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10.1016/j.addr.2021.02.004 http://scihub22266oqcxt.onion/10.1016/j.addr.2021.02.004 33561453!7871111!33561453     free     free     free Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Adv+Drug+Deliv+Rev 2021 ; 172 (ä): 249-274 Nephropedia Template TP {{tp|p=33561453|t=2021. Current and prospective computational approaches and challenges for developing COVID-19 vaccines |pdf=|usr=}}{{33561453}} gab.com Text Current and prospective computational approaches and challenges for developing COVID-19 vaccines JO: Adv Drug Deliv Rev http://www.kidney.de/pget.php?&tw=1&pmid=33561453 #FOAvip SARS-CoV-2, which causes COVID-19, was first identified in humans in late 2019 and is a coronavirus which is zoonotic in origin. As it spread around the world there has been an unprecedented effort in developing effective vaccines. Computational methods can be used to speed up the long and costly process of vaccine development. Antigen selection, epitope prediction, and toxicity and allergenicity prediction are areas in which computational tools have already been applied as part of reverse vaccinology for SARS-CoV-2 vaccine development. However, there is potential for computational methods to assist further. We review approaches which have been used and highlight additional bioinformatic approaches and PK modelling as in silico methods which may be useful for SARS-CoV-2 vaccine design but remain currently unexplored. As more novel viruses with pandemic potential are expected to arise in future, these techniques are not limited to application to SARS-CoV-2 but also useful to rapidly respond to novel emerging viruses. Twit Text FOAVip Current and prospective computational approaches and challenges for developing COVID-19 vaccines ????Adv Drug Deliv Rev http://www.kidney.de/pget.php?&tw=1&pmid=33561453 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33561453 #FOAvip English Wikipedia <ref>{{Cite pmid|33561453}}</ref> Current and prospective computational approaches and challenges for developing COVID-19 vaccines #MMPMID33561453 Hwang W; Lei W; Katritsis NM; MacMahon M; Chapman K; Han N Adv Drug Deliv Rev 2021[May]; 172 (ä): 249-274 PMID33561453show ga SARS-CoV-2, which causes COVID-19, was first identified in humans in late 2019 and is a coronavirus which is zoonotic in origin. As it spread around the world there has been an unprecedented effort in developing effective vaccines. Computational methods can be used to speed up the long and costly process of vaccine development. Antigen selection, epitope prediction, and toxicity and allergenicity prediction are areas in which computational tools have already been applied as part of reverse vaccinology for SARS-CoV-2 vaccine development. However, there is potential for computational methods to assist further. We review approaches which have been used and highlight additional bioinformatic approaches and PK modelling as in silico methods which may be useful for SARS-CoV-2 vaccine design but remain currently unexplored. As more novel viruses with pandemic potential are expected to arise in future, these techniques are not limited to application to SARS-CoV-2 but also useful to rapidly respond to novel emerging viruses. |Animals[MESH] |B-Lymphocytes/drug effects/immunology[MESH] |COVID-19 Vaccines/*administration & dosage/genetics/immunology[MESH] |COVID-19/genetics/immunology/*prevention & control[MESH] |Computational Biology/*methods/trends[MESH] |Drug Development/*methods/trends[MESH] |Epitopes/genetics/immunology[MESH] |Gene Expression Profiling/methods/trends[MESH] |Humans[MESH]Current and prospective computational approaches and challenges for de(epmc).pdf DeepDyve Pubget Overpricing