Basic Information

Gene Symbol
-
Assembly
GCA_029286865.1
Location
JAGSMU010000044.1:1409177-1438166[+]

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 16 4.8e-05 0.0053 18.0 3.1 1 23 18 40 18 40 0.99
2 16 0.0084 0.93 10.9 0.3 1 23 46 69 46 69 0.96
3 16 0.0001 0.011 16.9 1.9 2 23 75 96 74 96 0.96
4 16 5.4e-05 0.006 17.8 0.5 1 23 102 124 102 124 0.96
5 16 4.5e-05 0.005 18.0 3.0 1 23 130 152 130 152 0.98
6 16 0.00033 0.036 15.4 3.1 1 23 159 182 159 182 0.94
7 16 9.2e-06 0.001 20.2 0.1 2 23 191 213 190 213 0.95
8 16 8e-05 0.0088 17.3 5.0 2 23 220 241 219 241 0.96
9 16 0.0027 0.3 12.5 3.4 1 23 247 271 247 271 0.97
10 16 0.00061 0.068 14.5 1.2 1 23 277 299 277 299 0.94
11 16 0.16 18 6.9 0.1 2 23 307 329 307 329 0.97
12 16 0.0015 0.17 13.3 0.2 1 23 334 357 334 357 0.98
13 16 0.00061 0.068 14.5 1.5 3 20 365 382 364 386 0.93
14 16 1.5 1.7e+02 3.8 3.9 1 20 634 653 634 656 0.90
15 16 0.035 3.9 9.0 0.7 2 23 667 687 666 687 0.91
16 16 0.0003 0.033 15.5 1.5 1 23 816 838 816 838 0.98

