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


suck pdf from google scholar
unlimited free pdf from europmc33413085    free
PDF from PMC    free
html from PMC    free

suck abstract from ncbi

Nephropedia Template TP Text

Twit Text FOAVip

Twit Text #

English Wikipedia

  • H2V: a database of human genes and proteins that respond to SARS-CoV-2, SARS-CoV, and MERS-CoV infection #MMPMID33413085
  • Zhou N; Bao J; Ning Y
  • BMC Bioinformatics 2021[Jan]; 22 (1): 18 PMID33413085show ga
  • BACKGROUND: The ongoing global COVID-19 pandemic is caused by SARS-CoV-2, a novel coronavirus first discovered at the end of 2019. It has led to more than 50 million confirmed cases and more than 1 million deaths across 219 countries as of 11 November 2020, according to WHO statistics. SARS-CoV-2, SARS-CoV, and MERS-CoV are similar. They are highly pathogenic and threaten public health, impair the economy, and inflict long-term impacts on society. No drug or vaccine has been approved as a treatment for these viruses. Efforts to develop antiviral measures have been hampered by the insufficient understanding of how the human body responds to viral infections at the cellular and molecular levels. RESULTS: In this study, journal articles and transcriptomic and proteomic data surveying coronavirus infections were collected. Response genes and proteins were then identified by differential analyses comparing gene/protein levels between infected and control samples. Finally, the H2V database was created to contain the human genes and proteins that respond to SARS-CoV-2, SARS-CoV, and MERS-CoV infection. CONCLUSIONS: H2V provides molecular information about the human response to infection. It can be a powerful tool to discover cellular pathways and processes relevant for viral pathogenesis to identify potential drug targets. It is expected to accelerate the process of antiviral agent development and to inform preparations for potential future coronavirus-related emergencies. The database is available at: .
  • |*Databases, Genetic[MESH]
  • |*Databases, Protein[MESH]
  • |*User-Computer Interface[MESH]
  • |COVID-19/genetics/*metabolism/pathology/virology[MESH]
  • |Coronavirus Infections/genetics/*metabolism/pathology/virology[MESH]
  • |Humans[MESH]
  • |Middle East Respiratory Syndrome Coronavirus/physiology[MESH]
  • |Proteomics[MESH]
  • |SARS-CoV-2/physiology[MESH]
  • |Severe Acute Respiratory Syndrome/genetics/*metabolism/pathology/virology[MESH]
  • |Severe acute respiratory syndrome-related coronavirus/physiology[MESH]

  • DeepDyve
  • Pubget Overpricing
  • suck abstract from ncbi

    18 1.22 2021