target-discovery

What problem does it solve?

This Skill helps teams start from one or many compound structures and rapidly identify the most plausible biological targets, so discovery work can move from chemical inventory to testable hypotheses.

Core Features & Use Cases

• ADMET filtering: Screens compounds for drug-likeness, exposure, toxicity, and developability risk before deeper analysis.
• Scaffold and similarity analysis: Groups compounds by shared cores and finds nearby known active molecules to generate target hypotheses.
• Target intelligence and FTO review: Validates target relevance, checks patent exposure, and extracts structure-activity relationships for optimization.
• Use case: A research team with a proprietary compound library can prioritize the best candidate series, identify likely targets, assess patent risk, and prepare a report for decision making.

Quick Start

Give this skill one or more SMILES strings and ask it to analyze likely targets, patent risk, and optimization paths, optionally requesting a PPT or PDF report.