Does this skill help with protein sequence design?

Yes, it includes specialized tools for optimizing sequences for better solubility and stability using computational models like SolubleMPNN and ESM.

Adaptyv is a cloud laboratory platform that automates protein testing, providing experimental results for designed sequences in approximately 21 days.

Who is this skill for?

It is designed for protein engineers and researchers using AI to design proteins who need real-world experimental validation without managing their own wet-lab.

What types of protein assays can I perform?

The skill supports binding assays, expression testing, thermostability measurements, and enzyme activity assays.

How do I authenticate the Adaptyv skill?

You must request an API access token from Adaptyv support and set it as an environment variable named ADAPTYV_API_KEY.

Adaptyv Protein Engineering

Name: Adaptyv Protein Engineering
Author: Activer007

byActiver007

0•

Ciencia de Datos y ML

Facilitates automated protein testing and validation through cloud-based laboratory services and sequence optimization tools.

Adaptyv integrates Claude with a specialized cloud laboratory platform designed for the automated testing and validation of protein designs. It enables users to submit protein sequences for wet-lab assays—including binding, expression, and thermostability testing—directly via API while providing computational workflows for sequence optimization using models like ESM and SolubleMPNN. This skill is essential for researchers bridging the gap between generative protein design and physical experimental results, streamlining the cycle from digital sequence to validated biological data.

Características Principales

01End-to-end experiment tracking and results retrieval via API

02High-throughput workflow management for AI-driven protein design

03Automated wet-lab experiment submission for binding, expression, and thermostability

04Integration with biophysical scoring tools including ESM and pSAE

05Protein sequence optimization using AI tools like NetSolP and SolubleMPNN

060 GitHub stars

Casos de Uso

01Managing large-scale protein design workflows with automated experimental feedback

02Validating AI-generated protein sequences with physical binding assays

03Optimizing protein solubility and expression levels before laboratory synthesis

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add activer007/ordinary-claude-skills adaptyv

For use in Claude.ai and ChatGPT

Download Skill