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Related Experiment Video

Updated: Jul 8, 2025

Assays for the Identification of Novel Antivirals against Bluetongue Virus

Assays for the Identification of Novel Antivirals against Bluetongue Virus

Published on: October 11, 2013

Exploring Monkeypox: prospects for therapeutics through computational-aided drug discovery.

Daniela Bermeo Grajales¹, Supratik Kar²

¹Chemometrics and Molecular Modeling Laboratory, Department of Chemistry, Kean University, 1000 Morris Avenue, Union, NJ, 07083, USA.

Molecular Diversity

|December 11, 2023

Summary

Monkeypox virus (MPXV) research covers transmission, replication, and structure. Computational drug design and vaccine development offer promising strategies against MPXV, requiring interdisciplinary collaboration.

Keywords:

CADD Computational chemistry Docking Microbial virulence Molecular dynamics Monkeypox Transmission

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Last Updated: Jul 8, 2025

Assays for the Identification of Novel Antivirals against Bluetongue Virus

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Published on: October 11, 2013

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Published on: February 15, 2019

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Area of Science:

Virology
Genomics
Drug Discovery
Public Health

Background:

Monkeypox virus (MPXV) poses a significant public health threat due to human transmission and severe illness.
Recent MPXV outbreaks highlight the need for comprehensive research and effective countermeasures.

Purpose of the Study:

To review and synthesize MPXV research from the past two decades.
To explore transmission dynamics, viral mechanisms, genomic and virion structure, and therapeutic strategies.

Main Methods:

Literature review of peer-reviewed articles on MPXV.
Analysis of transmission routes, viral replication, and genomic/virion characteristics.
Examination of computer-aided drug design (CADD) approaches and drug development efforts.

Main Results:

MPXV transmission dynamics, including zoonotic and human-to-human spread, are detailed.
Viral replication, genomic features, and virion structure insights are presented.
Potential protein targets for CADD and ongoing small molecule/vaccine development are identified.

Conclusions:

A holistic understanding of MPXV, from transmission to drug design, is crucial.
Innovative methodologies and interdisciplinary collaboration are essential for addressing MPXV challenges.
Computational drug research, including machine learning, is advancing MPXV countermeasure development.