Antiviral Drug Target Identification and Ligand Discovery.

Area of Science:

• Computational chemistry
• Drug discovery
• Bioinformatics

Background:

• Antiviral drug discovery relies on identifying and validating viral protein targets.
• Molecular docking is a key computational technique for predicting drug-target interactions.
• Access to specialized web resources is crucial for efficient drug discovery workflows.

Purpose of the Study:

• To provide a comprehensive overview of web-based resources for antiviral drug discovery.
• To guide researchers in utilizing computational tools for identifying potential antiviral agents.
• To highlight free, online, open-source resources for various stages of drug discovery.

Main Methods:

• Explaining methods for obtaining viral protein target structures.
• Detailing considerations for receptor-based molecular docking.
• Discussing resources for ligand searching, screening, and analogue library preparation.

Main Results:

• Identification of key web-based resources for each step of the antiviral drug discovery process.
• Emphasis on the utility of free, online, and open-source tools.
• Practical guidance on applying molecular docking techniques.

Conclusions:

• Web-based resources significantly facilitate antiviral drug discovery.
• Free and open-source tools offer accessible solutions for researchers.
• A structured approach using these resources can accelerate the identification of novel antiviral drugs.