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adaptyv

adaptyv

github.com/leonchaoxOther99070 installsUpdated 15w ago
Repository

About adaptyv

Adaptyv is a cloud laboratory platform for researchers and teams validating designed proteins. Users submit sequences through an API or web interface for experimental assays, with results typically delivered in about 21 days.

Key features

  1. 01Submit protein sequences via API or web
  2. 02Binding assays using biolayer interferometry
  3. 03Protein expression testing
  4. 04Thermostability characterization
  5. 05Enzyme activity assessment

Use cases

  1. 01Testing protein-target binding
  2. 02Measuring protein expression
  3. 03Evaluating thermal stability
  4. 04Assessing enzyme function

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/leonchaox/qinyan-academic-skills --skill adaptyv

After installing, type/adaptyvin Claude Code to confirm it loaded.

Bundled files

References and scripts installed along with SKILL.md.

reference/
api_reference.md
examples.md
experiments.md
protein_optimization.md

Details

From the project README

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.

Quick Start

Authentication Setup

Adaptyv requires API authentication. Set up your credentials:

  1. Contact [email protected] 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

Install 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 Reference

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

Examples

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

Important Notes

  • 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 [email protected] for access requests or questions
  • Suitable for high-throughput AI-driven protein design workflows

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