In silico prediction of SARS-CoV-2 main protease and polymerase inhibitors: 3D-Pharmacophore modelling-Reference-Cited by-同舟云学术

In silico prediction of SARS-CoV-2 main protease and polymerase inhibitors: 3D-Pharmacophore modelling

Published:2021-02-18 Issue: Volume: Page:1-18
ISSN:0739-1102
Container-title:Journal of Biomolecular Structure and Dynamics
language:en
Short-container-title:Journal of Biomolecular Structure and Dynamics

Author:

Mosayebnia Mona¹^ORCID,Hajiagha Bozorgi Atefeh²^ORCID,Rezaeianpour Maliheh³^ORCID,Kobarfard Farzad¹^ORCID

Affiliation:

1. Department of Radiopharmacy and Pharmaceutical Chemistry, School of Pharmacy, Shahid Beheshti University of Medical Sciences, Tehran, Iran

2. Department of Medicinal Chemistry, Faculty of Pharmacy, Alborz University of Medical Sciences, Karaj, Iran

3. Chronic Respiratory Diseases Research Center, National Research Institute of Tuberclosis and Lung Diseases (NRTLD), Shahid Beheshti University of Medical sciences, Tehran, Iran

Publisher

Informa UK Limited

Subject

Molecular Biology,General Medicine,Structural Biology

Link

https://www.tandfonline.com/doi/pdf/10.1080/07391102.2021.1886991

Reference53 articles.

1. Preliminary Identification of Potential Vaccine Targets for the COVID-19 Coronavirus (SARS-CoV-2) Based on SARS-CoV Immunological Studies

2. A Trial of Lopinavir–Ritonavir in Adults Hospitalized with Severe Covid-19

3. Merits and pitfalls of conventional and covalent docking in identifying new hydroxyl aryl aldehyde like compounds as human IRE1 inhibitors

4. Genomic characterization of the 2019 novel human-pathogenic coronavirus isolated from a patient with atypical pneumonia after visiting Wuhan

5. Interspecies transmission and emergence of novel viruses: lessons from bats and birds

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