scientific-pharmacology-targets

Consolidate pharmacology data from five databases into unified target profiles.

3|1|Updated Feb 11, 2026
One-click install
npx skills add https://github.com/nahisaho/satori --skill scientific-pharmacology-targets
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: scientific-pharmacology-targets
Source: https://github.com/nahisaho/satori/tree/main/src/.github/skills/scientific-pharmacology-targets
Command: npx skills add https://github.com/nahisaho/satori --skill scientific-pharmacology-targets

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Disparate pharmacology databases make it difficult to assemble a coherent view of drug-target interactions; this Skill unifies data across multiple sources to enable rapid profiling of targets.

Core Features & Use Cases

  • Integrates BindingDB, GPCRdb, GtoPdb, BRENDA, and Pharos to generate consolidated target profiles.
  • Retrieves ligands, structure-related data, mutations, and disease associations for proteins of interest.
  • Use Case: scientists can query a protein to obtain a cross-database summary for hypothesis generation and experimental planning.

Quick Start

Query a protein to produce an integrated pharmacology target profile from BindingDB, GPCRdb, GtoPdb, BRENDA, and Pharos.

Frequently Asked Questions about scientific-pharmacology-targets

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I integrate pharmacology data from BindingDB, GPCRdb, and Pharos for a specific protein?▼

To integrate pharmacology data, you query a specific protein to retrieve ligand interactions, structural data, and disease associations from BindingDB, GPCRdb, GtoPdb, BRENDA, and Pharos into a unified target profile.

What is the best way to profile drug-target interactions across multiple databases?▼

Profiling drug-target interactions across multiple databases is done by consolidating disparate pharmacology sources into a standardized target nomenclature, generating cross-database summaries for hypothesis generation and experimental planning.

Can I export integrated pharmacology target profiles to CSV or JSON?▼

You can export integrated pharmacology target profiles directly to CSV or JSON formats, providing export-ready results for downstream analysis after querying your protein of interest.

Does this pharmacology data integration tool require external dependencies or components?▼

This pharmacology data integration tool requires no external dependencies or components, allowing you to directly query proteins and retrieve cross-database summaries without prior environment setup.

What specific data types are retrieved when profiling targets across GtoPdb and BRENDA?▼

When profiling targets across GtoPdb and BRENDA, the retrieved data types include ligand interactions, structure-related data, mutations, and disease associations consolidated into a single target profile.

When should I use a cross-database integration approach for pharmacology targets?▼

Use cross-database integration for pharmacology targets when disparate databases make it difficult to assemble a coherent view of drug-target interactions, requiring rapid unified profiling for experimental planning.