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


10.1021/acsomega.0c03682

http://scihub22266oqcxt.onion/10.1021/acsomega.0c03682
suck pdf from google scholar
33134697!7571315!33134697
unlimited free pdf from europmc33134697    free
PDF from PMC    free
html from PMC    free

suck abstract from ncbi

pmid33134697
Nephropedia Template TP

gab.com Text

Twit Text FOAVip

Twit Text #

English Wikipedia


  • Quantitative Structure-Activity Relationship Machine Learning Models and their Applications for Identifying Viral 3CLpro- and RdRp-Targeting Compounds as Potential Therapeutics for COVID-19 and Related Viral Infections #MMPMID33134697
  • Ivanov J; Polshakov D; Kato-Weinstein J; Zhou Q; Li Y; Granet R; Garner L; Deng Y; Liu C; Albaiu D; Wilson J; Aultman C
  • ACS Omega 2020[Oct]; 5 (42): 27344-27358 PMID33134697show ga
  • In response to the ongoing COVID-19 pandemic, there is a worldwide effort being made to identify potential anti-SARS-CoV-2 therapeutics. Here, we contribute to these efforts by building machine-learning predictive models to identify novel drug candidates for the viral targets 3 chymotrypsin-like protease (3CLpro) and RNA-dependent RNA polymerase (RdRp). Chemist-curated training sets of substances were assembled from CAS data collections and integrated with curated bioassay data. The best-performing classification models were applied to screen a set of FDA-approved drugs and CAS REGISTRY substances that are similar to, or associated with, antiviral agents. Numerous substances with potential activity against 3CLpro or RdRp were found, and some were validated by published bioassay studies and/or by their inclusion in upcoming or ongoing COVID-19 clinical trials. This study further supports that machine learning-based predictive models may be used to assist the drug discovery process for COVID-19 and other diseases.
  • ä


  • DeepDyve
  • Pubget Overpricing
  • suck abstract from ncbi

    27344 42.5 2020