGGAGACACCGGAGACAACATCTGCCCAGGGACAGGGACACGCCGTGCCATCTGTGCGGGACACGGTTTTACAACGAGAACTACGTCCGCGTACACATATACAAGAAGCACGGCGCGATACCGCGGTATATATGCGACACGTGCGGGTTCTCTTCCCGGAACAAGCCGGGGCTCGTCATGCACATGAGGAAGGGACACGACAGCGAGATGGACCGGCAGTGTAAGATATGTATGAAGACATTCAAGCGGCACGCGTACCTGAAGCTGCACTACTGGAACACACACTTCGTCAAATACAAAATGGCCGTGCGCGGAAAACCCAAAAAGAAGAAATCCGAAGAGGTGTCGGAGTTGCCGGATGACTTTGAGGGTATCCTGGACACCATCAAGGAGGAAATCGAGTCAGAGCCTGGATCTGACACGGACCAAACGGAGTATTCGAAGAATGTTCTCGCTGAAGAGGTGAAGAAAGTTATTTTCGGTAAAAGCACCACCGGCCGAGGTGACAAGGACTTCGAGGCTCTGTTCCTGGAGCACGTGATGAAGCCGGGACCTGACGCTGAAACAACAATTGTATACGAAACAAACCATTCGGATAACGATAACTTAAGGCCAACTATAGAAACAAATTTAGATAATGATAATGTAGTACTTAAAAGAATAAGTGAAAATAACACACAAACtgatttaaaagatataattaGTGAAAATACTGGAGCAAACAATGTGATCAGTGGAAACATGGAAAATTATGGAGCCAATTTAATTAGTGAAACCACTTCAGAAATACATGTAACAAATGCAATAAATGAAAACACTATCGAAAGAAAAGTTAGTGAAAATACTGAAGAAAGTAATACAATAAATGAAAATACTGCAGATAATTTAGGAAATGTAGTAAGTGACAAAACTACAAAAAGAATTGTTCAAAGCGTAAATGAAAACACTCCAGAAAATAATGCCTTAAATGTTTGTGGAAACACTGCAGAAAAACATGTCAGAACTGTGCGACGTGAAAACATTGCAAAAAATTACATAGTAAAAGTAATAATTGAAAACGTTGCAGAAGATGTGGGAAATGTTCTTCGTGAAAATACTGCAGAAAATAATATAGCTAAAGTAATTCCTGAAAACACTGCAGAAAAAAGTATAAGAAATATAATTAGTGAAAAAGTTGctgaaaaaaatggaaaaaacttaataagtgaaaacattgcagaaaaatatgaaaaaaacataaataaaaatactgaagcaaatgtaaataatttagaaaacgatattgttgaaaataatacagtaaataatttagaaaacacAAACATTAAAGAAAATGTAAGAAATATAGAAGGATTAGAAAACTCTATTAAcagagaaaataaagaaattgaaaATTATCAAGAAAACCAAACAACTGAGATTATAGAAAATGATAATCATTTAGAAGAAAGAAGTGATACTAAAAGAGAAGCTACCAGCGCCCAAAGCAACTGGTGTAGAATTAACAGCCATCAATGCTACGTCTGTCTCAAGTTGTATCAAACAAAAGAAGAACTATTGGACCATTGCAAAGAGCACTTCGATGTCTGTAATAaaaccattttaaaaaaatgtccttTATGCGACTATGTCACTAATCTAAACTTAGCTAGACATCTTTCACTCACTCATAATATAGACATTAAATTAGGCAGTAACAGTcttaaagatagaaaagataatAACAATGGTTCAAGGTTCTATTACAATGTTAATAATGATCTAGTCAAAGAAATAGAAGTTATACCCAGtgttaaatgtttaaataaacaaGCTTATATGAAATTAGATAAAGAGAAGCGAGAATCAAAATCACGAGGgttgcaaaaaactaaattagTTAAAAGGGGTGGAGAGTGGttgattgaaaataaaatactcAGTATTAAAGAAAGTGATTTAGATGTATACAAAGGCAGAGACCTAAGTGGTGATTATTTGGCTAAAGTTAAAGCTATAAGTCGTATTGCAAAGAATAATGGACAATCTGTTATGTTCCCGTGCAATAAATGTGAGAAGATTTGTCAAACTTTCAGTGCTTTGACGTTACATTATCGAAAGCATGAGGAAAATCCAAAACCATATAAACCAAAAGTTTGGAAAcacaaaaccaaaaatattcCAGAAACTAGTGAACCCGAAATTAAAACACCAGAAATCTCTAAAAATAGATACGAAAAGCCAAAACCTATTTCCAATAATCACAGATGTGATCCTAAATTAATGgagttttatgaaaaaaatattaagggaagCGATATAGAATTTTggcattttttgaaaatatataacaaaatgtctagagaaaatattaatgatttTCCAGATTTAATTAACAGACCTGAGTTTGGGATTCATTTTCATAATGAAACAGATACAAGAACAATCACTGATAATGCTAAAACCATAGATAAAAATACAACAGATAACACTAATGTTAACAAACAAATTGGTATCAATAAAATGGTAGATcttaatataaaatcaaaatcggttccaAAGAAATGTTCTTACAATAGAGTTGTTAGAATAAGCAAGAAAGATTATCAAAAAAGGAAGGCAATACAAGAAAGACTGAGACAGAATGTGGCTGCTAAAAGTTCTACGTAA
Protein Sequence
MAPQFSLYLVPDAKPFKCTYCEYACRDSSTLRKHQQRHQGIIRYYECSTCGKSFKTKRTLKEHITEIHLEIDLKTTPCEECGKLFKSKSSLASHKNNVHKRVYECECDICGLKITTRYNMASHLRSHVNLRPYKCSYAGCDKTYKDTSSLRKHALIHYPERQAACEVCGKRFTRHERLRRHRRQHLPRDRDTPCHLCGTRFYNENYVRVHIYKKHGAIPRYICDTCGFSSRNKPGLVMHMRKGHDSEMDRQCKICMKTFKRHAYLKLHYWNTHFVKYKMAVRGKPKKKKSEEVSELPDDFEGILDTIKEEIESEPGSDTDQTEYSKNVLAEEVKKVIFGKSTTGRGDKDFEALFLEHVMKPGPDAETTIVYETNHSDNDNLRPTIETNLDNDNVVLKRISENNTQTDLKDIISENTGANNVISGNMENYGANLISETTSEIHVTNAINENTIERKVSENTEESNTINENTADNLGNVVSDKTTKRIVQSVNENTPENNALNVCGNTAEKHVRTVRRENIAKNYIVKVIIENVAEDVGNVLRENTAENNIAKVIPENTAEKSIRNIISEKVAEKNGKNLISENIAEKYEKNINKNTEANVNNLENDIVENNTVNNLENTNIKENVRNIEGLENSINRENKEIENYQENQTTEIIENDNHLEERSDTKREATSAQSNWCRINSHQCYVCLKLYQTKEELLDHCKEHFDVCNKTILKKCPLCDYVTNLNLARHLSLTHNIDIKLGSNSLKDRKDNNNGSRFYYNVNNDLVKEIEVIPSVKCLNKQAYMKLDKEKRESKSRGLQKTKLVKRGGEWLIENKILSIKESDLDVYKGRDLSGDYLAKVKAISRIAKNNGQSVMFPCNKCEKICQTFSALTLHYRKHEENPKPYKPKVWKHKTKNIPETSEPEIKTPEISKNRYEKPKPISNNHRCDPKLMEFYEKNIKGSDIEFWHFLKIYNKMSRENINDFPDLINRPEFGIHFHNETDTRTITDNAKTIDKNTTDNTNVNKQIGINKMVDLNIKSKSVPKKCSYNRVVRISKKDYQKRKAIQERLRQNVAAKSST

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

100% Identity
-
90% Identity
-
80% Identity
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