adaptyv

Submit protein sequences for automated assays and computational optimization via API.

Updated Mar 10, 2026
One-click install
npx skills add https://github.com/Yezez9/Research-Agent --skill adaptyv-yezez9
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: adaptyv
Source: https://github.com/Yezez9/Research-Agent/tree/main/scientific-skills/adaptyv
Command: npx skills add https://github.com/Yezez9/Research-Agent --skill adaptyv-yezez9

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill automates the process of designing, testing, and validating proteins, streamlining the discovery and optimization of new protein therapeutics and enzymes.

Core Features & Use Cases

  • Automated Experiment Submission: Submit protein sequences for various assays (binding, expression, thermostability, enzyme activity) via API.
  • Protein Sequence Optimization: Utilize computational tools to improve protein solubility, expression, and stability before experimental validation.
  • Use Case: A researcher has designed 50 novel antibody variants. They can use this Skill to computationally optimize sequences for solubility, submit them for binding assays against a target antigen, and receive experimental results within weeks, accelerating drug discovery.

Quick Start

Submit protein sequences for expression testing by setting the ADAPTYV_API_KEY environment variable and running the provided Python script.

Frequently Asked Questions about adaptyv

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

FAQPage Schema
How do I submit protein sequences for automated experimental validation?

To submit protein sequences for automated experimental validation, configure the ADAPTYV_API_KEY environment variable and execute the included Python script to send assay requests via the cloud laboratory API.

What computational tools can I use for protein sequence optimization before expression testing?

For protein sequence optimization, you can use NetSolP, SoluProt, SolubleMPNN, and ESM to computationally improve protein solubility, expression, and stability before submitting sequences for experimental validation.

What types of protein assays are available through cloud laboratory automation?

Available cloud laboratory protein assays include binding assays, expression testing, thermostability measurements, and enzyme activity assays to validate novel protein therapeutics and enzymes.

Can I use this for large-scale protein engineering like testing 50 antibody variants?

Yes, you can computationally optimize large batches of protein sequences for solubility and submit them for binding assays against a target antigen, receiving experimental results within weeks to accelerate drug discovery.

Do I need specific Python dependencies to run the protein testing and validation scripts?

You need the requests and python-dotenv Python dependencies installed to run the protein testing scripts and manage environment variables for API authentication with the cloud laboratory service.