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.