Exploring chemical rings in a simple topological-descriptor space

Area of Science:

• Chemical informatics
• Computational chemistry
• Cheminformatics

Background:

• Organizing and analyzing chemical ring structures is crucial for understanding chemical diversity and drug discovery.
• Existing methods may not efficiently capture the topological nuances of ring systems.
• A systematic approach to classifying ring topologies is needed.

Purpose of the Study:

• To introduce a new topological descriptor-based method for organizing chemical rings.
• To map a large database of chemical ring topologies within a defined descriptor space.
• To analyze the distribution and diversity of ring structures and identify patterns.

Main Methods:

• Development of three integer-based descriptors to characterize ring topology.
• Assigning descriptor values as coordinates in a 3D space for each ring topology.
• Application of the method to a database of 40,182 unique ring topologies from the CAS Registry File.
• Analysis of cell population statistics and spatial distribution within the descriptor space.

Main Results:

• The database of ring topologies was successfully distributed into 7,387 discrete cells in the descriptor space.
• Similar ring topologies were found to be spatially proximate within the descriptor space.
• The distribution exhibited significant voids, indicating non-uniformity in ring topology occurrence.
• Medicinally relevant rings showed distinct spatial patterns, suggesting structural constraints in drug design.

Conclusions:

• The descriptor space effectively organizes chemical rings based on topology, facilitating similarity assessments.
• The analysis revealed insights into the diversity and distribution patterns of chemical ring systems.
• The method highlights structural preferences in medicinally relevant compounds, aiding drug discovery efforts.