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compute-target-score

station__science__compute-target-score live science non-pv Constructa Configa

Assess drug target druggability using multi-factor scoring — protein family, structural data, clinical precedent, genetic validation

Taxonomy

Joined from the NexVigilant taxonomy DB (~/.claude/knowledge/nexvigilant-taxonomy/entries.jsonl) via the parent config's Linnaean rank.

Rank	Value
domain	`Substrata`
kingdom	`Constructa`
phylum	`Configa`
class	`station-config`
order	`science`
family	`mcp-tool-config`

Characteristics:

substrate: config
domain: pv
lifecycle: continuous
authority: read
compounding: producer
io: agent-request → tool-response

Input schema

gene stringrequired — Gene/target name

Example call

POST /api/mcp
Content-Type: application/json

{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "station__science__compute-target-score",
    "arguments": {
      "gene": ""
    }
  }
}

How to invoke from a client

From any MCP-aware client, add https://algovigilance.com/api/mcp as an MCP server, then call this tool by name. From a raw HTTP client, send the JSON-RPC body above to /api/mcp.

Agent-friendly formats

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All tools (3062 live)
/api/mcp — endpoint
/AGENTS.md — agent guide
/tools/science__compute-target-score/raw.md — this page's Markdown twin

Source: ferroforge/configs/science-drug-targets.json