Does this skill help with protein solubility issues?

Yes, it includes workflows for sequence optimization using tools like NetSolP, SoluProt, and SolubleMPNN to address aggregation and improve solubility before testing.

What types of protein experiments are supported?

Adaptyv supports multiple assay types including binding assays (biolayer interferometry), expression testing, thermostability characterization, and enzyme activity assays.

Is an API key required to use Adaptyv?

Yes, users must request API access from Adaptyv Bio and configure the ADAPTYV_API_KEY environment variable to use the skill.

How long does it take to receive experimental results?

Once sequences are submitted via the API, experimental results are typically delivered in approximately 21 days.

What is the Adaptyv skill for Claude Code?

It is a specialized capability that allows Claude to interface with Adaptyv's cloud laboratory, enabling users to automate protein sequence testing and wet-lab validation.

Adaptyv Protein Lab Integration

Name: Adaptyv Protein Lab Integration
Author: henriquescastilho

byhenriquescastilho

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数据科学与机器学习

Automates protein design validation by submitting sequences for experimental wet-lab testing and optimization via the Adaptyv cloud laboratory platform.

Adaptyv is a specialized Claude Code skill that bridges the gap between computational protein design and physical laboratory validation. It allows researchers and bioengineers to programmatically submit protein sequences for automated testing, including binding assays, expression measurements, and thermostability characterization. The skill streamlines the protein engineering lifecycle by integrating advanced computational optimization tools—such as ESM and SolubleMPNN—to improve expression and solubility before lab submission, providing a comprehensive interface for managing high-throughput biotech workflows directly from the terminal.

主要功能

01Support for binding assays, thermostability, and enzyme activity tests

02Automated wet-lab experiment submission via API integration

03Protein sequence optimization for solubility and expression success

04Integration with computational tools like NetSolP, ESM, and SolubleMPNN

051 GitHub stars

06Real-time experiment status tracking and result retrieval

使用场景

01Designing and validating high-affinity protein binders for drug discovery pipelines

02Automating high-throughput protein engineering workflows using AI-driven design loops

03Optimizing recombinant protein sequences for improved solubility and expression levels

主要功能

01Support for binding assays, thermostability, and enzyme activity tests

02Automated wet-lab experiment submission via API integration

03Protein sequence optimization for solubility and expression success

04Integration with computational tools like NetSolP, ESM, and SolubleMPNN

051 GitHub stars

06Real-time experiment status tracking and result retrieval

使用场景

01Designing and validating high-affinity protein binders for drug discovery pipelines

02Automating high-throughput protein engineering workflows using AI-driven design loops

03Optimizing recombinant protein sequences for improved solubility and expression levels