Virtual screening for SARS-CoV protease based on KZ7088 pharmacophore points

S Sirois, DQ Wei, Q Du, KC Chou - Journal of chemical information …, 2004 - ACS Publications
Pharmacophore modeling can provide valuable insight into ligand− receptor interactions. It
can also be used in 3D (dimensional) database searching for potentially finding biologically …

SARS‐CoV protease inhibitors design using virtual screening method from natural products libraries

B Liu, J Zhou - Journal of computational chemistry, 2005 - Wiley Online Library
Two natural products databases, the marine natural products database (MNPD) and the
traditional Chinese medicines database (TCMD), were used to find novel structures of potent …

Virtual screening identification of novel severe acute respiratory syndrome 3C-like protease inhibitors and in vitro confirmation

TTH Nguyen, HJ Ryu, SH Lee, S Hwang… - Bioorganic & medicinal …, 2011 - Elsevier
Abstract The 3C-like protease (3CL pro) of severe acute respiratory syndrome associated
coronavirus (SARS-CoV) is vital for SARS-CoV replication and is a promising drug target …

Discovery of a novel family of SARS-CoV protease inhibitors by virtual screening and 3D-QSAR studies

KC Tsai, SY Chen, PH Liang, IL Lu… - Journal of medicinal …, 2006 - ACS Publications
The severe acute respiratory syndrome-associated coronavirus (SARS-CoV) 3C-like
protease (3CLpro or Mpro) is an attractive target for the development of anti-SARS drugs …

Virtual screening of novel noncovalent inhibitors for SARS-CoV 3C-like proteinase

Z Liu, C Huang, K Fan, P Wei, H Chen… - Journal of chemical …, 2005 - ACS Publications
The SARS coronavirus 3C-like proteinase is considered as a potential drug design target for
the treatment of severe acute respiratory syndrome (SARS). Owing to the lack of available …

Deep learning model for virtual screening of novel 3C-like protease enzyme inhibitors against SARS coronavirus diseases

M Kumari, N Subbarao - Computers in Biology and Medicine, 2021 - Elsevier
In the context of the recently emerging COVID-19 pandemic, we developed a deep learning
model that can be used to predict the inhibitory activity of 3CLpro in severe acute respiratory …

Inhibitor design for SARS coronavirus main protease based on “distorted key theory”

QS Du, H Sun, KC Chou - Medicinal Chemistry, 2007 - ingentaconnect.com
In order to find effective peptide inhibitors against SARS CoV Mpro, an analysis was
performed for 11 oligopeptides that can be cleaved by the SARS coronavirus main protease …

Discovering potent inhibitors against the Mpro of the SARS-CoV-2. A medicinal chemistry approach

A Mehmood, S Nawab, Y Wang, AC Kaushik… - Computers in Biology …, 2022 - Elsevier
The global pandemic caused by a single-stranded RNA (ssRNA) virus known as the severe
acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is still at its peak, with new cases …

Integrated bioinformatics–cheminformatics approach toward locating pseudo‐potential antiviral marine alkaloids against SARS‐CoV‐2‐Mpro

SS Swain, SR Singh, A Sahoo… - Proteins: Structure …, 2022 - Wiley Online Library
The emergence of the severe acute respiratory syndrome coronavirus‐2 (SARS‐CoV‐2)
with the most contagious variants, alpha (B. 1.1. 7), beta (B. 1.351), delta (B. 1.617. 2), and …

QSAR modeling and pharmacoinformatics of SARS coronavirus 3C-like protease inhibitors

AA Ishola, O Adedirin, T Joshi, S Chandra - Computers in biology and …, 2021 - Elsevier
The search for effective treatment against novel coronavirus (COVID-19) remains a global
challenge due to controversies on available vaccines. In this study, data of SARS …