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Journal of Molecular Modeling
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PubMed Central
Other literature type . 2014
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Journal of Molecular Modeling
Article . 2014 . Peer-reviewed
License: Springer Nature TDM
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Discovery of in silico hits targeting the nsP3 macro domain of chikungunya virus

Authors: Nguyen, Phuong; Yu, Haibo; Keller, Paul;

Discovery of in silico hits targeting the nsP3 macro domain of chikungunya virus

Abstract

The recent emergence and re-emergence of alphaviruses, in particular the chikungunya virus (CHIKV), in numerous countries has invoked a worldwide threat to human health, while simultaneously generating an economic burden on affected countries. There are currently no vaccines or effective drugs available for the treatment of the CHIKV, and with few lead compounds reported, the vital medicinal chemistry is significantly more challenging. This study reports on the discovery of potential inhibitors for the nsP3 macro domain of CHIKV using molecular docking, virtual screening, and molecular dynamics simulations, as well as work done to evaluate and confirm the active site of nsP3. Virtual screening was carried out based on blind docking as well as focused docking, using the database of 1541 compounds from NCI Diversity Set II, to identify hit compounds for nsP3. The top hit compounds were further subjected to molecular dynamic simulations, yielding a greater understanding of the dynamic behavior of nsP3 and its complexes with various ligands, concurrently confirming the outcomes of docking, and establishing in silico lead compounds which target the CHIKV nsP3 enzyme.

Country
Australia
Related Organizations
Keywords

Databases, Pharmaceutical, Protein Conformation, Molecular Dynamics Simulation, Social and Behavioral Sciences, Antiviral Agents, Catalytic Domain, Enzyme Stability, Medicine and Health Sciences, Molecular Targeted Therapy, Enzyme Inhibitors, Original Paper, Adenosine Diphosphate Ribose, Binding Sites, Molecular Structure, Reproducibility of Results, Hydrogen Bonding, 540, Protein Structure, Tertiary, Molecular Docking Simulation, Drug Design, Computer-Aided Design, CMMB, Chikungunya virus, Hydrophobic and Hydrophilic Interactions, Protein Binding

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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
37
Top 10%
Top 10%
Top 10%
Green
hybrid