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Adaptyv

⚗️化學與藥物探索

自動化蛋白質測試與驗證的雲端實驗室平台。設計蛋白質時進行實驗驗證,含結合分析、表現測試。

安裝教學

選擇你使用的 AI CLI 工具,按照步驟安裝即可

# 安裝 adaptyv skill 到 Claude Code
# 方法一:從 claude-scientific-skills 安裝(推薦)
git clone https://github.com/anthropics/claude-scientific-skills.git
cp -r claude-scientific-skills/skills/adaptyv ~/.claude/skills/

# 方法二:手動建立
mkdir -p ~/.claude/skills/adaptyv
# 將 SKILL.md 放入上述目錄即可

# 安裝完成後,在 Claude Code 中即可使用此 skill

安裝完成後,在 CLI 中即可開始使用此 Skill。

使用教學

Adaptyv

Adaptyv is a cloud laboratory platform that provides automated protein testing and validation services. Submit protein sequences via API or web interface and receive experimental results in approximately 21 days.

快速開始

Authentication Setup

Adaptyv requires API authentication. Set up your credentials:

  1. Contact support@adaptyvbio.com to request API access (platform is in alpha/beta)
  2. Receive your API access token
  3. Set environment variable:
export ADAPTYV_API_KEY="your_api_key_here"

Or create a .env file:

ADAPTYV_API_KEY=your_api_key_here

Installation

安裝 the required package using uv:

uv pip install requests python-dotenv

Basic Usage

Submit protein sequences for testing:

import os
import requests
from dotenv import load_dotenv

load_dotenv()

api_key = os.getenv("ADAPTYV_API_KEY")
base_url = "https://kq5jp7qj7wdqklhsxmovkzn4l40obksv.lambda-url.eu-central-1.on.aws"

headers = {
    "Authorization": f"Bearer {api_key}",
    "Content-Type": "application/json"
}

# Submit experiment
response = requests.post(
    f"{base_url}/experiments",
    headers=headers,
    json={
        "sequences": ">protein1\nMKVLWALLGLLGAA...",
        "experiment_type": "binding",
        "webhook_url": "https://your-webhook.com/callback"
    }
)

experiment_id = response.json()["experiment_id"]

Available Experiment Types

Adaptyv supports multiple assay types:

  • Binding assays - Test protein-target interactions using biolayer interferometry
  • Expression testing - Measure protein expression levels
  • Thermostability - Characterize protein thermal stability
  • Enzyme activity - Assess enzymatic function

See reference/experiments.md for detailed information on each experiment type and workflows.

Protein Sequence Optimization

Before submitting sequences, optimize them for better expression and stability:

Common issues to address:

  • Unpaired cysteines that create unwanted disulfides
  • Excessive hydrophobic regions causing aggregation
  • Poor solubility predictions

Recommended tools:

  • NetSolP / SoluProt - Initial solubility filtering
  • SolubleMPNN - Sequence redesign for improved solubility
  • ESM - Sequence likelihood scoring
  • ipTM - Interface stability assessment
  • pSAE - Hydrophobic exposure quantification

See reference/protein_optimization.md for detailed optimization workflows and tool usage.

API 參考

For complete API documentation including all endpoints, request/response formats, and authentication details, see reference/api_reference.md.

範例

For concrete code examples covering common use cases (experiment submission, status tracking, result retrieval, batch processing), see reference/examples.md.

重要注意事項

  • Platform is currently in alpha/beta phase with features subject to change
  • Not all platform features are available via API yet
  • Results typically delivered in ~21 days
  • Contact support@adaptyvbio.com for access requests or questions
  • Suitable for high-throughput AI-driven protein design workflows