Sequence Information

Coding Sequence
ATGGAAGAAGGAAGAAAACGGAATAAAAAGAACAGCAGGACAAACTATGAGTATAAGTGTGATATTTGTAAGAAGagattCTTTGAGAAGGCTTCATTGAAGGAGCACAAGAAGACCCACACTGCCGAAACACCTTACAGCTGCAACCTGTGCTCGTATTCCGGCAAGACCGCCAAGTATCTGGGCAGGCATGTGAGGGGAGCGCACACAACGCCAACAATCTCCTGCAAGGAGTGCGGCAAGATGTTCCACTTCATGTCAAAACTGAAGGAGCATATGCTAGTTCACACAGGTGCCAAGCCGTACAAGTGCAGGGTGTGTGGCAAGGCCTTCAACTCTTCATATTCATTGGGTACACACTCCCTGATTCATAAGaATCTCAAGCCCTTTCAGTGCTCCATCTGTGAGTACGCCTGTCGCGACAGCTCCACCCTCAGGAAGCACCAGGACCGACACCTGGGGAAGATAAAAAAGTTCCCCTGCAATCTTTGCAATAGAACTTGCAAATCGAAGACGGACCTGAAGATGCACATGGACGAGAAGCATTTCGGCTTGAACGTCCACAGTATACCCTGCGACATTTGCGGCAAAATGTTCAAGTCGAACTCAGTTCTCTCCACTCATATAAACGTGATCCACGCCCGTCGCTATATCTGCAAGTGCGAGATATGTGGCACCACCTGCCTGAGCAAGTCGAACCTGGAGAGGCACATGCGCTCCCACGTCGACATCCGCCCCTACAAGTGCACCTTCGAGCAGTGCGGCCACAAGTTCAAGATGATGAGCGACTTAAAGAAGCACTACGTCGTGCACCTTCCCGAGCGTCAGCACGCCTGCCCCACGTGTGGGCGACTGTTCACCCGCAAGGCGCGCATGATGAGGCACATGGTACAGCATCAGCCCAAGGTGGAGTCTGAGCAGTGCGGCCTGTGCGGTATTTGGTTCCAAAACAAGAACTACGTCGCCGCCCACATACGCAAGCTACACAGCAGCCAACAATACGAGTGCGACGGGTGCGGATTCAGGACCAATAGCAAGACCAACATTGCGTTGCACATAAAGCGTGGACACGACGTGGTCACGGACCGGGCGTGCAAGATCTGTCAGAAGAGCTTCAAGAGGCACGCGTACCTCAAGCTGCACTACTGGAGGGTTCACTGCGTGAAATACATGCCtcggatTAAGCGGAATGATATCACAGAGGAAATAGACATAAAACAAGAGATTGAGAGTTTACCTGATATAGATTTATTGGAAGTGGAGAAGCGAGAGATTTTATCTGACATAGAAGAATATGATAACACCACAGGAGAGTATGGAAATGGCGAGAGGGATTACCAGAACAGCGCTGAAGACGAGCAGTATTCGAAGCAGGTGTTCTGCGAGGACGTGAACCGAGTTCTCGGGGAGACGAATGAAGAGGTAATGGATGGACGTCCAGAGCAAGTGTTCGACGAGTTCATGATTGAGAGGATTTCGAAGAGCGCGGGGAaaagtgatgGTAAACACGGAGTTACGGTGGAAATTGACCAGGCATCAGAAGAGAACGTGAAGATATATTTGGAGAAGCTTGTGAACAGGGCCAAGAGGAAGAGGGAGCTAAAGGAGATGGAGGAAACGAGACTGAAGTACAATCGGAGGATACGAGAAGCGATGAATAGGAAACCTGAGACAGAACGCGTCATCATTAAATACGTGAAGAACAAACCAAGCGATGAAACACCAAGCATCGGAGCCGTACCGTCCGAAGACTTTAATGAAGAAACCAATGACGGACACGCAGTATCATCAAACTGCGATAATGAATCTGTGGACGGTAACCATAGAGAAATTGACAGCAACGACAACGAAGTGAAGGAACCGGGGGAGAACgggaataagaaattaaaaatcaactCTCACCAATGTTATGTTTGTTTCAAACTTTACAAGACAAAACCAGAGCTAATCGAGCATTGCCAGGAACATTTCGACGTTTGCAGTAAAGTGATGCTAAAGAAGTGTCCCTTGTGTGATTACGTCACTAAACTAAACCTCACCAGGCACATGAGGCTAGTCCATAAAATCAACATACAAGTACCCTACGCCAGAATCAAGGACAGGAAACACAATCGTAACGGTTCAAGATACTACTATAACATAAACAACAGCATCGTGGACCAAGTGGAGATTATACCGAGCGTGAATAACCTCAACAAACGCGCCTACGTCCAAATGGAGAGGAAGAACAGAGTGGAGAAGGATAGATGTGTTGCCAAGACGAAACTAGTGAAGAAGGGCGGGGAGTGGGTAGTTGAAAAAGAGAATATAACGGTCAAAGGGGACTATCTCCTGCCGAAGTTTAACGCGAAAGATATATTGCAGATAAAAGAGAACGGTGACGATTATTTGGGGAGAATGAAGAAGTTGAGCCGTTTGGCGAAGAGCAACGGAACGAAAATGATGTTCCCATGTGAGGACTGCGAGAAGATCTGTCAAACTTTGTCCGCCCTCAAACTGCATACTCGCAAACACGACCCCAGCGCGAAACCGTTCAAACCGAAGATATGGAAACACAAGATGACGGGCAATGCGCCGCCGCCGAAGAAGAACGAGACACAGTTGAACACCGAAAACCGCTACGCGGACCCGAAGCCGATATCTAACAAGCACAAGTGCGAGCCTGAACTAAAGGATTTCTATGAGAAAAACATCAAAGGCGGCGACGTCGAGTTTTCGCAATTTCTAAAGATATACAACAAGATGTCCAGAGAGAACATCAAAGACTTCTCTGATCTGGAGAACCGCACCGATTTCGGTATACATTACGACGACACCCCCAAAAACCCGGTGGCAGCAGAAGTCATTAAAAGGAAAATAgttaagaaaactaaaaaaccATGCTTCACCAGATTCATTAGAATTACTAAGAAGGAATATTTGAAGAGAATGGAAGCGACTGAAAGGTTAaggcaaaaattaaaaatgaccaACACGTAA
Protein Sequence
MEEGRKRNKKNSRTNYEYKCDICKKRFFEKASLKEHKKTHTAETPYSCNLCSYSGKTAKYLGRHVRGAHTTPTISCKECGKMFHFMSKLKEHMLVHTGAKPYKCRVCGKAFNSSYSLGTHSLIHKNLKPFQCSICEYACRDSSTLRKHQDRHLGKIKKFPCNLCNRTCKSKTDLKMHMDEKHFGLNVHSIPCDICGKMFKSNSVLSTHINVIHARRYICKCEICGTTCLSKSNLERHMRSHVDIRPYKCTFEQCGHKFKMMSDLKKHYVVHLPERQHACPTCGRLFTRKARMMRHMVQHQPKVESEQCGLCGIWFQNKNYVAAHIRKLHSSQQYECDGCGFRTNSKTNIALHIKRGHDVVTDRACKICQKSFKRHAYLKLHYWRVHCVKYMPRIKRNDITEEIDIKQEIESLPDIDLLEVEKREILSDIEEYDNTTGEYGNGERDYQNSAEDEQYSKQVFCEDVNRVLGETNEEVMDGRPEQVFDEFMIERISKSAGKSDGKHGVTVEIDQASEENVKIYLEKLVNRAKRKRELKEMEETRLKYNRRIREAMNRKPETERVIIKYVKNKPSDETPSIGAVPSEDFNEETNDGHAVSSNCDNESVDGNHREIDSNDNEVKEPGENGNKKLKINSHQCYVCFKLYKTKPELIEHCQEHFDVCSKVMLKKCPLCDYVTKLNLTRHMRLVHKINIQVPYARIKDRKHNRNGSRYYYNINNSIVDQVEIIPSVNNLNKRAYVQMERKNRVEKDRCVAKTKLVKKGGEWVVEKENITVKGDYLLPKFNAKDILQIKENGDDYLGRMKKLSRLAKSNGTKMMFPCEDCEKICQTLSALKLHTRKHDPSAKPFKPKIWKHKMTGNAPPPKKNETQLNTENRYADPKPISNKHKCEPELKDFYEKNIKGGDVEFSQFLKIYNKMSRENIKDFSDLENRTDFGIHYDDTPKNPVAAEVIKRKIVKKTKKPCFTRFIRITKKEYLKRMEATERLRQKLKMTNT

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

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