安装
npx skills add https://github.com/mims-harvard/tooluniverse --skill tooluniverse-drug-research
复制
Drug Research Strategy
Comprehensive drug investigation using 50+ ToolUniverse tools across chemical databases, clinical trials, adverse events, pharmacogenomics, and literature.
KEY PRINCIPLES
:
Report-first approach
- Create report file FIRST, then populate progressively
Compound disambiguation FIRST
- Resolve identifiers before research
Citation requirements
- Every fact must have inline source attribution
Evidence grading
- Grade claims by evidence strength (T1-T4)
Mandatory completeness
- All sections must exist, even if "data unavailable"
English-first queries
- Always use English drug/compound names in tool calls, even if the user writes in another language. Only try original-language terms as a fallback. Respond in the user's language
Workflow Overview
1. Report-First Approach (MANDATORY)
DO NOT
show the search process or tool outputs to the user. Instead:
Create the report file FIRST
-
[DRUG]_drug_report.md
with all 11 section headers and
[Researching...]
placeholders. See
REPORT_TEMPLATE.md
for the full template.
Progressively update the report
- Replace placeholders with findings as you query each tool.
Use ALL relevant tools
- Query multiple databases for each data type; cross-reference across sources.
2. Citation Requirements (MANDATORY)
Every piece of information MUST include its source. Use inline citations:
*
Source: PubChem via
PubChem_get_compound_properties_by_CID
(CID: 4091)
*
3. Progressive Writing Workflow
Step 1: Create report file with all section headers
Step 2: Resolve compound identifiers -> Update Section 1
Step 3: Query PubChem/ADMET-AI/DailyMed SPL -> Update Section 2 (Chemistry)
Step 4: Query FDA Label MOA + ChEMBL + DGIdb -> Update Section 3 (Mechanism)
Step 5: Query ADMET-AI tools -> Update Section 4 (ADMET)
Step 6: Query ClinicalTrials.gov -> Update Section 5 (Clinical)
Step 7: Query FAERS/DailyMed -> Update Section 6 (Safety)
Step 8: Query PharmGKB -> Update Section 7 (Pharmacogenomics)
Step 9: Query DailyMed/Orange Book -> Update Section 8 (Regulatory)
Step 10: Query PubMed/literature -> Update Section 9 (Literature)
Step 11: Synthesize findings -> Update Executive Summary & Section 10
Step 12: Document all sources -> Update Section 11 (Data Sources)
Compound Disambiguation (Phase 1)
CRITICAL
Establish compound identity before any research.
Identifier Resolution Chain
1. PubChem_get_CID_by_compound_name(compound_name)
-> Extract: CID, canonical SMILES, formula
2. ChEMBL_search_compounds(query=drug_name)
-> Extract: ChEMBL ID, pref_name
3. DailyMed_search_spls(drug_name)
-> Extract: Set ID, NDC codes (if approved)
4. PharmGKB_search_drugs(query=drug_name)
-> Extract: PharmGKB ID (PA...)
Handle Naming Ambiguity
Issue
Example
Resolution
Salt forms
metformin vs metformin HCl
Note all CIDs; use parent compound
Isomers
omeprazole vs esomeprazole
Verify SMILES; separate entries if distinct
Prodrugs
enalapril vs enalaprilat
Document both; note conversion
Brand confusion
Different products same name
Clarify with user
Research Paths Summary
Each path has detailed tool chains and output examples in
REPORT_GUIDELINES.md
.
PATH 1: Chemical Properties & CMC
Tools
PubChem properties -> ADMET-AI physicochemical -> ADMET-AI solubility -> DailyMed chemistry/description
Output
Physicochemical table, Lipinski assessment, QED score, salt forms, formulation comparison
PATH 2: Mechanism & Targets
Tools
DailyMed MOA -> ChEMBL activities (NOT
ChEMBL_get_molecule_targets
) -> ChEMBL target details -> DGIdb -> PubChem bioactivity
Critical
Derive targets from activities filtered to pChEMBL >= 6.0. Avoid
ChEMBL_get_molecule_targets
.
Output
FDA MOA text, target table with UniProt/potency, selectivity profile
PATH 3: ADMET Properties
Tools
ADMET-AI (bioavailability, BBB, CYP, clearance, toxicity)
Fallback
DailyMed clinical_pharmacology + pharmacokinetics + drug_interactions
Critical
If ADMET-AI fails, automatically use fallback. Never leave Section 4 empty.
PATH 4: Clinical Trials
Tools
search_clinical_trials -> compute phase counts -> extract outcomes/AEs -> fda_pharmacogenomic_biomarkers
Critical
Section 5.2 must show actual counts by phase/status in table format.
PATH 5: Post-Marketing Safety
Tools
FAERS (reactions, seriousness, outcomes, deaths, age) + DailyMed (DDI, dosing, warnings)
Critical
Include FAERS date window, seriousness breakdown, and limitations paragraph.
PATH 6: Pharmacogenomics
Tools
PharmGKB (search -> details -> annotations -> guidelines)
Fallback
DailyMed pharmacogenomics section + PubMed literature
PATH 7: Regulatory & Patents
Tools
FDA Orange Book (search, approval history, exclusivity, patents, generics) + DailyMed (special populations via LOINC codes)
Note
US-only data; document EMA/PMDA limitation.
