bindingdb-database

Query BindingDB for drug-target binding affinities including Ki, Kd, IC50, and EC50 values.

1|Updated Mar 12, 2026
One-click install
npx skills add https://github.com/yf8578/clawomics --skill bindingdb-database-yf8578
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: bindingdb-database
Source: https://github.com/yf8578/clawomics/tree/main/skills/bindingdb-database
Command: npx skills add https://github.com/yf8578/clawomics --skill bindingdb-database-yf8578

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pandas, requests, numpy, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill provides access to BindingDB, a comprehensive resource for measured drug-target binding affinities, enabling researchers to quickly find and analyze quantitative interaction data crucial for drug discovery and development.

Core Features & Use Cases

  • Affinity Data Retrieval: Query for Ki, Kd, IC50, and EC50 values for specific targets or compounds.
  • Structure-Activity Relationship (SAR) Analysis: Identify potent compounds and analyze how structural changes affect binding.
  • Polypharmacology Profiling: Determine the off-target binding profile of a given compound.
  • Use Case: A medicinal chemist can use this Skill to find all known inhibitors of a specific protein target, ranked by their potency, to guide lead optimization efforts.

Quick Start

Use the bindingdb-database skill to find the top 20 inhibitors for the target with UniProt ID P00533.

Frequently Asked Questions about bindingdb-database

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

FAQPage Schema
How do I query drug-target binding affinities using a UniProt ID?

To query drug-target binding affinities using a UniProt ID, you retrieve measured interaction data including Ki, Kd, IC50, and EC50 values. This process enables you to find and rank known inhibitors for specific protein targets to guide drug discovery.

Can I search BindingDB for compound binding data using SMILES strings?

Yes, you can search BindingDB for compound binding data using compound names or SMILES strings. This allows you to retrieve quantitative affinity measurements and perform polypharmacology profiling to determine off-target interactions.

What's the best way to perform SAR analysis for lead optimization?

The best way to perform SAR analysis for lead optimization is to retrieve quantitative binding data for compounds and targets. Analyzing how structural changes affect binding affinities helps identify potent compounds and guides medicinal chemistry efforts.

Does this drug-target affinity query tool support downloading datasets for offline analysis?

Yes, this drug-target affinity query tool supports data download workflows for offline analysis. You can export retrieved Ki, Kd, IC50, and EC50 values to analyze structure-activity relationships and polypharmacology profiles using pandas and numpy.

Why use BindingDB for polypharmacology profiling instead of other databases?

BindingDB provides comprehensive measured drug-target binding affinities specifically designed for polypharmacology profiling. It enables querying via UniProt ID and compound SMILES to determine off-target binding profiles, facilitating quantitative drug discovery analysis.