VAMMPIRE: a matched molecular pairs database for structure-based drug design and optimization

Area of Science:

• Drug discovery and medicinal chemistry
• Computational chemistry and structural biology

Background:

• Structure-based drug design is crucial for optimizing lead compound affinity.
• Knowledge-based databases of molecular substitutions can aid optimization.
• Relating substitution effects to the protein-ligand complex atom environment is key.

Purpose of the Study:

• To introduce a novel strategy for structure-based lead optimization.
• To develop a method linking matched molecular pair (MMP) substitution effects to the protein-ligand atom environment.
• To present the VAMMPIRE database and web interface for drug discovery.

Main Methods:

• Utilizing matched molecular pairs (MMPs) to analyze substitution effects.
• Integrating atom environment information from cocrystallized protein-ligand complexes.
• Developing the Virtually Aligned Matched Molecular Pairs Including Receptor Environment (VAMMPIRE) database.
• Creating a supplementary web interface for VAMMPIRE access.

Main Results:

• A strategy to correlate MMP substitution effects with the local protein-ligand binding site environment was established.
• The VAMMPIRE database was created, containing information on molecular replacements within their structural context.
• The VAMMPIRE web interface was developed to provide access to this information.

Conclusions:

• The VAMMPIRE database and strategy offer valuable insights for structure-based lead optimization.
• This approach enhances the understanding of how molecular substitutions impact binding affinity within a specific protein context.
• The VAMMPIRE resource supports medicinal chemists in designing improved drug candidates.