Can I optimize sequences before submitting them to the lab?

Yes, the skill provides workflows for sequence optimization using computational tools like NetSolP, SoluProt, and SolubleMPNN to improve the likelihood of successful expression.

Does this skill require specific API credentials?

Yes, you must request API access from Adaptyv and configure the ADAPTYV_API_KEY environment variable to use the platform's features.

How long does it take to receive experimental results?

Experimental validation typically takes approximately 21 days from the time of submission through the Adaptyv platform.

What types of protein experiments does Adaptyv support?

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

Adaptyv Protein Lab

Name: Adaptyv Protein Lab
Author: ricable

byricable

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Data Science & ML

Connects Claude to cloud laboratory services for automated protein testing, sequence optimization, and wet-lab validation.

About

Adaptyv bridges the gap between computational protein design and physical experimentation by providing an automated wet-lab interface. This skill enables Claude to optimize protein sequences for solubility and expression using advanced models like SolubleMPNN and ESM, submit designs for physical testing via API, and manage experimental workflows for binding assays, thermostability, and enzyme activity with results delivered in approximately 21 days.

Key Features

Integration with computational tools like SoluProt and NetSolP
Support for binding, thermostability, and enzyme activity assays
1 GitHub stars
Automated wet-lab experiment submission and tracking
Protein sequence optimization for solubility and expression
API-driven workflow management for high-throughput protein design

Use Cases

Validating AI-generated protein designs through high-throughput binding assays
Optimizing protein sequences for improved expression before lab manufacturing
Managing end-to-end protein design-to-validation pipelines from the terminal

About

Key Features

Integration with computational tools like SoluProt and NetSolP
Support for binding, thermostability, and enzyme activity assays
1 GitHub stars
Automated wet-lab experiment submission and tracking
Protein sequence optimization for solubility and expression
API-driven workflow management for high-throughput protein design

Use Cases

Validating AI-generated protein designs through high-throughput binding assays
Optimizing protein sequences for improved expression before lab manufacturing
Managing end-to-end protein design-to-validation pipelines from the terminal