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A novel virtual screening procedure identifies Pralatrexate as inhibitor of SARS-CoV-2 RdRp and it reduces viral replication in vitro
- Source :
- PLoS Computational Biology, Vol 16, Iss 12, p e1008489 (2020), PLoS Computational Biology
- Publication Year :
- 2020
- Publisher :
- Public Library of Science (PLoS), 2020.
-
Abstract
- The spread of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus poses serious threats to the global public health and leads to worldwide crisis. No effective drug or vaccine is readily available. The viral RNA-dependent RNA polymerase (RdRp) is a promising therapeutic target. A hybrid drug screening procedure was proposed and applied to identify potential drug candidates targeting RdRp from 1906 approved drugs. Among the four selected market available drug candidates, Pralatrexate and Azithromycin were confirmed to effectively inhibit SARS-CoV-2 replication in vitro with EC50 values of 0.008μM and 9.453 μM, respectively. For the first time, our study discovered that Pralatrexate is able to potently inhibit SARS-CoV-2 replication with a stronger inhibitory activity than Remdesivir within the same experimental conditions. The paper demonstrates the feasibility of fast and accurate anti-viral drug screening for inhibitors of SARS-CoV-2 and provides potential therapeutic agents against COVID-19.<br />Author summary Currently, a novel coronavirus called SARS-COV-2 is spreading across many parts of the world. Unfortunately, there is still a lack of effective drugs against the virus. Additionally, it usually takes much longer time to develop a new drug using traditional methods. Thus, it is now better to rely on some alternative methods to develop drugs that can treat such a disease effectively. In this paper, we have proposed a deep learning and molecular dynamics simulation based hybrid drug screening procedure for identifying potential drug candidates targeting RdRp from 1906 market available drugs. Our screening have successfully identified a FDA-approved drug called Pralatrexate that strongly inhibits the replication of 2019-nCoV in vitro with EC50 values of 0.008μM. This work demonstrated the feasibility of accurate virtual drug screening for inhibitors of SARS-CoV-2 and provides potential therapeutic agents against COVID-19.
- Subjects :
- 0301 basic medicine
RNA viruses
Viral Diseases
Pralatrexate
Coronaviruses
Cell Lines
viruses
Drug Evaluation, Preclinical
Azithromycin
Molecular Dynamics
Virus Replication
Biochemistry
chemistry.chemical_compound
0302 clinical medicine
Computational Chemistry
Medical Conditions
RNA polymerase
Chlorocebus aethiops
Biochemical Simulations
Drug Interactions
Biology (General)
Pathology and laboratory medicine
Free Energy
media_common
Ecology
Physics
Biological sciences [Science]
Medical microbiology
Aminopterin
Drug repositioning
Chemistry
Infectious Diseases
Computational Theory and Mathematics
030220 oncology & carcinogenesis
Modeling and Simulation
Viruses
Physical Sciences
Thermodynamics
Biological Cultures
SARS CoV 2
Pathogens
medicine.drug
Research Article
Drug
SARS coronavirus
QH301-705.5
media_common.quotation_subject
Molecular Dynamics Simulation
Research and Analysis Methods
Microbiology
Antiviral Agents
Virus
03 medical and health sciences
Cellular and Molecular Neuroscience
Deep Learning
Genetics
medicine
Animals
Computer Simulation
Molecular Biology
Vero Cells
Ecology, Evolution, Behavior and Systematics
Medicine and health sciences
Pharmacology
Virtual screening
Drug Screening
Biology and life sciences
business.industry
SARS-CoV-2
Organisms
Viral pathogens
Drug Repositioning
Computational Biology
Covid 19
RNA-Dependent RNA Polymerase
Virology
Microbial pathogens
COVID-19 Drug Treatment
030104 developmental biology
Viral replication
chemistry
Vero cell
business
Subjects
Details
- Language :
- English
- ISSN :
- 15537358
- Volume :
- 16
- Issue :
- 12
- Database :
- OpenAIRE
- Journal :
- PLoS Computational Biology
- Accession number :
- edsair.doi.dedup.....9534c6c0a186834763156186718bbfe9