Description
Early discovery often differentiates “fragment‑like” molecules from “lead‑like” or “drug‑like” ones based on simple property ranges. Percepta predictions can help classify proposed structures roughly along these lines.
Solution
- For each proposed compound, obtain Percepta predictions (or input data) for:
- Molecular weight.
- logP/logD.
- H‑bond donors and acceptors (if accessible in your setup).
- Rotatable bond count (if accessible).
- Apply internal fragment‑like and lead‑like rules (examples, to be tailored):
- Fragment‑like: low MW, low lipophilicity, limited H‑bonding.
- Lead‑like: moderate MW, moderate lipophilicity, within desired H‑bond and flexibility ranges.
- Mark each compound as roughly fragment‑like, lead‑like, or outside typical ranges.
- Use this classification to:
- Guide screening strategies (e.g., high‑concentration fragment screens vs standard potency assays).
- Inform design priorities (growing fragments vs optimizing leads).
- Update thresholds and guidelines as your organization’s strategy evolves.
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