How long does it take to receive experimental results?

Results are typically delivered in approximately 21 days following the submission of sequences to the Adaptyv platform.

What experiment types can I run with the Adaptyv skill?

The skill supports various assay types including binding assays (biolayer interferometry), expression testing, thermostability characterization, and enzyme activity assays.

Which optimization tools are included in this skill?

It provides access to tools like NetSolP and SoluProt for solubility filtering, SolubleMPNN for sequence redesign, and ESM for sequence likelihood scoring.

Does this skill require specific authentication?

Yes, you must obtain an API access token from Adaptyv Bio and set it as an environment variable (ADAPTYV_API_KEY) to submit experiments.

Adaptyv Protein Testing

Name: Adaptyv Protein Testing
Author: K-Dense-AI

byK-Dense-AI

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3,717

Data Science & ML

Connects Claude to the Adaptyv cloud laboratory platform for automated protein design validation and experimental testing.

About

Adaptyv is a specialized scientific skill that enables Claude to interface with a high-throughput cloud laboratory for automated protein testing. It facilitates the entire protein engineering lifecycle—from computational sequence optimization using tools like SolubleMPNN and ESM to physical wet-lab validation. Researchers can use this skill to submit sequences for binding assays, expression testing, and thermostability measurements directly via API, track experiment progress, and download results, making it an essential tool for AI-driven protein design and discovery workflows.

Key Features

Advanced protein sequence optimization using SolubleMPNN and ESM models
3,717 GitHub stars
High-throughput integration for AI-driven protein design cycles
Comprehensive assay support including binding, expression, and thermostability
Automated wet-lab validation for protein sequences via cloud API
Real-time experiment submission and status tracking capabilities

Use Cases

Submitting AI-designed protein sequences for automated binding and expression assays
Managing complex protein engineering workflows with integrated wet-lab validation
Optimizing protein solubility and stability before physical laboratory testing

About

Key Features

Advanced protein sequence optimization using SolubleMPNN and ESM models
3,717 GitHub stars
High-throughput integration for AI-driven protein design cycles
Comprehensive assay support including binding, expression, and thermostability
Automated wet-lab validation for protein sequences via cloud API
Real-time experiment submission and status tracking capabilities

Use Cases

Submitting AI-designed protein sequences for automated binding and expression assays
Managing complex protein engineering workflows with integrated wet-lab validation
Optimizing protein solubility and stability before physical laboratory testing