Diversity & tractability revisited in collaborative small molecule phenotypic screening library design.

Area of Science:

• Medicinal Chemistry
• Drug Discovery
• Computational Chemistry

Background:

• Identifying effective drug candidates against diverse targets is crucial for the pharmaceutical industry.
• Early drug discovery requires adaptable hit-finding strategies to manage evolving research portfolios.
• Screening large compound libraries can be resource-intensive and may not always yield optimal results.

Purpose of the Study:

• To develop a method for creating high-quality, size-flexible small molecule screening subsets.
• To ensure screening subsets align with current medicinal chemistry principles and industry needs.
• To optimize the hit-finding process in early-stage drug discovery.

Main Methods:

• Designed a strategy for generating small molecule screening subsets of varying sizes.
• Balanced key parameters including chemical tractability, chemical diversity, and biological target coverage.
• Incorporated medicinal chemist input through surveys to refine compound selection criteria.

Main Results:

• The developed strategy allows for flexible design of screening subsets tailored to specific project needs.
• Medicinal chemist feedback indicated that not all published PAINS (Pan-Assay Interference Compounds) alerts are universally applied.
• Quantitative Estimate of Drug-likeness (QED) scores correlated well with chemists' assessments of chemical attractiveness.

Conclusions:

• The proposed strategy enhances the efficiency and relevance of hit-finding in early drug discovery.
• Medicinal chemist insights are valuable for refining compound selection and prioritizing drug-like properties.
• QED scores can serve as a useful tool for evaluating the chemical attractiveness of compounds in screening libraries.