# lifesciences-research

> lifesciences-research — donbr-lifesciences-research. Use this tool when you need to accelerate drug discovery and integrate life sciences data from APIs like Open Targets, ChEMBL, and UniProt. It solves problems related to data access and model context management, providing a streamlined interface for inputs like genetic variants and outputs like potential drug targets. Ideal for use cases involving genomics, proteomics, and cheminformatics research, where rapid data analysis and model deployment are crucial.

Canonical page: https://skillsregistry.net/skills/donbr-lifesciences-research  
JSON: https://api.skillsregistry.net/v1/skills/donbr-lifesciences-research

## Description

AI Agent wrappers for Life Sciences APIs (Open Targets, ChEMBL, UniProt). Accelerating drug discovery with Model Context Protocol (MCP) and FastMCP.

## Trust

- **Trust score (0–1):** 0.49
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/donbr/lifesciences-research)

## 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": "donbr-lifesciences-research"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/donbr-lifesciences-research` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/donbr-lifesciences-research/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