precursor sequence
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Author(s):  
Y Adiguzel

AbstractAimThis study aims to predict autoimmunity-related pathological mechanisms that posses risk for individuals with certain HLA serotypes and are common to the pathogenicity of certain coronaviruses including SARS-CoV-2, based on homology to a SARS-CoV-2 peptide.MethodsCoronavirus-associated sequences, which are homologous to the SARS-CoV-2 peptide CFLGYFCTCYFGLFC, are obtained. Human peptides that have at least 7 residue matches with those coronavirus sequences, and the SARS-CoV-2 peptide, are obtained. Then, epitope pairs, which are sourced by those coronavirus and human sequences’ alignments, are identified. There, epitope pairs that are predicted to bind strongly not only to the same HLA allele with each other but also to the same HLA allele with the respective alignment of the SARS-CoV-2 peptide are selected.ResultsFollowing is the list of proteins (or regions) with predicted HLA-A*02:01 or HLA-A*24:02 epitopes, which are not only common but also homologous to the epitopes that are sourced by the SARS-CoV-2 peptide and its homologous coronavirus peptides: Immunoglobulin heavy chain junction regions, CRB1 isoform I precursor, slit homolog 2 protein, hCG1995581, hCG2028737, phospholipid phosphatase-related protein type 2. Among those, CRB1 isoform I precursor sequence with the predicted HLA-A*24:02 epitope aligns with the highest number of different coronavirus sequences.ConclusionResults imply autoimmunity risk in COVID-19 patients with HLA-A*02:01 and HLA-A*24:02 serotypes, through molecular mimicry, as a common pathogenicity risk that can be prevalent upon getting infected with certain other coronaviruses. These results can pave the way to improved risk groups’ assessment and autoimmunity treatment options, to be used in COVID-19 and its associated diseases.


2016 ◽  
Vol 10 (1) ◽  
pp. 40 ◽  
Author(s):  
Khoirina Dwi Nugrahaningtyas ◽  
Yuniawan Hidayat ◽  
Tiara Diah Saputri

<p>The preparation and characterization of bimetallic catalysts using impregnation method with a variation of concentration of precursor sequence Co and Mo metal  obtained  catalyst K 1 [Co (0.018 M) - Mo (0.037 M)/USY]. K 2 [Co (0.026 M) - Mo (0.055 M)/USY], K 3 [Co (0.035 M) - Mo (0.074 M)/USY], K 4 [Co (0.05 M) - Mo (0.11 M )/USY] and K 5 [Co (0.107 M) - Mo (0.22 M)/USY].</p><p>Character of the catalyst in terms  of crystallinity was analyzed by XRD. The result shows that there is no cristalinity damage of USY after impregnation but the amorphous cristalin structure was obtained.  Amount of metal content was analyzed by XRF and the catalyst morphology by SEM-EDS. The result shows that the higher the concentration of Co and Mo so that find the higher content of metal in catalyst of the prepared catalyst increase. K 4 shows the best characteristic of catalysts prepared in this research. Analysis of K 4 is proving that Co and Mo are presented in catalyst</p>


2016 ◽  
Vol 10 (1) ◽  
pp. 40
Author(s):  
Khoirina Dwi Nugrahaningtyas ◽  
Yuniawan Hidayat ◽  
Tiara Diah Saputri

<p>The preparation and characterization of bimetallic catalysts using impregnation method with a variation of concentration of precursor sequence Co and Mo metal  obtained  catalyst K 1 [Co (0.018 M) - Mo (0.037 M)/USY]. K 2 [Co (0.026 M) - Mo (0.055 M)/USY], K 3 [Co (0.035 M) - Mo (0.074 M)/USY], K 4 [Co (0.05 M) - Mo (0.11 M )/USY] and K 5 [Co (0.107 M) - Mo (0.22 M)/USY].</p><p>Character of the catalyst in terms  of crystallinity was analyzed by XRD. The result shows that there is no cristalinity damage of USY after impregnation but the amorphous cristalin structure was obtained.  Amount of metal content was analyzed by XRF and the catalyst morphology by SEM-EDS. The result shows that the higher the concentration of Co and Mo so that find the higher content of metal in catalyst of the prepared catalyst increase. K 4 shows the best characteristic of catalysts prepared in this research. Analysis of K 4 is proving that Co and Mo are presented in catalyst</p>


2014 ◽  
Vol 5 (5) ◽  
pp. 394-407 ◽  
Author(s):  
Zhixiu Yang ◽  
Qiang Guo ◽  
Simon Goto ◽  
Yuling Chen ◽  
Ningning Li ◽  
...  

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