Javascript must be enabled to continue!
Screening of terpenoids as potential therapeutics against Zaire ebolavirus infection through pharmacophore-based drug design
View through CrossRef
Backgroud:
Ebola virus disease (EVD) has spread to various countries in the world and has caused many deaths. Five different virus species can cause EVD, but the most virulent is
Zaire ebolavirus
(EBOV). The genome of EBOV includes seven genes that encode proteins playing essential roles in the virus lifecycle. Among these proteins, VP24 plays a vital role in the inhibition of the host cells’ immune system. Therefore, VP24 is a potential target for EVD therapy. In the present study, a potential inhibitor of EBOV VP24 activity was identified through pharmacophore-based drug design.
Methods:
This research was a
in silico
study, using pharmacophore based molecular docking simulation to obtain inhibitor candidates.
Result:
Terpenoids were used as VP24 inhibitor candidates. In particular, 55,979 terpenoids were obtained from the PubChem database. An initial screening based on the toxicity prediction test was performed with DataWarrior software: 3,353 ligands were shown to have a favorable toxicity profile, but only 1,375 among them had suitable pharmacophore features. These ligands were used for pharmacophore-based rigid and flexible molecular docking simulations with PDB ID: 4M0Q, chosen as the crystal structure of EBOV VP24. Six ligands predicted to have strong molecular interactions with EBOV VP24 underwent pharmacological property analysis through various software packages, including DataWarrior, SwissADME, admetSAR, pkCSM, and Toxtree.
Conclusions:
Taxumairol V was identified as the best candidate for EVD drug therapy via EBOV VP24 inhibition based on its molecular properties, predicted molecular interactions with the target molecule, and predicted pharmacological properties.
Title: Screening of terpenoids as potential therapeutics against Zaire ebolavirus infection through pharmacophore-based drug design
Description:
Backgroud:
Ebola virus disease (EVD) has spread to various countries in the world and has caused many deaths.
Five different virus species can cause EVD, but the most virulent is
Zaire ebolavirus
(EBOV).
The genome of EBOV includes seven genes that encode proteins playing essential roles in the virus lifecycle.
Among these proteins, VP24 plays a vital role in the inhibition of the host cells’ immune system.
Therefore, VP24 is a potential target for EVD therapy.
In the present study, a potential inhibitor of EBOV VP24 activity was identified through pharmacophore-based drug design.
Methods:
This research was a
in silico
study, using pharmacophore based molecular docking simulation to obtain inhibitor candidates.
Result:
Terpenoids were used as VP24 inhibitor candidates.
In particular, 55,979 terpenoids were obtained from the PubChem database.
An initial screening based on the toxicity prediction test was performed with DataWarrior software: 3,353 ligands were shown to have a favorable toxicity profile, but only 1,375 among them had suitable pharmacophore features.
These ligands were used for pharmacophore-based rigid and flexible molecular docking simulations with PDB ID: 4M0Q, chosen as the crystal structure of EBOV VP24.
Six ligands predicted to have strong molecular interactions with EBOV VP24 underwent pharmacological property analysis through various software packages, including DataWarrior, SwissADME, admetSAR, pkCSM, and Toxtree.
Conclusions:
Taxumairol V was identified as the best candidate for EVD drug therapy via EBOV VP24 inhibition based on its molecular properties, predicted molecular interactions with the target molecule, and predicted pharmacological properties.
Related Results
619. Pharmacokinetic-Pharmacodynamic (PK-PD) Target Attainment Analyses to Support Epetraborole Dose Selection for the Treatment of Patients with Mycobacterium avium Complex (MAC) Lung Disease
619. Pharmacokinetic-Pharmacodynamic (PK-PD) Target Attainment Analyses to Support Epetraborole Dose Selection for the Treatment of Patients with Mycobacterium avium Complex (MAC) Lung Disease
Abstract
Background
Epetraborole (EBO) is an orally available, bacterial leucyl transfer RNA synthetase inhibitor that concentra...
LB2306. Population Pharmacokinetic (PPK), Pharmacokinetic/Pharmacodynamic attainment (PTA), and Clinical Pharmacokinetic/Pharmacodynamic (PK/PD) Analyses for Sulbactam-Durlobactam (SUL-DUR) to Support Dose Selection for the Treatment of Acinetobacter baum
LB2306. Population Pharmacokinetic (PPK), Pharmacokinetic/Pharmacodynamic attainment (PTA), and Clinical Pharmacokinetic/Pharmacodynamic (PK/PD) Analyses for Sulbactam-Durlobactam (SUL-DUR) to Support Dose Selection for the Treatment of Acinetobacter baum
Abstract
Background
SUL-DUR is a β-lactam/β-lactamase inhibitor combination in development for the treatment of ABC infections, ...
593. Population Pharmacokinetic Model Development for Epetraborole and Mycobacterium avium Complex (MAC) Lung Disease Patients Using Data from Phase 1 and 2 Studies
593. Population Pharmacokinetic Model Development for Epetraborole and Mycobacterium avium Complex (MAC) Lung Disease Patients Using Data from Phase 1 and 2 Studies
Abstract
Background
Epetraborole (EBO), an orally available bacterial leucyl transfer RNA synthetase inhibitor with potent activ...
592. Impact of Elevated MIC Values on Echinocandin Pharmacokinetic-Pharmacodynamic (PK-PD) Candida glabrata Target Attainment (TA)
592. Impact of Elevated MIC Values on Echinocandin Pharmacokinetic-Pharmacodynamic (PK-PD) Candida glabrata Target Attainment (TA)
Abstract
Background
Given the increasing prevalence of non-albicans Candida species, including C. glabrata and C. auris, which h...
IDENTIFICATION OF NEW CYCLOOXYGENASE-2 SELECTIVE INHIBITORS VIA VIRTUAL SCREENING AND COMPLEX-BASED PHARMACOPHORE MAPPING
IDENTIFICATION OF NEW CYCLOOXYGENASE-2 SELECTIVE INHIBITORS VIA VIRTUAL SCREENING AND COMPLEX-BASED PHARMACOPHORE MAPPING
Background: New and effective COX-2-targeted medications may cure cancer, inflammation, and other disorders.It’s difficult to produce druggable site inhibitors for target protein i...
Genetic Diversity of Bundibugyo Ebolavirus from Uganda and the Democratic Republic of Congo
Genetic Diversity of Bundibugyo Ebolavirus from Uganda and the Democratic Republic of Congo
Abstract
Background
The Ebolavirus is one of the deadliest viral pathogens which was first discovered in t...
Selection of Injectable Drug Product Composition using Machine Learning Models (Preprint)
Selection of Injectable Drug Product Composition using Machine Learning Models (Preprint)
BACKGROUND
As of July 2020, a Web of Science search of “machine learning (ML)” nested within the search of “pharmacokinetics or pharmacodynamics” yielded over 100...
Pharmacophore model guided 3D molecular generation through diffusion model
Pharmacophore model guided 3D molecular generation through diffusion model
Generating molecules that rigorously satisfy three-dimensional (3D) pharmacophore constraints has remained a challenge in de novo drug design, despite rapid progress in molecular g...

