Basic Information

Gene Symbol
-
Assembly
GCA_949128085.1
Location
OX421884.1:9277537-9285496[-]

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 0.00031 0.056 15.5 0.7 1 23 164 186 164 186 0.98
2 16 0.0003 0.054 15.5 5.4 1 23 191 213 191 213 0.97
3 16 7e-05 0.013 17.5 0.6 2 23 220 241 219 241 0.96
4 16 0.21 39 6.5 1.5 2 20 248 266 247 268 0.92
5 16 3.3e-05 0.006 18.5 0.1 1 23 275 297 275 297 0.98
6 16 8.1e-05 0.015 17.3 4.5 1 23 481 503 481 503 0.97
7 16 9.7e-05 0.018 17.1 5.8 2 23 532 553 531 553 0.97
8 16 0.0039 0.72 12.0 1.9 1 23 559 581 559 581 0.98
9 16 0.00096 0.18 13.9 0.3 1 19 587 605 587 606 0.95
10 16 0.00056 0.1 14.7 0.1 1 23 615 637 615 637 0.95
11 16 7.6e-05 0.014 17.4 5.2 1 21 777 797 777 799 0.96
12 16 7.5e-05 0.014 17.4 0.3 1 23 800 822 800 822 0.95
13 16 9.9e-05 0.018 17.0 0.1 2 21 828 847 827 848 0.94
14 16 0.037 6.9 8.9 0.1 9 23 855 869 853 869 0.93
15 16 5e-06 0.00092 21.1 1.1 1 23 875 897 875 897 0.99
16 16 0.017 3.1 10.0 1.6 2 23 903 925 902 925 0.95

Sequence Information

Coding Sequence
ATGGAATGTGCACAAATAGATTTAAACAACATATGTAGAACCTGTAAAGGTGAGTCCCCTGAAATGAAATCCCTATACTATAGAGATTCGGAAAGGGGTAAGGAGAATCCCCGTTTGGACGAGATGCTAATGACATTTACGTCTCTACAGATTAATAATGATGATGGATTGCCAAAGTTAATATGTCTGCCTTGTCACGTGCTGTTAAAAAGTGCCTATGCGTTTAAGCAGCAGTGTGAAAAGGCAGATGTATCTTTAAGGGAGTATTTGGAGGATTTAAAGAAGGCAACCATGACCGAAGACAATCTTTTGGCCGATTTGGAATATTTAACAAAACTCCTAGATGATAATAGTTCAGAGCTTGAGCAGGTTGATGCGGCCaaggataaaaataaatctgaaaagGTTAATGTTGATCCTAAAATTTCCACAAATGGAGATGTTGAAAAGGATATGGATTCTTCGCAGGTATTTGACGATACAATTATTTATGAGTGCAAAACTTGCTCCAAAGATTTCTTCACTTTAGAAGGGTTAAAGATCCATGAAAGAATTCACTGCGATAACATTTTCAGTTGCAAACAATGTGATAAAACCTATACAACATCACAGCAACTCCACACACACAAATTATCCCACTTGCGGATTAAAGCCTGGGTGTGTAAGATATGTAATAAGACGCTAAcgaaattagaaaatttaaagagtCACTTGATAAGACACCTTAAAAAGACACTTTTGAATTGCTTAAAATGCGGTAGAAGATTTAATTGTGCCCGGCATCTCGAAGAGCACATTACACTGTGTAAAGGAGAGACGGTTTATATTTGTGATATTTGTAACGAAGCTTTCAATCAACAAGACAGCATGGAGGTGCACAGAAAGATACATCAGCATAAGTTTCCTGCGTTGCCCACATTGGAAAATCTAGATAATATCAATATCGTTGAATATTATATGGAAATGGATTATGATGAAAAAACTATGTTTACTAATGAATCAGAGGAAGTAGAGGAGGAAGATTCTGATGTTACAGAAGCAACTGTGGAGCCAGTCGTTGGAATCCTAGAAAATCCTGATCAAGCGATAGCTCAATTAATTAATGAGATTCATGTGCAGCAGGATCCGTCTGAGATGTTGCTGGAAAAAACGAAAAGTGAACAACAGATTCATAGAGCATGTGAAAATGCTAATATTGAGGCTGAtaacgccaacgattttgattTTCATAACAGCACACATTCTGAATGTTTACCTAAGAAACATGCTTCACCGAAAATAAAGAGAGGTAAAAGAAGACGACGTAAGCGCCAGACAGACGGAAGACCTAGAAAACGTCCTCCACTTAAGGACAGAATCAAAACAAAACCCAAACCAAATTCTCTAAAAAGTACGTTGGAGTGGCATACCGATCAGCAACACGACAACGGATTGAAATTCCATGAATGCGAAACGTGTAATAAGAAATTTAGCAGATTAATTAGCCTTAAACGGCATAAATCAACGCATTTGAAAACCAAACCATTTGTAAGCTCCCAAAATTGCACAAAGGGGTTAAAGCTCGATGAAGGAATTAATTCTGAGAAAACTTCCAGGTGCAAACAATGTGGTAAATCCTATACAAAACCACACCATCTTTTTAAACACGAATTAACCCATATTAAGCCTAAATTCTACATATGCAAGATATGTAATAAGCCGATAATAAAATTGGATCGTTTAAAGCATCACTTAAAAAAACACCTTAAAGAGAAACCTTTCAATTGCTTAAAATGCGGTAGAGGATTTATCCGTGCTAGCGATTTCAAAACCCACGTTCCACGGTGCAAAGGCCACAAAGTTTATATTTGCGATATTTGCACTGAAGCTTTCAATCGCCAAGACACTATGGAGGTGCACAGAGAGGCGCATGAGAATAAGTTTCCTGTGTTACCCACGATGGACAATCTAGATAATGTCTTAGAATATTATACGGGGATTGATTACGATCAAAATTCTACATTTACCGAAGAATTGGAGAGGGAGGAAGATTTAAATGTTACAGAAGAGAATGTTAAATCGGAAGTTGAACTTTTGGAAAATCAGGAACAAGTGAAAATGGACGAGATAGCTCAGATAACTAATGAGATTCATATGGCGGAGAAACCATCCGATATGTTACTGGAAAAAGCGAAAAGTGCAGAAGAGATTAACAGGGATTGCGAAGATATGGATATTGCGGCTGATAACGTCAACGATTTTGATTCTCAGAATAACGTTGCCTTTGAGTATGTGAGTGTACCGATGAAGCAACTTTCACCTGTGAAAAGGCATTTGCCACAGAAAAGATATCGGTGTGAGACATGCGAGAAGGCGTACATTAGCAAGTCGCATTTAACCAGACATATGAAATGCCACTTTTTGTGTTCCCAGTGTGGGCAGATGTTTATTCGCTATGATCAATTGGTGCTTCACATAATGAAGCATCAAGGAGAGACATTGGAATGTAAATTCTGTGGGAAGGTCTTTTTTCGAGTATCGGAGTTGCTGGTGCATCAGAGGATTTGCAATATTTCCAAAATAGAATTTGTGACACCCAGCAAATTAGAAGTTCATATGAGGAGACATAGGGGAGAGAAACCGTACCGCTGCGCATATTGTGATGCTGCTTTTACTAATAATAGTACCTTGAAGATTCATTTCCGGAGACACACGGGggagaaattacaatgcaataTGTGCCCACGGAAATATTGGACAGAGAGTGCATTAAACCATCACAAACGACAATTGCATGgtTTAACCTTTGTCGGTAATAGAAGGCAGGTGAAAAAAGTGCGCAAAATCATTCCCGATGCTGTAACGGTTGATGCCTTAaaaatgaacaataaaataaaaactgaagaTGATAGCAGAATAGAAAATGCGCACACACAAGGTTTGACAGTAACTGAAGATATTAGATGTGCGCCCGGAAAATATCAATGTTAA
Protein Sequence
MECAQIDLNNICRTCKGESPEMKSLYYRDSERGKENPRLDEMLMTFTSLQINNDDGLPKLICLPCHVLLKSAYAFKQQCEKADVSLREYLEDLKKATMTEDNLLADLEYLTKLLDDNSSELEQVDAAKDKNKSEKVNVDPKISTNGDVEKDMDSSQVFDDTIIYECKTCSKDFFTLEGLKIHERIHCDNIFSCKQCDKTYTTSQQLHTHKLSHLRIKAWVCKICNKTLTKLENLKSHLIRHLKKTLLNCLKCGRRFNCARHLEEHITLCKGETVYICDICNEAFNQQDSMEVHRKIHQHKFPALPTLENLDNINIVEYYMEMDYDEKTMFTNESEEVEEEDSDVTEATVEPVVGILENPDQAIAQLINEIHVQQDPSEMLLEKTKSEQQIHRACENANIEADNANDFDFHNSTHSECLPKKHASPKIKRGKRRRRKRQTDGRPRKRPPLKDRIKTKPKPNSLKSTLEWHTDQQHDNGLKFHECETCNKKFSRLISLKRHKSTHLKTKPFVSSQNCTKGLKLDEGINSEKTSRCKQCGKSYTKPHHLFKHELTHIKPKFYICKICNKPIIKLDRLKHHLKKHLKEKPFNCLKCGRGFIRASDFKTHVPRCKGHKVYICDICTEAFNRQDTMEVHREAHENKFPVLPTMDNLDNVLEYYTGIDYDQNSTFTEELEREEDLNVTEENVKSEVELLENQEQVKMDEIAQITNEIHMAEKPSDMLLEKAKSAEEINRDCEDMDIAADNVNDFDSQNNVAFEYVSVPMKQLSPVKRHLPQKRYRCETCEKAYISKSHLTRHMKCHFLCSQCGQMFIRYDQLVLHIMKHQGETLECKFCGKVFFRVSELLVHQRICNISKIEFVTPSKLEVHMRRHRGEKPYRCAYCDAAFTNNSTLKIHFRRHTGEKLQCNMCPRKYWTESALNHHKRQLHGLTFVGNRRQVKKVRKIIPDAVTVDALKMNNKIKTEDDSRIENAHTQGLTVTEDIRCAPGKYQC

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

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