Assessing the scaffold diversity of screening libraries

Area of Science:

• Drug discovery and medicinal chemistry
• Computational chemistry and cheminformatics

Background:

• Traditional assessments of chemical diversity by medicinal chemists can be inconsistent.
• Evaluating large datasets of compounds for drug discovery requires robust methodologies.

Purpose of the Study:

• To develop a workflow for analyzing scaffold diversity in commercially available screening collections.
• To enable objective measurement and comparison of scaffold diversity across different libraries.
• To create a searchable, non-redundant scaffold library for prioritizing compound acquisition.

Main Methods:

• Identification of druglike compounds from commercial sources.
• Clustering compounds based on maximum common substructures (scaffolds).
• Quantification of scaffold diversity independent of library size.
• Generation of a unified, non-redundant scaffold library with query capabilities.

Main Results:

• Analysis of 2.4 million compounds from 12 commercial sources.
• Categorization of screening libraries into four types: large/medium combinatorial (low diversity), diverse (medium diversity/size), and highly diverse (high diversity/low size).
• Demonstration that scaffold diversity can be measured and compared effectively.

Conclusions:

• The developed workflow provides a systematic approach to assess and compare scaffold diversity in screening collections.
• The categorized libraries offer insights into the chemical space coverage of different compound sets.
• The searchable scaffold library facilitates informed decisions in prioritizing scaffold-focused libraries for drug discovery efforts.