2022
DOI: 10.1016/j.medidd.2022.100146
|View full text |Cite
|
Sign up to set email alerts
|

Deciphering antiviral efficacy of malaria box compounds against malaria exacerbating viral pathogens- Epstein Barr virus and SARS-CoV-2, an in silico study

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

0
11
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
7

Relationship

1
6

Authors

Journals

citations
Cited by 17 publications
(14 citation statements)
references
References 63 publications
0
11
0
Order By: Relevance
“…Nowadays, targeted drug repurposing represents a very useful strategy to identify libraries of pre-existing molecules or approved drugs that could prevent COVID-19 [ 60 , 61 ].…”
Section: Discussionmentioning
confidence: 99%
“…Nowadays, targeted drug repurposing represents a very useful strategy to identify libraries of pre-existing molecules or approved drugs that could prevent COVID-19 [ 60 , 61 ].…”
Section: Discussionmentioning
confidence: 99%
“…3.13.3 Molecular dynamics simulation. Recent years have seen a significant increase in the application of molecular dynamic (MD) simulation for a better understanding of the structure, mutation, dynamic behavior of protein 92 and protein-ligand interaction. 93 The time-dependent behavior of a system is precisely recorded by this simulation analysis.…”
Section: Inhibition Properties Of Coumarin Derivatives On the Fibrill...mentioning
confidence: 99%
“…32 Recent computational studies were conducted to decipher the antiviral properties of malaria box compounds against SARS-CoV-2 and Epstein-Barr virus. 33 Molecular dynamics (MD) simulations supported the notion that phytochemicals such as 26-deoxyactein, 25-O-anhydrocimigenol 3-O-β-D-xylopyranoside, tomentosolic acid, timosaponin A-I, shizukaol A, limonin, 25-O-anhydrocimigenol 3-Oα-l-arabinopyranoside, and asperagenin potentially target the catalytic sites of the nsp13, nsp14, and nsp15 proteins. 34 In silico methods are very useful in modeling epidemiology-based data, identifying targeted therapies for novel drug design, repurposing drugs, predicting vaccine epitopes, and formulating diagnostic models for COVID-19.…”
mentioning
confidence: 94%
“…Compounds derived from Curcuma longa exhibited more effective binding to the spike protein's S1 domain than the compound VE607 and to the RNA‐dependent RNA polymerase (RdRp) protein than ribavirin and remdesivir 32 . Recent computational studies were conducted to decipher the antiviral properties of malaria box compounds against SARS‐CoV‐2 and Epstein–Barr virus 33 . Molecular dynamics (MD) simulations supported the notion that phytochemicals such as 26‐deoxyactein, 25‐ O ‐anhydrocimigenol 3‐ O ‐β‐ d ‐xylopyranoside, tomentosolic acid, timosaponin A–I, shizukaol A, limonin, 25‐ O ‐anhydrocimigenol 3‐ O ‐α‐l‐arabinopyranoside, and asperagenin potentially target the catalytic sites of the nsp13, nsp14, and nsp15 proteins 34 .…”
Section: Introductionmentioning
confidence: 99%