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adaptyv

Submit protein sequences for automated experimental assays and computational optimization.

Updated Mar 10, 2026
Search Tags:#drug discovery#experimental validation#protein design#computational biology#biotechnology#sequence optimization
One-click install
npx skills add https://github.com/felixboehm/biochem-allergy --skill adaptyv-felixboehm
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: adaptyv
Source: https://github.com/felixboehm/biochem-allergy/tree/main/.claude/skills/adaptyv
Command: npx skills add https://github.com/felixboehm/biochem-allergy --skill adaptyv-felixboehm

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires requests, python-dotenv, bio, torch, fair-esm, soluble-mpnn, colabfold, biopython, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill streamlines the process of designing and validating new proteins by automating experimental testing and providing computational optimization tools.

Core Features & Use Cases

  • Automated Protein Testing: Submit protein sequences for experimental validation including binding assays, expression testing, thermostability, and enzyme activity.
  • Computational Optimization: Utilize tools like SolubleMPNN and ESM to redesign sequences for improved solubility and stability before experimental validation.
  • Use Case: A researcher designing a new therapeutic antibody can submit multiple antibody variants for binding affinity testing and expression yield analysis, receiving experimental results to guide further design iterations.

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 submit protein sequences for experimental validation?▼

Protein sequence redesign and solubility prediction are handled using computational tools like SolubleMPNN and ESM, enabling sequence optimization for improved solubility and stability prior to experimental validation.

Can I run computational sequence optimization before ordering protein assays?▼

Computational sequence optimization can be run before ordering assays by utilizing tools like SolubleMPNN and ESM to redesign sequences, predicting and improving protein solubility and stability prior to experimental validation.

What experimental assays are available for therapeutic antibody testing?▼

Protein sequence redesign and solubility prediction are handled using computational tools like SolubleMPNN and ESM, enabling sequence optimization for improved solubility and stability prior to experimental validation.

Does protein testing and validation require specific Python dependencies?▼

Protein sequence redesign and solubility prediction are handled using computational tools like SolubleMPNN and ESM, enabling sequence optimization for improved solubility and stability prior to experimental validation.

How does automated protein testing streamline the design workflow?▼

Protein sequence redesign and solubility prediction are handled using computational tools like SolubleMPNN and ESM, enabling sequence optimization for improved solubility and stability prior to experimental validation.

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