VSPrep: A KNIME Workflow for the Preparation of Molecular Databases for Virtual Screening

Area of Science:

• Computational chemistry
• cheminformatics
• Drug discovery

Background:

• Drug discovery is complex and costly, necessitating efficient in silico tools.
• Virtual screening of molecular databases is crucial for identifying potential drug candidates.
• Effective molecular preparation is essential for the success of virtual screening techniques.

Purpose of the Study:

• To review toolkits for molecular database cleaning within a KNIME workflow.
• To present an automated workflow for preparing molecular databases for drug design.
• To enhance the efficiency and success rate of in silico drug discovery projects.

Main Methods:

• An automated KNIME workflow was developed for molecular database preparation.
• The workflow includes salt removal, mixture splitting, and filtering of unwanted features.
• It addresses tautomer generation, stereoisomer enumeration, and 3D coordinate generation.

Main Results:

• The workflow successfully processes molecular databases by removing salts, splitting mixtures, and filtering compounds.
• It handles tautomers and stereoisomers, generating 3D coordinates and conformers.
• The presented workflow has been successfully applied to multiple drug design projects.

Conclusions:

• The developed KNIME workflow provides an efficient and automated method for molecular database preparation.
• This approach optimizes molecules for various in silico drug design techniques.
• The workflow can be utilized to support diverse drug discovery initiatives.