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.

suck abstract from ncbi


10.1016/j.ejps.2020.105375

http://scihub22266oqcxt.onion/10.1016/j.ejps.2020.105375
suck pdf from google scholar
32417398!7224663!32417398
unlimited free pdf from europmc32417398    free
PDF from PMC    free
html from PMC    free

Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=32417398&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

suck abstract from ncbi


Deprecated: Implicit conversion from float 227.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534

Deprecated: Implicit conversion from float 227.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534

Deprecated: Implicit conversion from float 227.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534

Deprecated: Implicit conversion from float 227.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534

Deprecated: Implicit conversion from float 227.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534

Deprecated: Implicit conversion from float 261.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534
pmid32417398      Eur+J+Pharm+Sci 2020 ; 151 (ä): 105375
Nephropedia Template TP

gab.com Text

Twit Text FOAVip

Twit Text #

English Wikipedia


  • High throughput and comprehensive approach to develop multiepitope vaccine against minacious COVID-19 #MMPMID32417398
  • Ojha R; Gupta N; Naik B; Singh S; Verma VK; Prusty D; Prajapati VK
  • Eur J Pharm Sci 2020[Aug]; 151 (ä): 105375 PMID32417398show ga
  • The ongoing enigmatic COVID-19 outbreak, first reported from Wuhan, China, on last day of the year 2019, which has spread to 213 countries, territories/areas till 28th April 2020, threatens hundreds of thousands human souls. This devastating viral infection has stimulated the urgent development of viable vaccine against COVID-19 across the research institutes around the globe. The World Health Organization (WHO) has also confirmed that the recent pandemic is causing Public Health Emergency of International apprehension. Moreover, the earlier two pathogenic SARS-CoV and MERS-CoV and many others yet to be identified pose a universal menace. Here, in this piece of work, we have utilized an in silico structural biology and advanced immunoinformatic strategies to devise a multi-epitope subunit vaccine against ongoing COVID-19 infection. The engineered vaccine sequence is adjuvanted with ss-3 defensin and comprised of B-cell epitopes, HTL epitopes and CTL epitopes. This is very likely that the vaccine will be able to elicit the strong immune response. Further, specific binding of the engineered vaccine and immune cell receptor TLR3 was estimated by molecular interaction studies. Strong interaction in the binding groove as well as good docking scores affirmed the stringency of engineered vaccine. The interaction is stable with minimal deviation in root-mean square deviation and root-mean-square fluctuation was confirmed by the molecular dynamics simulation experiment. The immune-simulation by C-ImmSim server, which mimics the natural immune environment, yielded more potent immune response data of B-cells, Th cells, Tc cells and IgG for vaccine. The encouraging data obtained from the various in-silico works indicated this vaccine as an effective therapeutic against COVID-19.
  • |Amino Acid Sequence[MESH]
  • |Antigens, Viral/chemistry/genetics/immunology[MESH]
  • |B-Lymphocytes/immunology[MESH]
  • |Betacoronavirus/*immunology[MESH]
  • |Binding Sites[MESH]
  • |Biomedical Engineering[MESH]
  • |COVID-19[MESH]
  • |COVID-19 Vaccines[MESH]
  • |Computational Biology[MESH]
  • |Computer Simulation[MESH]
  • |Coronavirus Infections/*immunology/prevention & control[MESH]
  • |Drug Design[MESH]
  • |Epitopes, B-Lymphocyte[MESH]
  • |Epitopes/*immunology[MESH]
  • |High-Throughput Screening Assays/*methods[MESH]
  • |Humans[MESH]
  • |Immunoglobulin G/immunology[MESH]
  • |Pandemics/prevention & control[MESH]
  • |Pneumonia, Viral/*immunology/prevention & control[MESH]
  • |Proteome[MESH]
  • |SARS-CoV-2[MESH]
  • |T-Lymphocytes/immunology[MESH]
  • |Toll-Like Receptor 3/drug effects[MESH]


  • DeepDyve
  • Pubget Overpricing
  • suck abstract from ncbi

    Linkout box