adaptyv
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ChineseAdaptyv
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:
- Contact support@adaptyvbio.com to request API access (platform is in alpha/beta)
- Receive your API access token
- Set environment variable:
bash
export ADAPTYV_API_KEY="your_api_key_here"Or create a file:
.envADAPTYV_API_KEY=your_api_key_hereAdaptyv需要API认证。请设置你的凭证:
- 联系support@adaptyvbio.com申请API访问权限(平台目前处于alpha/beta测试阶段)
- 接收你的API访问令牌
- 设置环境变量:
bash
export ADAPTYV_API_KEY="your_api_key_here"或创建一个文件:
.envADAPTYV_API_KEY=your_api_key_hereInstallation
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-dotenvBasic 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"]
undefinedresponse = 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"]
undefinedAvailable 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 for detailed information on each experiment type and workflows.
reference/experiments.mdAdaptyv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.mdProtein 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 for detailed optimization workflows and tool usage.
reference/protein_optimization.md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.mdAPI 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.mdExamples
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.mdImportant 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