EasyVS

EasyVS performs structure-based virtual screening to select and evaluate purchasable molecule libraries against protein targets with known 3D structures.

Key Features:

• Protein target selection: Selection of protein targets with known 3D structures for structure-based screening.
• Library customization: Tailoring of purchasable molecule libraries based on user-specified criteria.
• Filtering and clustering: Filtering libraries by molecular properties such as size, polarity, or solubility and clustering molecules by structural similarity.
• Docking simulations and parameters: Execution of structure-based docking simulations with customizable docking parameters.

Scientific Applications:

• Drug discovery and development: Selection and evaluation of potential lead compounds against protein targets.
• Lead identification for experimental validation: Identification of promising candidate compounds for further laboratory testing.
• Large-scale virtual screening: Analysis of large purchasable libraries and complex datasets for computational chemists, bioinformaticians, and pharmaceutical researchers.

Methodology:

Selection of a protein target with a known 3D structure, tailoring of purchasable molecule libraries using predefined criteria, filtering by molecular properties, clustering by structural similarity, and running docking simulations with personalized docking parameters.