Basic Information

Gene Symbol
salm
Assembly
GCA_030264695.1
Location
JARJDU010018190.1:768-3791[-]

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 3.1 3.3e+02 2.3 0.0 2 23 6 27 5 27 0.91
2 14 2.5 2.7e+02 2.6 1.8 1 11 475 485 475 495 0.77
3 14 0.0021 0.23 12.2 0.2 1 23 656 678 656 678 0.98
4 14 0.00046 0.05 14.3 3.4 2 23 681 702 680 702 0.96
5 14 0.11 12 6.8 3.7 1 23 708 730 708 730 0.94
6 14 5.9e-06 0.00065 20.2 4.2 2 23 737 758 736 759 0.95
7 14 0.013 1.4 9.7 1.1 1 23 769 791 769 791 0.96
8 14 0.00047 0.051 14.3 3.9 2 23 797 819 796 819 0.96
9 14 0.13 14 6.6 0.1 2 23 835 855 834 855 0.95
10 14 2.6e-05 0.0029 18.2 1.3 1 20 861 880 861 883 0.93
11 14 3.4e-05 0.0038 17.8 0.3 1 23 891 913 891 913 0.99
12 14 0.00058 0.063 14.0 3.7 1 23 919 941 919 941 0.98
13 14 2.5e-07 2.8e-05 24.5 3.2 1 23 947 969 947 969 0.98
14 14 0.00054 0.059 14.1 7.5 1 23 975 997 975 998 0.96