PATH 8: Real-World Evidence
Tools
ClinicalTrials.gov (OBSERVATIONAL studies) + PubMed (real-world, registry, surveillance)
PATH 9: Comparative Analysis
Tools
Abbreviated tool chains for each comparator + head-to-head trial search + PubMed meta-analyses
FDA Label Core Fields
For approved drugs, retrieve these DailyMed sections early (after getting set_id):
Batch
Sections
Maps to Report
Phase 1
mechanism_of_action, pharmacodynamics, chemistry
Sections 2-3
Phase 2
clinical_pharmacology, pharmacokinetics, drug_interactions
Sections 4, 6.5
Phase 3
warnings_and_cautions, adverse_reactions, dosage_and_administration
Sections 6, 8.2
Phase 4
pharmacogenomics, clinical_studies, description, inactive_ingredients
Sections 5, 7
Fallback Chains
Primary Tool
Fallback
Use When
PubChem_get_CID_by_compound_name
ChEMBL_search_compounds
Name not in PubChem
ChEMBL_get_molecule_targets
Use
ChEMBL_search_activities
instead
Always avoid this tool
ChEMBL_get_bioactivity_by_chemblid
PubChem_get_bioactivity_summary_by_CID
No ChEMBL ID
DailyMed_search_spls
PubChem_get_drug_label_info_by_CID
DailyMed timeout
PharmGKB_search_drugs
DailyMed PGx sections + PubMed
PharmGKB unavailable
PharmGKB_get_dosing_guidelines
DailyMed pharmacogenomics section
PharmGKB API error
FAERS_count_reactions_by_drug_event
Document "FAERS unavailable" + use label AEs
API error
ADMETAI_
(all tools)
DailyMed clinical_pharmacology + pharmacokinetics
Invalid SMILES or API error
Quick Reference: Tools by Use Case
Use Case
Primary Tool
Fallback
Evidence
Name -> CID
PubChem_get_CID_by_compound_name
ChEMBL_search_compounds
T1
Properties
PubChem_get_compound_properties_by_CID
ADMET-AI physicochemical
T1/T2
FDA MOA
DailyMed_get_spl_sections_by_setid
(mechanism_of_action)
-
T1
Targets
ChEMBL_search_activities
->
ChEMBL_get_target
DGIdb_get_drug_info
T1
ADMET
ADMETAI_predict_
(5 tools)
DailyMed PK sections
T2/T1
Trials
search_clinical_trials
-
T1
Trial outcomes
extract_clinical_trial_outcomes
-
T1
FAERS
FAERS_count_reactions_by_drug_event
Label adverse_reactions
T1
Dose mods
DailyMed_get_spl_sections_by_setid
(dosage, warnings)
-
T1
PGx
PharmGKB_search_drugs
DailyMed PGx + PubMed
T2/T1
Label
DailyMed_search_spls
PubChem_get_drug_label_info_by_CID
T1
Literature
PubMed_search_articles
EuropePMC_search_articles
Varies
Regulatory
FDA_OrangeBook_*
tools
DailyMed label data
T1
See
TOOLS_REFERENCE.md
for the complete tool listing with parameters and input format requirements.
Type Normalization
Many tools require
string
inputs. Always convert IDs before API calls:
ChEMBL IDs, PubMed IDs, NCT IDs: convert int -> str
SMILES for ADMET-AI: pass as list
["SMILES_STRING"]
FAERS drug names: use UPPERCASE (e.g.,
"METFORMIN"
)
ChEMBL IDs: full format
"CHEMBL1431"
not
"1431"
PharmGKB IDs: PA prefix
"PA450657"
not
"450657"
Common Use Cases
Use Case
Primary Sections
Light Sections
Approved Drug Profile
All 11 sections
None
Investigational Compound
1, 2, 3, 4, 9
5, 6, 7, 8
Safety Review
1, 5, 6, 7, 9
2, 3, 4, 8
ADMET Assessment
1, 2, 4
3, 5, 6, 7, 8, 9
Clinical Development Landscape
1, 5, 9
2, 3, 4, 6, 7, 8
Always maintain all section headers but adjust depth based on query focus and data availability.
When NOT to Use This Skill
Target research
-> Use target-intelligence-gatherer skill
Disease research
-> Use disease-research skill
Literature-only
-> Use literature-deep-research skill
Single property lookup
-> Call tool directly
Structure similarity search
-> Use
PubChem_search_compounds_by_similarity
directly
Additional Resources
Report template
:
REPORT_TEMPLATE.md
- Initial file template, citation format, evidence grading, scorecard, audit template
Report guidelines
:
REPORT_GUIDELINES.md
- Detailed section-by-section instructions with output examples
Tool reference
:
TOOLS_REFERENCE.md
- Complete tool listing with parameters and input formats
Verification checklist
:
CHECKLIST.md
- Section-by-section pre-delivery verification
Examples
:
EXAMPLES.md
- Detailed workflow examples for different use cases
← 返回排行榜