Use my Search Websuite to scan PubMed, PMCentral, Journal Hosts and Journal Archives, FullText. Kick-your-searchterm to multiple Engines kick-your-query now !>

A dictionary by aggregated review articles of nephrology, medicine and the life sciences Your one-stop-run pathway from word to the immediate pdf of peer-reviewed on-topic knowledge.

http://scihub22266oqcxt.onion/ 34060442!ä!34060442 Warning: Undefined variable $yww in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 538 Warning: Undefined variable $yww in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 538       Xi+Bao+Yu+Fen+Zi+Mian+Yi+Xue+Za+Zhi 2021 ; 37 (6): 487-494 Nephropedia Template TP {{tp|p=34060442|t=2021. Prediction of the epitopes of SARS-CoV-2 by immunoinformatics |pdf=|usr=}}{{34060442}} gab.com Text Prediction of the epitopes of SARS-CoV-2 by immunoinformatics JO: Xi Bao Yu Fen Zi Mian Yi Xue Za Zhi http://www.kidney.de/pget.php?&tw=1&pmid=34060442 #FOAvip Objective To predict the epitopes of B cells, cytotoxic T lymphocytes (CTL), and T helper (Th) cells of SARS-CoV-2 by immunoinformatics. Methods The SARS-CoV-2 protein sequences were retrieved from NCBI database and screened, and the sequences with antigenicity >/=0.5 and amino acid number >/=100 were used for epitopes prediction. The Phyre2 server was used to predict the three-dimensional (3D) structure, the GalaxyRefine system to optimize the 3D structure, and the SWISS-MODEL system to evaluate the accuracy of the optimized structure. The CTL, Th cells, and sequential B-cell antigen peptide prediction was based on the sequences of proteins, and the structural B-cell antigen peptide prediction on the 3D structures of proteins. The cytotoxic T lymphocyte (CTL) and Th cell epitopes of SARS-CoV-2 were predicted by the IEDB database. The sequential B-cell antigen peptide prediction and the structural B-cell antigen peptide prediction were performed by BepiPred-2.0: Sequential B-Cell Epitope Predictor and ElliPro-a structure-based tool for the prediction of epitopes, respectively. Results Twenty seven SARS-CoV-2 protein sequences were obtained from the NCBI database. After removing the proteins with antigenicity <0.5 and amino acid number <100, nine proteins were selected for antigen peptide prediction. Finally, 24 epitopes from CTLs, 20 epitopes from Th cells, and 12 sequential epitopes and 16 structural epitopes from B cells were obtained. Conclusion The epitopes obtained can be used for developing multi-epitope SARS-CoV-2 vaccines. Compared with epitopes that only target a single protein, multi-target epitopes have stronger immunogenicity. These epitopes have certain reference value for the development of SARS-CoV-2 vaccine. Twit Text FOAVip Prediction of the epitopes of SARS-CoV-2 by immunoinformatics ????Xi Bao Yu Fen Zi Mian Yi Xue Za Zhi http://www.kidney.de/pget.php?&tw=1&pmid=34060442 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=34060442 #FOAvip English Wikipedia <ref>{{Cite pmid|34060442}}</ref> Prediction of the epitopes of SARS-CoV-2 by immunoinformatics #MMPMID34060442 Zhao J; Mao Y; Dong R; Tong X; Zhang Q; Zha Y Xi Bao Yu Fen Zi Mian Yi Xue Za Zhi 2021[Jun]; 37 (6): 487-494 PMID34060442show ga Objective To predict the epitopes of B cells, cytotoxic T lymphocytes (CTL), and T helper (Th) cells of SARS-CoV-2 by immunoinformatics. Methods The SARS-CoV-2 protein sequences were retrieved from NCBI database and screened, and the sequences with antigenicity >/=0.5 and amino acid number >/=100 were used for epitopes prediction. The Phyre2 server was used to predict the three-dimensional (3D) structure, the GalaxyRefine system to optimize the 3D structure, and the SWISS-MODEL system to evaluate the accuracy of the optimized structure. The CTL, Th cells, and sequential B-cell antigen peptide prediction was based on the sequences of proteins, and the structural B-cell antigen peptide prediction on the 3D structures of proteins. The cytotoxic T lymphocyte (CTL) and Th cell epitopes of SARS-CoV-2 were predicted by the IEDB database. The sequential B-cell antigen peptide prediction and the structural B-cell antigen peptide prediction were performed by BepiPred-2.0: Sequential B-Cell Epitope Predictor and ElliPro-a structure-based tool for the prediction of epitopes, respectively. Results Twenty seven SARS-CoV-2 protein sequences were obtained from the NCBI database. After removing the proteins with antigenicity <0.5 and amino acid number <100, nine proteins were selected for antigen peptide prediction. Finally, 24 epitopes from CTLs, 20 epitopes from Th cells, and 12 sequential epitopes and 16 structural epitopes from B cells were obtained. Conclusion The epitopes obtained can be used for developing multi-epitope SARS-CoV-2 vaccines. Compared with epitopes that only target a single protein, multi-target epitopes have stronger immunogenicity. These epitopes have certain reference value for the development of SARS-CoV-2 vaccine. |*COVID-19[MESH] |*SARS-CoV-2[MESH] |COVID-19 Vaccines[MESH] |Epitopes, B-Lymphocyte[MESH] |Humans[MESH] Prediction of the epitopes of SARS-CoV-2 by immunoinformatics (epmc).pdf DeepDyve Pubget Overpricing