# Predictive intelligence for drug discovery

> Use this tool when you need to access comprehensive and structured data on negative results in drug discovery, covering various modalities such as small molecules and clinical trials. It solves problems related to information gaps and inefficiencies in drug discovery by providing citable and reliable data from trusted sources. With inputs from 15+ databases and outputs including 84.5M small molecule records and 104K terminated clinical trials, use Nullary to inform your drug discovery research and development.

Canonical page: https://skillsregistry.net/skills/nullary-drug-discovery  
JSON: https://api.skillsregistry.net/v1/skills/nullary-drug-discovery

## Description

Nullary is an MCP server providing structured, citable access to negative results in drug discovery. Every record carries full provenance (DOI, PMID, source URL, license). Covers 7 modalities: small molecules (84.5M records), CRISPR (37.6M), clinical trials (104K terminated), peptides, antibodies, PROTACs, and oligonucleotides.

Sources include ChEMBL, PubChem BioAssay, DepMap, BioGRID ORCS, GenomeCRISPR, ClinicalTrials.gov, EudraCT, Drugs@FDA, Thera-SAbDab, SAbDab, FLAb, PROTAC-DB, THPdb, AOBase, Retraction Watch, and 10 others. Fully cited.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** maps-location
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/nullary/drug-discovery)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "nullary-drug-discovery"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/nullary-drug-discovery` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/nullary-drug-discovery/pull`

---
SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt