SiMMap

SiMMap derives statistical site-moiety maps that relate moiety preferences to the physico-chemical properties of protein binding sites using interaction profiles from query target proteins and their docked or co-crystallized compounds.

Key Features:

• Statistical Derivation: Employs statistical methods to create site-moiety maps that quantify relationships between chemical moieties and binding-site properties.
• Interaction Profile Integration: Integrates interaction profiles from query target proteins and their docked or co-crystallized compounds as the basis for map construction.
• Anchor-Based Mapping: Constructs maps with multiple anchors, each defined by a binding pocket of conserved interacting residues, the moiety composition of query compounds, and the interaction type (electrostatic, hydrogen bonding, or van der Waals).
• Validation: Initial validation was performed on thymidine kinase and estrogen receptors (both antagonists and agonists), showing anchors often represent critical binding-site hot spots.
• Lead Assembly: Enables assembly of potential lead compounds by optimizing steric, hydrogen-bonding, and electronic moieties to enhance target interaction.
• Predictive Utility: Compounds that align with anchors in a site-moiety map are likely to activate or inhibit the target protein, supporting predictive modeling in drug discovery.

Scientific Applications:

• Drug Discovery: Provides binding-preference and interaction-type information to inform rational design and prioritization of therapeutic compounds.
• Biological Mechanism Understanding: Maps detailed moiety–residue interactions to elucidate molecular mechanisms of protein–ligand recognition.

Methodology:

Integrates interaction profiles from query target proteins and their docked or co-crystallized compounds, applies statistical methods to derive site-moiety maps, and constructs anchors defined by conserved pocket residues, moiety composition, and interaction types (electrostatic, hydrogen bonding, van der Waals).