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.

10.1016/j.addr.2021.01.007 http://scihub22266oqcxt.onion/10.1016/j.addr.2021.01.007 33465451!7832442!33465451     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=33465451&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 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       Adv+Drug+Deliv+Rev 2021 ; 171 (ä): 29-47 Nephropedia Template TP {{tp|p=33465451|t=2021. In silico T cell epitope identification for SARS-CoV-2: Progress and perspectives |pdf=|usr=}}{{33465451}} gab.com Text In silico T cell epitope identification for SARS-CoV-2: Progress and perspectives JO: Adv Drug Deliv Rev http://www.kidney.de/pget.php?&tw=1&pmid=33465451 #FOAvip Growing evidence suggests that T cells may play a critical role in combating severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Hence, COVID-19 vaccines that can elicit a robust T cell response may be particularly important. The design, development and experimental evaluation of such vaccines is aided by an understanding of the landscape of T cell epitopes of SARS-CoV-2, which is largely unknown. Due to the challenges of identifying epitopes experimentally, many studies have proposed the use of in silico methods. Here, we present a review of the in silico methods that have been used for the prediction of SARS-CoV-2 T cell epitopes. These methods employ a diverse set of technical approaches, often rooted in machine learning. A performance comparison is provided based on the ability to identify a specific set of immunogenic epitopes that have been determined experimentally to be targeted by T cells in convalescent COVID-19 patients, shedding light on the relative performance merits of the different approaches adopted by the in silico studies. The review also puts forward perspectives for future research directions. Twit Text FOAVip In silico T cell epitope identification for SARS-CoV-2: Progress and perspectives ????Adv Drug Deliv Rev http://www.kidney.de/pget.php?&tw=1&pmid=33465451 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33465451 #FOAvip English Wikipedia <ref>{{Cite pmid|33465451}}</ref> In silico T cell epitope identification for SARS-CoV-2: Progress and perspectives #MMPMID33465451 Sohail MS; Ahmed SF; Quadeer AA; McKay MR Adv Drug Deliv Rev 2021[Apr]; 171 (ä): 29-47 PMID33465451show ga Growing evidence suggests that T cells may play a critical role in combating severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Hence, COVID-19 vaccines that can elicit a robust T cell response may be particularly important. The design, development and experimental evaluation of such vaccines is aided by an understanding of the landscape of T cell epitopes of SARS-CoV-2, which is largely unknown. Due to the challenges of identifying epitopes experimentally, many studies have proposed the use of in silico methods. Here, we present a review of the in silico methods that have been used for the prediction of SARS-CoV-2 T cell epitopes. These methods employ a diverse set of technical approaches, often rooted in machine learning. A performance comparison is provided based on the ability to identify a specific set of immunogenic epitopes that have been determined experimentally to be targeted by T cells in convalescent COVID-19 patients, shedding light on the relative performance merits of the different approaches adopted by the in silico studies. The review also puts forward perspectives for future research directions. |*Computer Simulation/trends[MESH] |Animals[MESH] |COVID-19 Vaccines/administration & dosage/immunology/*metabolism[MESH] |COVID-19/immunology/*metabolism/prevention & control[MESH] |Epitopes, T-Lymphocyte/immunology/*metabolism[MESH] |Humans[MESH]In silico T cell epitope identification for SARS-CoV-2: Progress and (epmc).pdf DeepDyve Pubget Overpricing