Sequence Information

Coding Sequence
ATGGAAGGAACCGTTGTGTGCCCGGTTTGTACGCTTTATCTCCGACCGGGAATGACCTTGCAATCTCACTTGGAATCCCATCCCAAGCAAAAAGTCATTGAAGCACTGGTTAAATTACATTCCGAGCCTCCAAAAGAAGTTGCATATTCATCATTAAATACAAATGTGGTACAAGCCAGCCAAGAACTTCCCACACAGCAGCAATCATGGATTCCGCCAACGGCCACAGTCCCATCGGCACCAAATGGAAGCTATCCCGGGCCATCATCAGGTCCATTATTACCCTCTCACCCGGTGCCTTCAACACAATCAAATTCAACTGGGCCTGTAATAGCCACTCAAGCAGGCAATCACTCCTTCTTCTATCAGCAATTCATGAGTTCGTCAGTACCGCAACCCAGCTACGTCAACCAGCAATACGTTATTCCAATGTTCAATCAACCTTTGCAGAATCCACTGATTCCAGGATATATGTATCAGCAACAGCAAATGTTTGTGACTTCAGGACCAACAATGCCGTCAATTATGCCAATGAGCACTGAGCAGGCACCGAATATTGTAGAGATCCATGACGATGATGAAAAAAACACTCCCGAATTCCCAGATTCGCCGAAGAGTGTAATTTTACCTAAtcaggaagaagaagaagatgagcTTGCAAGCAATGAGAGGCCAATGCCTGAATTGGAAAGTCAAGTTGAACAATCTCACATATCTACATCTCGAGAAGAAGAGGACCAACAAATTGAATTGGATAAATCCTGCCAAACACTCGGTGATGATCCTCCTCAGTTGCAACCGGAAGTTTCAGACGCCATGGAAAAATATGATGTGAAAGACAATGAAATAGAAACCAGTCCGAACTTTATAACGTTGACCAATCATTCAAATCAGGTTGAAGACATTGTTGGGGATGAAGCTCATCATACTTTTGACATGGACGGCATGAATCTTATCTTGGTTCATGACTTCATGCAACCCAGTCAGCAAAAGCCTGAATTAGTTGAACCTTCTGCCGCTGAAGACTATGACTATAACAGTAATGCCAGTGGATACAAGTATGAGCGTCCTAGAATTTTGATGAACATCGGCGACGGAGACGATGACAATCGCGATGAGAACATCTCGATCGACAGTGTGAACATACGAGCGGACGAAAACATGCCTCCGAGAGGAGAGCTCTCTGGTCAAGAAAGCAATGCTAGTGATGTTGCTTCCTGGTCAAGATTACAGTACCACGAAAGCAGTTCCCGTATGTCTACTGGCATGTCCACCTACGATCTCCTCGCTCGAGAAAGTTGGGAAGGTTCCGATGCTTCGGATGTAGACGGACCTCCTCCCTACCAAAGCAGAGATCCTCTTTACGAAGAAGACGATGATTTTCCTGTTTATATATCTGGCTCTTCTATGCAAGgcattgtatataaatgtaacaCATGCACAATGACATTCATGTGTCCCAAAGAACGTCGGGTACATCAGACATGCATCCATGGAGCTCCGGCAAGCAGCGCAGACTCACCAAGTACACGCGACCAAAGCCAAGGCACTTCTTTCCAGTCTCCGGCTTCGGATGACTTGGCATCTCAGAAGAAGTGCAATGTTATCGGCTCGCAGCTCTTCAAGAAGAAGGTAAAGAAGTTGGTCATCAAGCCAAAGCCTACCTTGAAGGAAACTCTAAAGACTGAAACAATCGAAAGCCCCTTCGACCACATCTTCAATAACATGATGAAAGTCGAAGATGATCAAGGCACTGCTAATCAGACAAAGACTGAAGGTTCAAAGGACCTCATATTAAAGGATTTGGGTGGCATTCCATTGCCTGCTGGTGTGCCGCCACTTCCCGGTTCCGACAAAATGATCCAACCTGCTGTCATTTGCGTCTTGTGTTGCGCTGCAATTGAAGATAACCATTCGCTAAAACAGCATCAGGCCGATGTGCACGATTTCGGCATAGATACCAAATACAAGTGCGGCTTGTGCAATGAACAATTCACCACCGAGCCGCCTTACACCGAGCATCTCAACGTACACCCACTAGAATGCCTCTTCTGTGGCAAATACTTCTATCGCTCCCACAATatgcaattgcatttaaagcGACATATGGGTATCCGACCGTACAAATGTGAGAGCTGCGACAAGCACTTTCTCACTAGGCAAAAGCTGCAGGAACACAATTACGTACACACTGGCGAGGCGCCTCTTAAATGCAATATGTGCAATGAGACCTTCAAACGATACTCGAATCTAATTCAGCATCGAAATCGGCATCATCTTATGATCAAAAAGAAGGTGAAAGATTTCATCTGCACCACTTGTGGGGACGTCTTCCATTCCAAAAAGAAACTTGCATGGCATAAAGAGATCCATGAGAATAAACCCAAATCTTGCGTGCATTGCTCGGAGAAGTTCATTCATCTCTCAAGCTTGACCCGACACGTGAGGCGGGCGCACAACGAGCGTTTTGTGCCACAAGAAGAGCGGGATCGTGAAAATGTCGAGTGTCCTATTTGCAAGGGCATTTATTTACGCAGTTCTCTTGAGACGCATATCAAGAATCACAGCGGCGCGAAGAATTACACCTGTTCAGTGTGCGATAAAGACTTTACCACCAAGTGGAACCTTAAGCTTCATAAATGGACGCACGCTGGACGGGCCCAGAAGCCATACAAGTGCGATCTATGCAAGGGGGCATTTGTACGCGAATCGGATTATACGGCACATATGAACTCACATAAGGCAATACGACCGTATACGTGTAATTACTGCGGGGCACAGTTTATACGGAAATACAATTGTCAGCGGCATGTTAAAGAGCATGAGAAAGTAAAGACATTTAACTGCAATATATGTGGAAAGACCTTCCATCGATCCTATTATCTTAATGATCACATGCGCATTCATAGTGGGATTAGACCATTCTCGTGTCACATTTGTGGCAAGACTAGCACTACGAAGAGCAATCATAATAAGCATGTCCGAATACATCATGCTAGGGAGCCTGTCAGCACTGAAAATTAA
Protein Sequence
MEGTVVCPVCTLYLRPGMTLQSHLESHPKQKVIEALVKLHSEPPKEVAYSSLNTNVVQASQELPTQQQSWIPPTATVPSAPNGSYPGPSSGPLLPSHPVPSTQSNSTGPVIATQAGNHSFFYQQFMSSSVPQPSYVNQQYVIPMFNQPLQNPLIPGYMYQQQQMFVTSGPTMPSIMPMSTEQAPNIVEIHDDDEKNTPEFPDSPKSVILPNQEEEEDELASNERPMPELESQVEQSHISTSREEEDQQIELDKSCQTLGDDPPQLQPEVSDAMEKYDVKDNEIETSPNFITLTNHSNQVEDIVGDEAHHTFDMDGMNLILVHDFMQPSQQKPELVEPSAAEDYDYNSNASGYKYERPRILMNIGDGDDDNRDENISIDSVNIRADENMPPRGELSGQESNASDVASWSRLQYHESSSRMSTGMSTYDLLARESWEGSDASDVDGPPPYQSRDPLYEEDDDFPVYISGSSMQGIVYKCNTCTMTFMCPKERRVHQTCIHGAPASSADSPSTRDQSQGTSFQSPASDDLASQKKCNVIGSQLFKKKVKKLVIKPKPTLKETLKTETIESPFDHIFNNMMKVEDDQGTANQTKTEGSKDLILKDLGGIPLPAGVPPLPGSDKMIQPAVICVLCCAAIEDNHSLKQHQADVHDFGIDTKYKCGLCNEQFTTEPPYTEHLNVHPLECLFCGKYFYRSHNMQLHLKRHMGIRPYKCESCDKHFLTRQKLQEHNYVHTGEAPLKCNMCNETFKRYSNLIQHRNRHHLMIKKKVKDFICTTCGDVFHSKKKLAWHKEIHENKPKSCVHCSEKFIHLSSLTRHVRRAHNERFVPQEERDRENVECPICKGIYLRSSLETHIKNHSGAKNYTCSVCDKDFTTKWNLKLHKWTHAGRAQKPYKCDLCKGAFVRESDYTAHMNSHKAIRPYTCNYCGAQFIRKYNCQRHVKEHEKVKTFNCNICGKTFHRSYYLNDHMRIHSGIRPFSCHICGKTSTTKSNHNKHVRIHHAREPVSTEN

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

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