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10.1016/j.imu.2020.100394 http://scihub22266oqcxt.onion/10.1016/j.imu.2020.100394 32835079!7361115!32835079     free     free     free Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Inform+Med+Unlocked 2020 ; 20 (ä): 100394 Nephropedia Template TP {{tp|p=32835079|t=2020. A SARS-CoV-2 vaccine candidate: In-silico cloning and validation |pdf=|usr=}}{{32835079}} gab.com Text A SARS-CoV-2 vaccine candidate: In-silico cloning and validation JO: Inform Med Unlocked http://www.kidney.de/pget.php?&tw=1&pmid=32835079 #FOAvip SARS-CoV-2 is spreading globally at a rapid pace. To contain its spread and prevent further fatalities, the development of a vaccine against SARS-CoV-2 is an urgent prerequisite. Thus, in this article, by utilizing the in-silico approach, a vaccine candidate for SARS-CoV-2 has been proposed. Moreover, the effectiveness and safety measures of our proposed epitopic vaccine candidate have been evaluated by in-silico tools and servers (AllerTOP and AllergenFP servers). We observed that the vaccine candidate has no allergenicity and successfully combined with Toll-like receptor (TLR) protein to elicit an inflammatory immune response. Stable, functional mobility of the vaccine-TLR protein binding interface was confirmed by the Normal Mode Analysis. The in-silico cloning model demonstrated the efficacy of the construct vaccine along with the identified epitopes against SARS-CoV-2. Taken together, our proposed in-silico vaccine candidate has potent efficacy against COVID-19 infection, and successive research work might validate its effectiveness in in vitro and in vivo models. Twit Text FOAVip A SARS-CoV-2 vaccine candidate: In-silico cloning and validation ????Inform Med Unlocked http://www.kidney.de/pget.php?&tw=1&pmid=32835079 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32835079 #FOAvip English Wikipedia <ref>{{Cite pmid|32835079}}</ref> A SARS-CoV-2 vaccine candidate: In-silico cloning and validation #MMPMID32835079 Bhattacharya M; Sharma AR; Patra P; Ghosh P; Sharma G; Patra BC; Saha RP; Lee SS; Chakraborty C Inform Med Unlocked 2020[]; 20 (ä): 100394 PMID32835079show ga SARS-CoV-2 is spreading globally at a rapid pace. To contain its spread and prevent further fatalities, the development of a vaccine against SARS-CoV-2 is an urgent prerequisite. Thus, in this article, by utilizing the in-silico approach, a vaccine candidate for SARS-CoV-2 has been proposed. Moreover, the effectiveness and safety measures of our proposed epitopic vaccine candidate have been evaluated by in-silico tools and servers (AllerTOP and AllergenFP servers). We observed that the vaccine candidate has no allergenicity and successfully combined with Toll-like receptor (TLR) protein to elicit an inflammatory immune response. Stable, functional mobility of the vaccine-TLR protein binding interface was confirmed by the Normal Mode Analysis. The in-silico cloning model demonstrated the efficacy of the construct vaccine along with the identified epitopes against SARS-CoV-2. Taken together, our proposed in-silico vaccine candidate has potent efficacy against COVID-19 infection, and successive research work might validate its effectiveness in in vitro and in vivo models. äA SARS-CoV-2 vaccine candidate: In-silico cloning and validation (epmc).pdf DeepDyve Pubget Overpricing