bindingdb-database

bindingdb-database is a skill for Claude Code, Codex from nevergoodstudy-hub/wechat-article-summarizer. It costs 68 tokens per session (3,135 once invoked), scanned A, a copy of bindingdb-database, MIT.

A research database connector for measured drug–protein binding results such as Ki, Kd, IC50, and EC50. BindingDB is a public scientific database containing data on compounds and protein targets.

In plain words
What is it for?
Use it to find compounds that bind a target, examine how chemical changes affect binding, study a compound’s target selectivity, or obtain datasets for machine-learning models.
Why use it?
It avoids manually searching scientific papers and patents for experimental binding measurements. It provides structured data for comparing compounds and targets.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to find compounds that bind a target, examine how chemical changes affect binding, study a compound’s target selectivity, or obtain datasets for machine-learning models.

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Install with agentmods
npx agentmods add skills/nevergoodstudy-hub/wechat-article-summarizer/bindingdb-database
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add nevergoodstudy-hub/wechat-article-summarizer --skill bindingdb-database
Clone the repo
git clone --depth 1 https://github.com/nevergoodstudy-hub/wechat-article-summarizer

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for bindingdb-database

README.md
[![agentmods](https://agentmods.dev/badge/skills/nevergoodstudy-hub/wechat-article-summarizer/bindingdb-database/github.svg)](https://agentmods.dev/skills/nevergoodstudy-hub/wechat-article-summarizer/bindingdb-database)
Your own site
<a href="https://agentmods.dev/skills/nevergoodstudy-hub/wechat-article-summarizer/bindingdb-database"><img src="https://agentmods.dev/badge/skills/nevergoodstudy-hub/wechat-article-summarizer/bindingdb-database/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for bindingdb-database

Your own site · 80×15
<a href="https://agentmods.dev/skills/nevergoodstudy-hub/wechat-article-summarizer/bindingdb-database"><img src="https://agentmods.dev/badge/skills/nevergoodstudy-hub/wechat-article-summarizer/bindingdb-database.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 68 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,135 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe.
Origin 100% copy Near-identical to another mod in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00068 $0.03135
Opus 5 $0.00034 $0.01568
Sonnet 5 $0.00014 $0.00627
Haiku 4.5 $0.00007 $0.00314

Measured 6d ago against content hash af78f5c9ce34, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

bindingdb-database scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 6d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

response = requests.get(url, params=params, headers={"Accept": "application/json"})
Origin

This is a copy

100% identical to bindingdb-database — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

.warp/skills/bindingdb-database/SKILL.md · 333 lines

How it starts

The opening of the file, as written. The whole thing — 333 lines — stays where its author put it; the contents beside it link to each section on GitHub.

BindingDB Database

Overview

BindingDB (https://www.bindingdb.org/) is the primary public database of measured drug-protein binding affinities. It contains over 3 million binding data records for ~1.4 million compounds tested against ~9,200 protein targets, curated from scientific literature and patent literature. BindingDB stores quantitative binding measurements (Ki, Kd, IC50, EC50) essential for drug discovery, pharmacology, and computational chemistry research.

Key resources:

When to Use This Skill

Use BindingDB when:

  • Target-based drug discovery: What known compounds bind to a target protein? What are their affinities?
  • SAR analysis: How do structural modifications affect binding affinity for a series of analogs?
  • Lead compound profiling: What targets does a compound bind (selectivity/polypharmacology)?
  • Benchmark datasets: Obtain curated protein-ligand affinity data for ML model training
  • Repurposing analysis: Does an approved drug bind to an unintended target?
  • Competitive analysis: What is the best reported affinity for a target class?
  • Fragment screening: Find validated binding data for fragments against a target

Core Capabilities

1. BindingDB REST API

Base URL: https://www.bindingdb.org/axis2/services/BDBService

import requests

BASE_URL = "https://www.bindingdb.org/axis2/services/BDBService"

def bindingdb_query(method, params):
    """Query the BindingDB REST API."""
    url = f"{BASE_URL}/{method}"
    response = requests.get(url, params=params, headers={"Accept": "application/json"})
    response.raise_for_status()
    return response.json()

2. Query by Target (UniProt ID)

def get_ligands_for_target(uniprot_id, affinity_type="Ki", cutoff=10000, unit="nM"):
    """
    Get all ligands with measured affinity for a UniProt target.

    Args:
        uniprot_id: UniProt accession (e.g., "P00519" for ABL1)
        affinity_type: "Ki", "Kd", "IC50", "EC50"
        cutoff: Maximum affinity value to return (in nM)
        unit: "nM" or "uM"
    """
    params = {
        "uniprot_id": uniprot_id,
        "affinity_type": affinity_type,
        "affinity_cutoff": cutoff,
        "response": "json"
    }
    return bindingdb_query("getLigandsByUniprotID", params)

# Example: Get all compounds binding ABL1 (imatinib target)
ligands = get_ligands_for_target("P00519", affinity_type="Ki", cutoff=100)

Read the full file on GitHub · 333 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 6d ago First seen · 333 lines · 68 tokens per session scan A af78f5c9ce34

Subscribe to this mod's changes

bindingdb-database is a skill published in the GitHub repository nevergoodstudy-hub/wechat-article-summarizer (5 stars, last pushed 2mo ago), licensed MIT. It adds 68 tokens to every session and 3,135 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). It is 100% identical to bindingdb-database, differing in 0 lines, and is treated as a copy.

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