Basic Information

Gene Symbol
RpS26
Assembly
GCA_963942575.1
Location
OZ012653.1:4647998-4652980[-]

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 15 0.022 2.2 9.3 0.0 2 23 346 368 346 368 0.93
2 15 0.00022 0.022 15.7 0.3 2 23 373 395 372 395 0.91
3 15 0.43 43 5.3 3.5 3 23 552 572 551 572 0.98
4 15 0.26 26 6.0 2.4 3 23 579 600 577 600 0.93
5 15 0.026 2.5 9.2 0.0 1 20 610 629 610 630 0.94
6 15 0.00013 0.013 16.3 1.0 2 23 641 662 641 662 0.96
7 15 0.036 3.6 8.7 5.5 1 23 675 697 675 697 0.98
8 15 0.00017 0.017 16.0 0.6 1 23 705 728 705 728 0.97
9 15 0.41 41 5.4 1.2 1 20 734 753 734 756 0.92
10 15 1e-05 0.001 19.9 1.5 2 23 760 782 760 782 0.97
11 15 0.51 51 5.1 3.9 1 23 802 824 802 824 0.95
12 15 3.1e-05 0.0031 18.3 1.5 1 23 830 852 830 852 0.97
13 15 2e-07 1.9e-05 25.3 4.3 1 23 857 879 857 879 0.98
14 15 0.021 2 9.5 8.7 1 23 887 909 887 909 0.98
15 15 5e-05 0.005 17.7 2.4 1 23 915 937 915 937 0.98

