Basic Information

Gene Symbol
-
Assembly
GCA_001015335.1
Location
NW:723301-864044[-]

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 14 0.68 31 4.9 2.2 2 23 255 277 254 277 0.93
2 14 2.7 1.2e+02 3.0 1.6 2 23 311 333 310 333 0.94
3 14 0.00012 0.0054 16.8 2.5 1 23 353 376 353 376 0.97
4 14 0.00015 0.0068 16.4 0.4 2 23 382 403 381 403 0.96
5 14 0.011 0.53 10.5 0.3 1 23 409 432 409 432 0.96
6 14 0.19 8.7 6.7 0.9 2 23 697 719 696 719 0.93
7 14 1.7 79 3.7 3.4 2 23 753 775 752 775 0.95
8 14 0.0023 0.11 12.7 1.3 1 23 796 819 796 819 0.94
9 14 8.2e-05 0.0038 17.2 0.2 2 23 825 846 824 846 0.96
10 14 0.0017 0.077 13.1 0.7 1 23 852 875 852 875 0.95
11 14 2.4 1.1e+02 3.2 0.2 2 23 1138 1160 1137 1160 0.89
12 14 0.0031 0.14 12.3 3.7 1 23 1235 1258 1235 1258 0.95
13 14 5.4e-06 0.00025 21.0 0.1 1 23 1263 1285 1263 1285 0.97
14 14 0.0019 0.087 13.0 2.5 3 23 1293 1314 1291 1314 0.95

