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10.1016/j.compbiomed.2020.104166 http://scihub22266oqcxt.onion/10.1016/j.compbiomed.2020.104166 33383528!7837166!33383528     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=33383528&cmd=llinks): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 215 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Comput+Biol+Med 2021 ; 129 (ä): 104166 Nephropedia Template TP {{tp|p=33383528|t=2021. Identification and computational analysis of mutations in SARS-CoV-2 |pdf=|usr=}}{{33383528}} gab.com Text Identification and computational analysis of mutations in SARS-CoV-2 JO: Comput Biol Med http://www.kidney.de/pget.php?&tw=1&pmid=33383528 #FOAvip SARS-CoV-2 infection has become a worldwide pandemic and is spreading rapidly to people across the globe. To combat the situation, vaccine design is the essential solution. Mutation in the virus genome plays an important role in limiting the working life of a vaccine. In this study, we have identified several mutated clusters in the structural proteins of the virus through our novel 2D Polar plot and q(R) characterization descriptor. We have also studied several biochemical properties of the proteins to explore the dynamics of evolution of these mutations. This study would be helpful to understand further new mutations in the virus and would facilitate the process of designing a sustainable vaccine against the deadly virus. Twit Text FOAVip Identification and computational analysis of mutations in SARS-CoV-2 ????Comput Biol Med http://www.kidney.de/pget.php?&tw=1&pmid=33383528 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33383528 #FOAvip English Wikipedia <ref>{{Cite pmid|33383528}}</ref> Identification and computational analysis of mutations in SARS-CoV-2 #MMPMID33383528 Dey T; Chatterjee S; Manna S; Nandy A; Basak SC Comput Biol Med 2021[Feb]; 129 (ä): 104166 PMID33383528show ga SARS-CoV-2 infection has become a worldwide pandemic and is spreading rapidly to people across the globe. To combat the situation, vaccine design is the essential solution. Mutation in the virus genome plays an important role in limiting the working life of a vaccine. In this study, we have identified several mutated clusters in the structural proteins of the virus through our novel 2D Polar plot and q(R) characterization descriptor. We have also studied several biochemical properties of the proteins to explore the dynamics of evolution of these mutations. This study would be helpful to understand further new mutations in the virus and would facilitate the process of designing a sustainable vaccine against the deadly virus. |*Computational Biology[MESH] |*Mutation[MESH] |Algorithms[MESH] |Genes, Viral[MESH] |Quantitative Structure-Activity Relationship[MESH]Identification and computational analysis of mutations in SARS-CoV-2 (epmc).pdf DeepDyve Pubget Overpricing