adaptyv

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Adaptyv

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.
Adaptyv是一个提供自动化蛋白质测试与验证服务的云端实验室平台。你可以通过API或网页界面提交蛋白质序列,约21天后即可获取实验结果。

Quick Start

快速开始

Authentication Setup

认证设置

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:
bash
export ADAPTYV_API_KEY="your_api_key_here"
Or create a
.env
file:
ADAPTYV_API_KEY=your_api_key_here
Adaptyv需要API认证。请设置你的凭证:
  1. 联系support@adaptyvbio.com申请API访问权限(平台目前处于alpha/beta测试阶段)
  2. 接收你的API访问令牌
  3. 设置环境变量:
bash
export ADAPTYV_API_KEY="your_api_key_here"
或创建一个
.env
文件:
ADAPTYV_API_KEY=your_api_key_here

Installation

安装

Install the required package using uv:
bash
uv pip install requests python-dotenv
使用uv安装所需包:
bash
uv pip install requests python-dotenv

Basic Usage

基础使用

Submit protein sequences for testing:
python
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"
}
提交蛋白质序列进行测试:
python
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

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"]
undefined
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"]
undefined

Available Experiment Types

可用实验类型

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.
Adaptyv支持多种试验类型:
  • 结合试验 - 使用生物层干涉法测试蛋白质-靶点相互作用
  • 表达测试 - 测量蛋白质表达水平
  • 热稳定性 - 表征蛋白质热稳定性
  • 酶活性 - 评估酶功能
如需了解每种实验类型和工作流的详细信息,请查看
reference/experiments.md

Protein Sequence Optimization

蛋白质序列优化

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.
提交序列前,可对其进行优化以提升表达量和稳定性:
需要解决的常见问题:
  • 未配对的半胱氨酸会形成不必要的二硫键
  • 过多的疏水区域导致聚集
  • 溶解度预测结果不佳
推荐工具:
  • NetSolP / SoluProt - 初步溶解度筛选
  • SolubleMPNN - 重新设计序列以提升溶解度
  • ESM - 序列可能性评分
  • ipTM - 界面稳定性评估
  • pSAE - 疏水性暴露量化
如需了解详细的优化工作流和工具使用方法,请查看
reference/protein_optimization.md

API Reference

API参考

For complete API documentation including all endpoints, request/response formats, and authentication details, see
reference/api_reference.md
.
如需包含所有端点、请求/响应格式和认证详情的完整API文档,请查看
reference/api_reference.md

Examples

示例

For concrete code examples covering common use cases (experiment submission, status tracking, result retrieval, batch processing), see
reference/examples.md
.
如需涵盖常见用例(实验提交、状态跟踪、结果获取、批量处理)的具体代码示例,请查看
reference/examples.md

Important Notes

重要说明

  • 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
  • 平台目前处于alpha/beta测试阶段,功能可能会有所变更
  • 并非所有平台功能都已通过API开放
  • 结果通常在约21天内交付
  • 如有访问请求或问题,请联系support@adaptyvbio.com
  • 适用于高通量AI驱动的蛋白质设计工作流