Molecular shape and medicinal chemistry: a perspective.

Area of Science:

• Computational chemistry and cheminformatics
• Drug discovery and development
• Molecular modeling and simulation

Background:

• Molecular shape, defined as volume or surface, is a crucial concept in drug discovery.
• Advancements in computing power enable precise handling of molecular shape without approximations.
• Existing methods often rely on point descriptors or simplified metrics.

Purpose of the Study:

• To highlight the utility and adaptability of molecular shape in various drug discovery applications.
• To explore the potential of volumetric and surface-based shape definitions.
• To identify future research directions in molecular shape analysis.

Main Methods:

• Utilizing computational power for precise molecular shape analysis.
• Applying shape concepts to virtual screening, lead optimization, library design, and ligand fitting.
• Exploring volumetric and surface definitions of molecular shape.

Main Results:

• Molecular shape analysis provides a reliable scaffold for drug design and optimization.
• Diverse applications demonstrate the importance of precise shape handling.
• Emerging methods show promise but require further development and validation.

Conclusions:

• Molecular shape is a powerful and adaptable tool in drug discovery.
• Further exploration of volumetric and surface-based shape definitions is warranted.
• The mathematical properties of shape metrics may unlock new applications in pharmaceutical design.