Verified:GitHub

adaptyv

Automates protein testing and validation through a cloud laboratory platform.

1|Updated Jan 14, 2026

Search Tags:#bioinformatics #drug discovery #experimental validation #protein design #biotechnology #sequence optimization

Ready to run

npx skills add https://github.com/Sologa/codex-pipeline --skill adaptyv-sologa

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: adaptyv
Source: https://github.com/Sologa/codex-pipeline/tree/main/.codex/skills/adaptyv
Command: npx skills add https://github.com/Sologa/codex-pipeline --skill adaptyv-sologa

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill streamlines the process of designing, testing, and optimizing proteins by automating experimental validation and data analysis.

Core Features & Use Cases

Automated Experiment Submission: Submit protein sequences for various assays (binding, expression, thermostability, enzyme activity) via API.
Computational Optimization: Utilize tools like NetSolP, SoluProt, SolubleMPNN, and ESM to improve protein expression and stability before wet-lab validation.
Data Analysis & Tracking: Monitor experiment status, download results, and analyze binding kinetics, expression yields, and more.
Use Case: Design a new antibody, computationally optimize its sequence for better expression, submit it for binding assays against a target antigen, and receive detailed kinetic data.

Quick Start

Use the adaptyv skill to submit protein sequences for expression testing.

Frequently Asked Questions about adaptyv

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

FAQPage Schema

How do I automate protein testing and validation for binding assays?▼

Automate protein testing by submitting sequences via API to a cloud laboratory for binding assays, expression testing, thermostability, and enzyme activity. You can track experiment status and retrieve detailed kinetic data and expression yields.

Can I computationally optimize protein sequences for expression before wet-lab validation?▼

Yes, computationally optimize protein sequences before wet-lab validation using integrated tools like NetSolP, SoluProt, SolubleMPNN, and ESM to improve protein expression and stability.

What's the best way to track experiment status and download results for protein expression testing?▼

Track experiment status and download results for protein expression testing through the automated cloud laboratory platform, which facilitates monitoring and retrieves detailed data on binding kinetics and expression yields.

Does the platform support enzyme activity and thermostability assays for drug discovery?▼

Yes, the platform supports enzyme activity and thermostability assays for drug discovery, allowing you to submit protein sequences for various experimental validations and retrieve detailed analytical results.

How do I submit antibody sequences for binding assays against a target antigen?▼

Submit antibody sequences for binding assays against a target antigen via API to the cloud laboratory platform, which facilitates experimental submission, tracking, and retrieval of detailed kinetic data.

What are the limitations of computational protein sequence optimization before experimental validation?▼

Computational protein sequence optimization using tools like SolubleMPNN and ESM enhances design workflows but requires subsequent wet-lab validation to confirm actual protein expression, stability, and binding kinetics.