Sequence Information

Coding Sequence
ATGTTGAAACATTCACCTCCCTCAGACTATTGCCGGCTCTGTGTAAAAAGCTGCCATGATTACCAGCACAGCCTCTATGATGAGACAGGTCAAGCTAACGCAAATCATGATCTTGTGGGCAAATATTTTACCAACACAGTGAGTCTCCTCTCTGATACACCCAATGACTTCCAAATATATCTTCAATGCTTTCAGATGTTGAATATGGAATGGGAGAGACGTCTTCAATACATGTGTggcaaatgttggcagcatatCTGGAAGTTTCATCAATTCCAGGAGTCCATTATTGAGGCACAGAAGGGCCGACATTTGCATATAGAAGAGGCAAAAGCAGTTCAGGAAGTTAAGATTGAAACTGAGTTGAATATAAATCAGCAGAAAGTACAACTGGACTTGCCCATGACCAAGGGACCAGGCActagcactgaagatttaatCGTACCTACAGTCCTTAGCTTTGATATAAAAGCTGAAGAACCTTTGGATCTTAACAGTGATCATGAAGGGATGTCGTCTCAGAACGGGCAGGACCATTTAACGGATGAAGAATTGTCTCCGATGATGTCCAGTAGAAAAGAAAATGCATCCTTACAAAATGGCAAAGATGATGAATCCAATGAAGACTACAGTTCAAGTGATGACAAGCCCTTATCATCTTTGAGCCAAACCAATATTTCCTCTTCAAAACATAAAGTCTCCGATACAAAAAGGTCTGTAGAGGAGTTTGATGAATTGGTGGCTTTGTGGCGAAACTCCTTAGAATGTGATATTTGTCATCATCTGGTGGCCAGCTATTCCCAGTTGAAGGAGCATTTTAGCAAAAGCCATGCTTCAGAAATTTGTTACCTCATGTGTTGCCAATTGAGGCTGGACTCCCGTTACGATATTCTGCAACACATAGACTATCATAATGCCCCGCAGCATCTAAAATGTGAGGTCTGTTGCAAGGCTTATCGTTGGGTGAGAACTTTAAGAACCCACATTAAAACTATCCACATCAGGAAGGGAGGAGATAAAAATGCTCAAGACAGCAGCGAGAAGTTGGAAGGAAAATATCGTTGCTACAAGTGTTCCAAGGACTTTGCAAGCGAAAAACATTTGGAAAGACACATTCAAAATGTCCATAAACCCAAGATCTTGGAATGTAAGTTTTGTGAAAAATCGTTTAGACGTCCAGAGGTACTGCGCGAGCATTTGGCTCGCCACACAGGCGTGAAGACATATGCCTGCTCCGCTTGTCCCAAGGCATTCAATTGGCGATCTAGTTATTTGGCGCACATGAAAAAAAATCATCCACAGGAATGGCAGAAGATGCGAAACGAAGAGGCCCAAAGAGAGCCTAAATGTGGGTATTGGCGAGAAATTCGAGGAGATAGTGTGATCtatatttgcatttattgtTTCAAAGAGTATAACAAGCAGATATCCGTATACAGACATAGCAGGGTATGTCTTGAAAGCGATAGACCAATGGAGCCAACAAAGGGAATTCGGATTGAAACACGGGGAGCCAGTGAAGTCTATGTGTGCATTTATTGTGAGACAGAGTATGAAATGCGGCGTTCTATTTACCATCATCTTAACCAATGTCAAAAAAAGGATGGCTCTGTAGCAAAGAAAGCATCAACGATTGCTGAATCCCCCGCACTAGCTGCCAAAGTCGTGATAGAGTCTGAATTGAAAAACGAAGGCTCTTTAGCGGAGAAGGCATCAACGATTTCTGAATCCCCCGTACCAGCCGAGGAAGTCGATATAAAGCCTGAGTTGAATACGAGTCAGCTGGAAGAACAACTGGAGTGGCATAATGCCAAGGGATTAAGCGCTAGCACTAAAAATGTAACCAAACCTAAGGCCCTTACTTTCGATATAAAAACGGAAGAGTCTGATGAAGAAATGTCTGACATGTCCAGTAGAAACGATAATAATGCCGTTGTATCCAATGAAGATTTTAGTTCAAGCCAAGTCGCCACACCGCTATCATCTTTGAGCCACACCAACCTTGGCTCTTCAGATAAAACAGTTGTAGCTACCAAAAGGTCGGCAGAGGAGTTTGATGAACTGGTGGCTTTGTGGCGATCCTCTTTAGAATGTGACATTTGCCATCAGCTGGTGGCCAGCTATTCCCAGTTGAAGGAACATTTTAGCAAATACCATGCTTCAGAAGGTTGTTACCTCATGTGTTGCCAATTGAGGCTGGCAACTCGTTTCGACATTGACAGACACATACGCTATCATAATGCCCCGCAGCAGCTTAAATGTGAGGCCTGTTGCAAGGCTTTCCGTTTGGCGAAACATTTGGGAAATCACAAAAGGACTGTCCACACCAGCAAGGGAGGAgacaaaaatgctaaaaataaaGACATTGAGACGCTGCAAAGGAAATATCGTTGCAGCAAGTGTTCGAAGGACTTTGCAACGGGAAATCAGTTGAATAAACACAATCAAAATGTCCATAAACCCAAGACCTTGGAATGTAACTTTTGTGAAAAATCGTTTATGCGTCCAGCGGCATTGCGCTATCATATGGCTAGCCACAAAGGCGAGAAGACGCATGCCTGCCCCTTTTGCCCCAAGGCATTCACCTGGCCGAGTGATTTCTCCCTACACATGAACAAATTTCATCTACAGGAATGGAAGCAAATGCAAAAGGAGGAGGCCCAAAGAAAGCCCAAATGTGGTTATTGGCGAGAAACTCGAGGAGGGAGTATGGTCTTTGTGTGCATTTATTGTTTCAAGGAGTATGACAATCGGCATTCAATGTACTATCATTCCAAGCAATGTCAAATATATGGCACACCAGTAGAGCCTAAAATGGGGTTTCGGCTTGAAACCCGGGGTAAGAGTAAAGTCCATGTGTGCATTTACTGTGCCAAGGAGTTTGAAAAGCTTCATTCCATGTACCTTCATCTTAAACAATGTCATAGAGACGGTGGCTCTTTAATGGAAGAGCAAGCATCAATGATTTGTGAACCCCTCACTTCAGCTGAGAAAGTCGAAATAGAGCCTGAGTTGAATACAAAACAACAGGAAGTGCAACTGGAGTGCGATAATGCCAAGGAACTAAGCGCTAACaatgaaaatttaatcaaaCCTAAAGCCCTTACCTTTGATATAAAGTCTGAAGAACCCTTGGATCTCAACAGTGATTACGAGGGGATGTCACCTCAACACCTGGAACAGTTAACGGATGACGAAATGTCTCTGTTGTCTTACATGTCCAGTAGTAGAAACGAAAGTTCATACTTAAAGAATGACGATTTATCCAATGAAGCTTGTGACTCGAATGATGACCTGCCCCTATCATCTTTAAACCCTACCAAGTTTTGCTCTTCAGATAAAGAAGTTCCTGCTGCGAAAAAGTCTGTGGAGGAGTTTGATGAGCTGGTGGTTTCGTGGCGTTCCTCCTTGAAATGTGAAATTTGCCTCCAGCTAGTGCCCAACTATTCCCAGTTGAGGGATCATTTTGGCAAAAGCCATGCTTCAGTGAAATGTTACCTCATGTGTTGCCAATTGAGGCTGGAAACTCGTAACGATATTGAAAACCACATTCACTATCATAATGCTCCGCAGCAGCTAAAGTGTGAGGCCTGTTGTAAGGCTTACCGTTTGGAGGAAGATATAAGAGTTCACAAACGGAAAGTCCACACCAGCAAGGGAGGAGATCAAAATGATGATGACAGCGACAAGTTGCAAGGGAAGTATCGGTGCCGCAAGTGTTTGAAGGATTTTGCAACGAACCGGCATTTAAATAAACACAATCGTGATGTCCATGAGCCCAAGACTTTTGCATGTAACTTGTGTGAAAAATCGTTTCGGCGTCCAGGGGCCCTGCGTGATCATTTGGCTACCCACAAAGGCGAGAAGAGGCATCTATGTTCTTTTTGCCCCAAGGCATTCATCAGGCGAAGTGTTTTCAGTCTACATATGAGAAAATCTCACCTTCAGGAGTGGATGAAAATGCAAAACGAGATGGGAAAATCTCAGGAACGGAAGAAGATGCAAAACGAGGAGGCCCAAAAATTGCCTAAGTGTGGGTATCGGCGAGAAACTCGAGGAGAGAGTATGGTCTTTGTTTGCATTTATTGTTTCAACGAGAGTGACACTCGGCATTCAGCGTACTATCATGCCAAGCGATGTCCAAAATATGATAGACCAGCACAGCCTAAGAAGGGGTATCGCCTTGAATCCCGGGGAAAGAGTCAAGTCCATGTGTGCATTTATTGTGCCAGGGAGTTTGAAAAGCGACATTCCATGTACCAACATCTTAACCAATGTCATAAAAACGTTGACTCTTTAGGGGAGAAGCAGGCGGCAGCAATGACTGCTGAACTCCCCGTACCAGCTGAAAAAGTCCAGATAAAGCCTGAGTTGAATAAAAATCAACAGGAAGTAAAACAGGAGTGGCATACTGCAACAAGGACTAATGTGAAAACCGAACAATTTTCTGCTAATACAAATGGcttggaaaataaaataaaagacgaTGAAATGCCAACAGAGTTTGAAGTTAATACATGGGAAAGTGAAGAATTCATAGAATCCAATGAAGAATTTATTGAGCTATGA
Protein Sequence
MLKHSPPSDYCRLCVKSCHDYQHSLYDETGQANANHDLVGKYFTNTVSLLSDTPNDFQIYLQCFQMLNMEWERRLQYMCGKCWQHIWKFHQFQESIIEAQKGRHLHIEEAKAVQEVKIETELNINQQKVQLDLPMTKGPGTSTEDLIVPTVLSFDIKAEEPLDLNSDHEGMSSQNGQDHLTDEELSPMMSSRKENASLQNGKDDESNEDYSSSDDKPLSSLSQTNISSSKHKVSDTKRSVEEFDELVALWRNSLECDICHHLVASYSQLKEHFSKSHASEICYLMCCQLRLDSRYDILQHIDYHNAPQHLKCEVCCKAYRWVRTLRTHIKTIHIRKGGDKNAQDSSEKLEGKYRCYKCSKDFASEKHLERHIQNVHKPKILECKFCEKSFRRPEVLREHLARHTGVKTYACSACPKAFNWRSSYLAHMKKNHPQEWQKMRNEEAQREPKCGYWREIRGDSVIYICIYCFKEYNKQISVYRHSRVCLESDRPMEPTKGIRIETRGASEVYVCIYCETEYEMRRSIYHHLNQCQKKDGSVAKKASTIAESPALAAKVVIESELKNEGSLAEKASTISESPVPAEEVDIKPELNTSQLEEQLEWHNAKGLSASTKNVTKPKALTFDIKTEESDEEMSDMSSRNDNNAVVSNEDFSSSQVATPLSSLSHTNLGSSDKTVVATKRSAEEFDELVALWRSSLECDICHQLVASYSQLKEHFSKYHASEGCYLMCCQLRLATRFDIDRHIRYHNAPQQLKCEACCKAFRLAKHLGNHKRTVHTSKGGDKNAKNKDIETLQRKYRCSKCSKDFATGNQLNKHNQNVHKPKTLECNFCEKSFMRPAALRYHMASHKGEKTHACPFCPKAFTWPSDFSLHMNKFHLQEWKQMQKEEAQRKPKCGYWRETRGGSMVFVCIYCFKEYDNRHSMYYHSKQCQIYGTPVEPKMGFRLETRGKSKVHVCIYCAKEFEKLHSMYLHLKQCHRDGGSLMEEQASMICEPLTSAEKVEIEPELNTKQQEVQLECDNAKELSANNENLIKPKALTFDIKSEEPLDLNSDYEGMSPQHLEQLTDDEMSLLSYMSSSRNESSYLKNDDLSNEACDSNDDLPLSSLNPTKFCSSDKEVPAAKKSVEEFDELVVSWRSSLKCEICLQLVPNYSQLRDHFGKSHASVKCYLMCCQLRLETRNDIENHIHYHNAPQQLKCEACCKAYRLEEDIRVHKRKVHTSKGGDQNDDDSDKLQGKYRCRKCLKDFATNRHLNKHNRDVHEPKTFACNLCEKSFRRPGALRDHLATHKGEKRHLCSFCPKAFIRRSVFSLHMRKSHLQEWMKMQNEMGKSQERKKMQNEEAQKLPKCGYRRETRGESMVFVCIYCFNESDTRHSAYYHAKRCPKYDRPAQPKKGYRLESRGKSQVHVCIYCAREFEKRHSMYQHLNQCHKNVDSLGEKQAAAMTAELPVPAEKVQIKPELNKNQQEVKQEWHTATRTNVKTEQFSANTNGLENKIKDDEMPTEFEVNTWESEEFIESNEEFIEL

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

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