What problem does it solve?
Medicinal chemistry screening involves applying drug-likeness rules, PAINS filters, structural alerts, and complexity metrics to triage large compound libraries. This Skill helps researchers quickly identify promising candidates and discard problematic structures, accelerating lead discovery workflows.
Core Features & Use Cases
- Medicinal chemistry rules: Apply established Ro5/Ro3/Oprea/CNS/Veber/lead-like rules to assess drug-likeness.
- Structural alerts & PAINS: Detect potentially problematic patterns with CommonAlertsFilters, NIBR, and Lilly demerits.
- Complexity & constraints: Compute synthetic complexity and apply property constraints to prioritize compounds.
- High-level APIs: Use RuleFilters, functional modules, and query language to compose custom filtering pipelines.
- Use Case: Screen a library of 10,000 molecules to select CNS candidates with acceptable complexity and no common alerts.
Quick Start
Filter a list of molecules through medchem rules, alerts, and complexity metrics to obtain a clean, prioritized candidate set.