drug-development-guide
End-to-end drug development pipeline from target identification to regulatory...
Profile →npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill drug-development-guide --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Drug Development Guide A comprehensive skill covering the drug development pipeline from target identification through regulatory approval. Designed for pharmaceutical researchers, medicinal chemists, and clinical scientists conducting academic or industry research. ## Drug Discovery Pipeline Overview ``` Target ID -> Hit Finding -> Lead Optimization -> Preclinical -> Phase I -> Phase II -> Phase III -> Regulatory Filing (1-2 yr) (1-2 yr) (1-3 yr) (1-2 yr) (1 yr) (2 yr) (3 yr) (1-2 yr) Total timeline: ~10-15 years | Success rate: ~5-10% from Phase I to approval Estimated cost: $1.3B-$2.8B per approved drug (DiMasi et al., 2016) ``` ## Target Identification and Validation ### Computational Target Discovery ```python import pandas as pd from scipy import stats def differential_expression_analysis(expression_data: pd.DataFrame, disease_group: list[str], control_group: list[str], fdr_threshold: float = 0.05) -> pd.DataFrame: """ Identify differentially expressed genes as potential drug targets. Args: expression_data: Gene x Sample expression matrix disease_group: Sample IDs in disease condition control_group: Sample IDs in control condition fdr_threshold: False discovery rate thresho
- Drug Discovery Pipeline Overview
- Target Identification and Validation
- Computational Target Discovery
- Target Validation Criteria
- Lead Optimization
- ADMET Property Prediction
- Pharmacokinetics Modeling
- Compartmental PK Analysis
- Clinical Trial Design
- Phase Selection and Endpoints
- References
What does the drug-development-guide skill do?
End-to-end drug development pipeline from target identification to regulatory...
How do I install it?
Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill drug-development-guide --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From brycewang-stanford/Auto-Empirical-Research-Skills, a repository with 3,244 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.