adaptyv

Automate protein sequence optimization and validation experiments via API.

Updated Dec 17, 2025
One-click install
npx skills add https://github.com/robotlearning123/claude-scientific-skills --skill adaptyv-robotlearning123
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: adaptyv
Source: https://github.com/robotlearning123/claude-scientific-skills/tree/main/scientific-skills/adaptyv
Command: npx skills add https://github.com/robotlearning123/claude-scientific-skills --skill adaptyv-robotlearning123

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires requests, python-dotenv, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill enables users to optimize and validate protein sequences through automated experiments, streamlining the process of protein design and validation.

Core Features & Use Cases

  • Protein Testing & Validation: Run experiments for protein optimization including binding assays, expression testing, thermostability, and enzyme activity assays.
  • Protein Sequence Optimization: Offers computational tools like NetSolP, SoluProt, SolubleMPNN, ESM for better protein expression and stability.
  • API Integration: Submit experiments via API and track experiment status, download results, and optimize protein sequences using computational tools.
  • Use Case: For a scientist designing a new antibody, this Skill can automate the process of expressing the protein, testing its binding affinity to its target, and optimizing the sequence for better expression and stability.

Quick Start

Use the adaptyv skill to submit a protein sequence for binding assay. First, ensure your API key is set:

export ADAPTYV_API_KEY="your_api_key_here"

Then, run the following command to submit a sequence:

import requests
api_key = "your_api_key_here"
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"
    }
)

Frequently Asked Questions about adaptyv

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate protein sequence optimization and binding assays?

Automate protein sequence optimization by submitting sequences via API to a cloud-based platform for experimental testing. You can run binding assays, expression testing, and stability checks, then track status and download results automatically through webhooks.

What computational tools are available for improving protein expression and stability?

Computational tools for improving protein expression and stability include NetSolP, SoluProt, SolubleMPNN, and ESM. These tools help optimize protein sequences computationally before or alongside running cloud-based physical validation experiments.

How do I submit a protein sequence for expression testing via API?

Submit a protein sequence for expression testing by sending a POST request to the platform's experiments endpoint. Include your API key in the authorization header, and provide the sequence data, experiment type, and webhook URL in the JSON payload.

Do I need an API key to run cloud-based protein validation experiments?

Yes, you need an API key to authenticate and run cloud-based protein validation experiments. You must set the ADAPTYV_API_KEY environment variable and include it as a Bearer token in the authorization header of your API requests.

Can I track experiment status and get results automatically for protein design assays?

Yes, you can track experiment status and get results automatically for protein design assays by specifying a webhook URL in your API submission. The platform sends callbacks to your webhook, and you can download the experimental results once processing is complete.

Related Skills