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10.1016/j.imu.2020.100338 http://scihub22266oqcxt.onion/10.1016/j.imu.2020.100338 32352026!7189872!32352026     free     free     free Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Inform+Med+Unlocked 2020 ; 19 (ä): 100338 Nephropedia Template TP {{tp|p=32352026|t=2020. Epitope based vaccine prediction for SARS-COV-2 by deploying immuno-informatics approach |pdf=|usr=}}{{32352026}} gab.com Text Epitope based vaccine prediction for SARS-COV-2 by deploying immuno-informatics approach JO: Inform Med Unlocked http://www.kidney.de/pget.php?&tw=1&pmid=32352026 #FOAvip A new virus termed SARS-COV-2 (causing COVID-19 disease) can exhibit a progressive, fatal impact on individuals. The World Health Organization (WHO) has declared the spread of the virus to be a global pandemic. Currently, there are over 1 million cases and over 100,000 confirmed deaths due to the virus. Hence, prophylactic and therapeutic strategies are promptly needed. In this study we report an epitope, ITLCFTLKR, which is biochemically fit to HLA allelic proteins. We propose that this could be used as a potential vaccine candidate against SARS-COV-2. A selected putative epitope and HLA-allelic complexes show not only better binding scores, but also RMSD values in the range of 0-1 A. This epitope was found to have a 99.8% structural favorability as per Ramachandran-plot analysis. Similarly, a suitable range of IC(50) values and population coverage was obtained to represent greater validation of T-cell epitope analysis. Stability analysis using MDWeb and half-life analysis using the ProtParam tool has confirmed that this epitope is well-selected. This new methodology of epitope-based vaccine prediction is fundamental and fast in application, ad can be economically beneficial and viable. Twit Text FOAVip Epitope based vaccine prediction for SARS-COV-2 by deploying immuno-informatics approach ????Inform Med Unlocked http://www.kidney.de/pget.php?&tw=1&pmid=32352026 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32352026 #FOAvip English Wikipedia <ref>{{Cite pmid|32352026}}</ref> Epitope based vaccine prediction for SARS-COV-2 by deploying immuno-informatics approach #MMPMID32352026 Joshi A; Joshi BC; Mannan MA; Kaushik V Inform Med Unlocked 2020[]; 19 (ä): 100338 PMID32352026show ga A new virus termed SARS-COV-2 (causing COVID-19 disease) can exhibit a progressive, fatal impact on individuals. The World Health Organization (WHO) has declared the spread of the virus to be a global pandemic. Currently, there are over 1 million cases and over 100,000 confirmed deaths due to the virus. Hence, prophylactic and therapeutic strategies are promptly needed. In this study we report an epitope, ITLCFTLKR, which is biochemically fit to HLA allelic proteins. We propose that this could be used as a potential vaccine candidate against SARS-COV-2. A selected putative epitope and HLA-allelic complexes show not only better binding scores, but also RMSD values in the range of 0-1 A. This epitope was found to have a 99.8% structural favorability as per Ramachandran-plot analysis. Similarly, a suitable range of IC(50) values and population coverage was obtained to represent greater validation of T-cell epitope analysis. Stability analysis using MDWeb and half-life analysis using the ProtParam tool has confirmed that this epitope is well-selected. This new methodology of epitope-based vaccine prediction is fundamental and fast in application, ad can be economically beneficial and viable. äEpitope based vaccine prediction for SARS-COV-2 by deploying immuno-in(epmc).pdf DeepDyve Pubget Overpricing