PharmaGist

PharmaGist identifies ligand-based pharmacophores from sets of drug-like molecule structures to support rational drug design by determining spatial arrangements of molecular features required for receptor interaction.

Key Features:

• Ligand-based approach: Operates on sets of ligand structures without requiring receptor structure information.
• Input data: Accepts sets of drug-like molecules known to bind the receptor as input.
• Flexible multiple alignment: Performs multiple flexible alignments of the input ligands.
• Explicit flexibility handling: Deterministically accounts for ligand conformational flexibility during alignment.
• Candidate pharmacophore generation: Produces candidate pharmacophores representing potential ligand–receptor interaction models.
• Subset pharmacophore detection: Detects pharmacophores shared among different subsets of input molecules to address diverse binding modes and outliers.
• Performance on small datasets: Processes up to 32 drug-like molecules in seconds to a few minutes on a typical personal computer.

Scientific Applications:

• Rational drug design: Provide pharmacophore hypotheses to guide compound design and optimization.
• Molecular interaction analysis: Identify spatial arrangements of molecular features involved in ligand–receptor interactions.
• Binding mode discrimination: Reveal common pharmacophoric features across subsets to distinguish alternative binding modes and handle outliers.

Methodology:

Multiple flexible alignments of input ligands that explicitly and deterministically account for ligand flexibility to generate candidate pharmacophores and detect pharmacophores shared among subsets of molecules.