Sequence Information

Coding Sequence
ATGAAGTCGGAATGTTGCGTGTTGGGATGCTCATCAAGTAGATGCGTAGTACCAGTGCACAATTTCCCTAAAGATCCAAAAGTATTTGCTCCGTGGAAGGCTGCGGTCCACTCAGAGAAAACAGAAGGTCTAAGTGACGATAAATTACGTACAAGGGTTGTCTGTTATCGACACTTTAAAGATGATGATTACATCATGGGATGCAAATACCGTAGACTTAGAGCAGGTGTTATACCTTCCATTGCATTACCTGCGTGTACCAATGAAGTGAATAATGCTGTATACCTAGCTGCAGTGAAAACTGAGGTATTGAAAAGTGTTGATTCATCTGACTCTTATAACGTTGAAGATGAAAAAATTGTTACCCATCATGTGGATCACAAATATTTTATGGAGAAAGATTATAGATCCTTGCTGCCCCGTCAAAGACTGAAGTCTGAGGATGTTTCAAGGCAAAATATAGAGACCCATGTAAACATGCCTGTACATAGTTCTATGAAGAACAGTTCACAGTTGTTTATAAACATACTTCCTGAGCATGAGACAATTGTTAGTAATGTTTCTAGAAATGAAACAAATTTAGCAGTTATAGCAAATGCCAATGGCCATAATACGCAGAATGAAAACATAGATATGCTGTGTGAAACAATTGAGGAAACTACAGTGGAGCCAGCAGAGGAGATCTGCCGCTTATGCGCCAAGAAGTCTACAAACCATGTTCTAATTTTCGGAGATAATGATTTGTATATTCTTGAGAAGATAAGCAGGTGCTTGCCAATAATTGTACTGTCCGATGATGGACTGCCACCCTATATTTGTAAGAGGTGCCTGGGCTACTTAAATATTAGTTACAAGTTGATTGTTACTTCTGTACAAGCAGATGCTTCTCTGAGAAACCAATTTGAAAAAGCAAGTACATCTGAGGAAGATTTGAATATACTAAATACGCACGAGATGCAAAGCAAGCCATCAAgaaaaaatagtcatcatcTATCCTTTAGAGAACTGAAAAGGAAAGCAATCGCTGGGCCGGCAGAGTGTGAATTCTGTGATATAGTCTTTGAAGATATAAGTGCCTTTGACAATCACATGGAAGCTGTTCATATGCTTCAGTGGAGATGTAACATTTGTGACAACAGCTTTGATACATCCTCAGACCTAATTTCCCATAAAACACTAGAACACAATGTAAATATTGACATTTGCAAAGCCTGTGTTTCTTTGAAAGAGAAATGTAAACACGAGAATGAGTCTGCtattaaaatagaaaataaatgtcACATCCATGAGAGCACAACTTGTAATACTCAAATCAAAGCACAACTTAAGAGTGCCAATTTAAAACAACAAATGCCAACTGCTATAAACAATGCTATACCTTGCTCAGGTACTGTAAATTCAGATACTATAATCTTCGTGGAGACAAAGAAAATGCTGCTAGAACCAAATCTCTACGAGGATACTGTACCTTGCTCAGATATCGTGAGCTCAAATGCTAAAATCTTAGTGGACACAAAGAAAACGCTCCTAGAACCAAATCTCTGCGAGGATACTGTACCTTGCTCAAATATTGTAAGTTCAAATACCTTAGTCGAGACAAAGAAAACGCTGCCAAAACCACATGTTTACAAGAAAAGGCCAAAAAAAATATTGTGTGAAGTTTGTAAAATTTGTTTCCACACTGATCGTCAATATGCCGCTCACAGGAAACTTCACGATTCCAAGCGCGTCATGTGCGTCTCCTGTCGCACAAAATGTTCCTCGATCTACAATCTGTTTCGACATAAAAGAGATGCGCACAACATGTATAAGAAAGTGCATCTGAGGTATGTATGTGACAAGTGCGGCAGGTTGTTTGCGACCGACACGCAGTGGGAGGCACACAGGGGCAACGCATGTCCAAAAAACCTTTTCAGCAATACTTGTAAATATTGCAAAATTGTTTTCCCAACGAACAAGAAGCTAAAGTGGCACCTCAATGACCATATGGCTGAGATGTTGAGCGATCCAACCATTTCGACACACAAATGTGTTACCTGTTCAAAAGTTTTTCTGCACAAAGAGTACTACCAGATGCACATGAAGGTCCACGATCCAGATTATCAGAGAAGTTATAAGTGCAGTATATGCAGTCAGCCGTTTGAAACTAGGGTTCGATTGCGAAACCATCAATTATCGGTTCACGAAGACGTAAGGATACATCCTTGCGATATGTGCATGAGAACTTTTCAACGATTGAGCACCATGAAAATACATCGTTGGAGCCACTTCAGACGAAAGTGCACTCATTGTGGTATAATGTTCGCAAGCTTGCGTGATCTAAGGAAGCATATAcgaaatgtacacggtttggagCCAGATATAAAACGTCGACATCCAAGCAATATTTACACTAGCGAGAAGCATGTGTGTAGATATTGCGGAAAATTATTATCCTCATTCAAAACTCTGATGTATCACGAGCACATTCATACGGGAGAGAGACCTTACGACTGCAAAATATGTCACAAGACATTTCCGAGCTCCAGTGGCCGTTGGGCTCACATGCAATACCATGAGAACAGAACCTTTATTTGCGAGTATTGCGGGAAATGTTTCAGATACAAAGCTTATTTGACGAAGCATATTAAGACGCATTTACCCATGACAGCTCGCAAGCATCAATGCGACATGTGTGATAAAACATTTTTGCGAAAGTGTCATTTAAATATGCACAAGAAAGTGCATGACGACACCCGGCCTTATACCTGTGACATCTGCCAATTCAGTTTTAAGCTGAAACAAGACTTGAAGAGGCACGCAAAACGTCATACGAATGGAACTGCAGCTGTGAGAGATATCTCAGACGCAAGTTACTACGGCTCTTATCAGCTACCCAAACTATACGCCAAGCTTCACTACTGCGTGTCTTGTGCCATTCACTCCAAGGTGGTGAGAAACAGATCGAAGGCTGATCGTCGTATTAGGACACCGCCAGTTCGTAATTTCCCAAGGGATCTTCGCCAAGGGCAACAGAACAGAAAATAA
Protein Sequence
MKSECCVLGCSSSRCVVPVHNFPKDPKVFAPWKAAVHSEKTEGLSDDKLRTRVVCYRHFKDDDYIMGCKYRRLRAGVIPSIALPACTNEVNNAVYLAAVKTEVLKSVDSSDSYNVEDEKIVTHHVDHKYFMEKDYRSLLPRQRLKSEDVSRQNIETHVNMPVHSSMKNSSQLFINILPEHETIVSNVSRNETNLAVIANANGHNTQNENIDMLCETIEETTVEPAEEICRLCAKKSTNHVLIFGDNDLYILEKISRCLPIIVLSDDGLPPYICKRCLGYLNISYKLIVTSVQADASLRNQFEKASTSEEDLNILNTHEMQSKPSRKNSHHLSFRELKRKAIAGPAECEFCDIVFEDISAFDNHMEAVHMLQWRCNICDNSFDTSSDLISHKTLEHNVNIDICKACVSLKEKCKHENESAIKIENKCHIHESTTCNTQIKAQLKSANLKQQMPTAINNAIPCSGTVNSDTIIFVETKKMLLEPNLYEDTVPCSDIVSSNAKILVDTKKTLLEPNLCEDTVPCSNIVSSNTLVETKKTLPKPHVYKKRPKKILCEVCKICFHTDRQYAAHRKLHDSKRVMCVSCRTKCSSIYNLFRHKRDAHNMYKKVHLRYVCDKCGRLFATDTQWEAHRGNACPKNLFSNTCKYCKIVFPTNKKLKWHLNDHMAEMLSDPTISTHKCVTCSKVFLHKEYYQMHMKVHDPDYQRSYKCSICSQPFETRVRLRNHQLSVHEDVRIHPCDMCMRTFQRLSTMKIHRWSHFRRKCTHCGIMFASLRDLRKHIRNVHGLEPDIKRRHPSNIYTSEKHVCRYCGKLLSSFKTLMYHEHIHTGERPYDCKICHKTFPSSSGRWAHMQYHENRTFICEYCGKCFRYKAYLTKHIKTHLPMTARKHQCDMCDKTFLRKCHLNMHKKVHDDTRPYTCDICQFSFKLKQDLKRHAKRHTNGTAAVRDISDASYYGSYQLPKLYAKLHYCVSCAIHSKVVRNRSKADRRIRTPPVRNFPRDLRQGQQNRK

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

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