# predict_ppi

Predict the binding-affinity class for a pair of proteins using the IBM MAMMAL biomedical foundation model. Returns label "1" (interacting) or "0" (non-interacting). Inference is CPU-bound and may take up to ~60s.

Agent View of the PolicyLayer registry record for `predict_ppi`. HTML page: https://policylayer.com/tools/io-github-hifarrer-cure-cancer-with-ai/predict-ppi

## Facts

- Tool: `predict_ppi`
- Server: Cure Cancer With AI (`https://www.curecancerwithai.com/api/mcp`) — https://policylayer.com/tools/io-github-hifarrer-cure-cancer-with-ai.md
- Homepage: https://github.com/hifarrer/ccwai-api
- Risk category: Execute (High risk)
- Registry record: grade C, identity unverified
- Server auth posture: open
- Server rate-limited: no
- Parameters: 2 (2 required)
- Recommended policy verdict: Rate-limited

## Parameters

| Parameter | Type | Required | Description |
| --- | --- | --- | --- |
| `protein_a` | string | yes | Amino-acid sequence, single-letter codes (ACDEFGHIKLMNPQRSTVWY), no FASTA header. |
| `protein_b` | string | yes | Amino-acid sequence, single-letter codes. |

Parameters from the server's own tool schema.

## Example call (MCP tools/call, JSON-RPC 2.0)

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "predict_ppi",
    "arguments": {
      "protein_a": "<protein_a>",
      "protein_b": "<protein_b>"
    }
  }
}
```

## Why predict_ppi is rated High

This tool executes a remote/local CPU-bound machine learning inference job against the IBM MAMMAL foundation model. It does not merely retrieve stored data; it triggers a computation whose duration and resource consumption depend on inputs. No data is written or deleted, and there are no financial implications, but the execution of an external model places it in the Execute category.

From the tool's own definition: "'Predict the binding-affinity class for a pair of proteins using the IBM MAMMAL biomedical foundation model' — runs inference via an external AI/ML model; 'Inference is CPU-bound and may take up to ~60s' confirms an active computation is triggered"

## Use case

AI agents invoke predict_ppi to trigger actions in Cure Cancer With AI. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call: builds kicked off, notifications sent, workflows started.

## Recommended policy (PolicyLayer)

Verdict: **Rate-limited**. Enforced by the PolicyLayer MCP gateway (https://policylayer.com/mcp-gateway) before a call reaches Cure Cancer With AI:

```json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "predict_ppi": {
      "limits": [
        {
          "counter": "predict_ppi_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}
```

## Other tools on Cure Cancer With AI (14)

- `predict_dti` — Execute — https://policylayer.com/tools/io-github-hifarrer-cure-cancer-with-ai/predict-dti.md
- `get_blog_post` — Read — https://policylayer.com/tools/io-github-hifarrer-cure-cancer-with-ai/get-blog-post.md
- `get_clinical_trial` — Read — https://policylayer.com/tools/io-github-hifarrer-cure-cancer-with-ai/get-clinical-trial.md
- `get_research_paper` — Read — https://policylayer.com/tools/io-github-hifarrer-cure-cancer-with-ai/get-research-paper.md
- `list_blog_posts` — Read — https://policylayer.com/tools/io-github-hifarrer-cure-cancer-with-ai/list-blog-posts.md
- `list_clinical_trials` — Read — https://policylayer.com/tools/io-github-hifarrer-cure-cancer-with-ai/list-clinical-trials.md
- `list_compound_characteristics` — Read — https://policylayer.com/tools/io-github-hifarrer-cure-cancer-with-ai/list-compound-characteristics.md
- `list_fda_approvals` — Read — https://policylayer.com/tools/io-github-hifarrer-cure-cancer-with-ai/list-fda-approvals.md
- `list_news` — Read — https://policylayer.com/tools/io-github-hifarrer-cure-cancer-with-ai/list-news.md
- `list_research` — Read — https://policylayer.com/tools/io-github-hifarrer-cure-cancer-with-ai/list-research.md
- `mammal_health` — Read — https://policylayer.com/tools/io-github-hifarrer-cure-cancer-with-ai/mammal-health.md
- `predict_clintox` — Read — https://policylayer.com/tools/io-github-hifarrer-cure-cancer-with-ai/predict-clintox.md
- `search_compounds` — Read — https://policylayer.com/tools/io-github-hifarrer-cure-cancer-with-ai/search-compounds.md
- `search_oncology` — Read — https://policylayer.com/tools/io-github-hifarrer-cure-cancer-with-ai/search-oncology.md

## For agents

This record is a snapshot. Live verdicts and the full registry:

- Check every server in your MCP config at once: `npx -y policylayer stack`
- Vet a server before you add it: install the mcp-precheck skill — `npx skills add https://policylayer.com` (skill text: https://policylayer.com/skill.md)
- Query the registry over MCP: endpoint `https://api.policylayer.com/mcp` — tools `check_mcp_server`, `check_mcp_stack`, `check_tool`, `search_registry`, `get_change_events`

---

Source: the PolicyLayer MCP registry — one continuously verified record per MCP server. Full record: https://policylayer.com/registry?q=io-github-hifarrer-cure-cancer-with-ai · API: https://policylayer.com/registry/api · Policy library: https://policylayer.com/policies/io-github-hifarrer-cure-cancer-with-ai