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10.1016/j.compbiomed.2022.105462 http://scihub22266oqcxt.onion/10.1016/j.compbiomed.2022.105462 35427985!8971067!35427985     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=35427985&cmd=llinks): Failed to open stream: HTTP request failed! 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Subtractive proteomics assisted therapeutic targets mining and designing ensemble vaccine against Candida auris for immune response induction |pdf=|usr=}}{{35427985}} gab.com Text Subtractive proteomics assisted therapeutic targets mining and designing ensemble vaccine against Candida auris for immune response induction JO: Comput Biol Med http://www.kidney.de/pget.php?&tw=1&pmid=35427985 #FOAvip The emergence of variants and the reports of co-infection caused by Candida auris in COVID-19 patients adds a further complication to the global pandemic situation. To date, no effective therapy is available for C. auris infections. Thus, characterization of therapeutic targets and designing effective vaccine candidates using subtractive proteomics and immune-informatics approaches is useful tool in controlling the emerging infections associated with SARS-CoV-2. In the current study, subtractive proteomics-assisted annotation of the vaccine targets was performed, which revealed seven vaccine targets. An immunoinformatic-driven approach was then employed to map protein-specific and proteome-wide immunogenic peptides (CTL, B cell, and HTL) for the design of multi-epitope vaccine candidates (MEVCs). The results demonstrated that the vaccine candidates possess strong antigenic features (>0.4 threshold score) and are classified as non-allergenic. Validation of the designed MEVCs through molecular docking, in-silico cloning, and immune simulation further demonstrated the efficacy of the vaccines by producing immune factor titers (ranging from 2500 to 16000 au/mL) i.e., IgM, IgG, IL-6, and Interferon-alpha. In conclusion, the current study provides a strong impetus in designing anti-fungal strategies against Candida auris. Twit Text FOAVip Subtractive proteomics assisted therapeutic targets mining and designing ensemble vaccine against Candida auris for immune response induction ????Comput Biol Med http://www.kidney.de/pget.php?&tw=1&pmid=35427985 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=35427985 #FOAvip English Wikipedia <ref>{{Cite pmid|35427985}}</ref> Subtractive proteomics assisted therapeutic targets mining and designing ensemble vaccine against Candida auris for immune response induction #MMPMID35427985 Khan T; Suleman M; Ali SS; Sarwar MF; Ali I; Ali L; Khan A; Rokhan B; Wang Y; Zhao R; Wei DQ Comput Biol Med 2022[Jun]; 145 (ä): 105462 PMID35427985show ga The emergence of variants and the reports of co-infection caused by Candida auris in COVID-19 patients adds a further complication to the global pandemic situation. To date, no effective therapy is available for C. auris infections. Thus, characterization of therapeutic targets and designing effective vaccine candidates using subtractive proteomics and immune-informatics approaches is useful tool in controlling the emerging infections associated with SARS-CoV-2. In the current study, subtractive proteomics-assisted annotation of the vaccine targets was performed, which revealed seven vaccine targets. An immunoinformatic-driven approach was then employed to map protein-specific and proteome-wide immunogenic peptides (CTL, B cell, and HTL) for the design of multi-epitope vaccine candidates (MEVCs). The results demonstrated that the vaccine candidates possess strong antigenic features (>0.4 threshold score) and are classified as non-allergenic. Validation of the designed MEVCs through molecular docking, in-silico cloning, and immune simulation further demonstrated the efficacy of the vaccines by producing immune factor titers (ranging from 2500 to 16000 au/mL) i.e., IgM, IgG, IL-6, and Interferon-alpha. In conclusion, the current study provides a strong impetus in designing anti-fungal strategies against Candida auris. |*COVID-19[MESH] |*Proteomics[MESH] |Candida auris[MESH] |Epitopes, B-Lymphocyte/chemistry[MESH] |Epitopes, T-Lymphocyte/chemistry[MESH] |Humans[MESH] |Immunity[MESH] |Molecular Docking Simulation[MESH] |SARS-CoV-2[MESH]Subtractive proteomics assisted therapeutic targets mining and designi(epmc).pdf DeepDyve Pubget Overpricing