Adaptyv is a cloud-based laboratory platform that provides automated protein testing and validation services via API.

How long does it take to get experimental results?

Experimental results are typically delivered approximately 21 days after the protein sequences are submitted.

What types of protein assays can I run?

The platform supports binding assays (biolayer interferometry), expression testing, thermostability characterization, and enzyme activity assays.

How do I get API access for Adaptyv?

Since the platform is in alpha/beta, you must contact support@adaptyvbio.com to request an API access token.

Which optimization tools are integrated with this skill?

The skill supports optimization workflows using NetSolP, SoluProt, SolubleMPNN, ESM, ipTM, and pSAE for improved solubility and stability.

Adaptyv Protein Lab

Name: Adaptyv Protein Lab
Author: Microck

byMicrock

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Ciencia de Datos y ML

Streamlines protein sequence design and wet-lab validation through automated cloud laboratory testing and sequence optimization.

Acerca de

Adaptyv provides a bridge between computational protein design and physical laboratory validation by offering an automated platform for high-throughput protein testing. This skill enables Claude to assist researchers in submitting sequences for assays—including binding, expression, thermostability, and enzyme activity—directly via API. It also facilitates sequence optimization using specialized tools like SolubleMPNN and ESM to ensure better expression and stability before synthesis, making it ideal for iterative, AI-driven protein engineering workflows.

Características Principales

Support for multiple assay types including binding, expression, and thermostability
Real-time experiment status tracking and automated result retrieval
Automated protein sequence submission for wet-lab validation via API
81 GitHub stars
Integrated sequence optimization using SolubleMPNN, NetSolP, and ESM models
High-throughput workflow management for AI-driven protein engineering

Casos de Uso

Managing end-to-end protein design cycles from sequence generation to wet-lab results
Optimizing protein solubility and expression levels using computational pre-filtering
Designing and validating novel protein binders with automated experimental feedback

Acerca de

Características Principales

Support for multiple assay types including binding, expression, and thermostability
Real-time experiment status tracking and automated result retrieval
Automated protein sequence submission for wet-lab validation via API
81 GitHub stars
Integrated sequence optimization using SolubleMPNN, NetSolP, and ESM models
High-throughput workflow management for AI-driven protein engineering

Casos de Uso

Managing end-to-end protein design cycles from sequence generation to wet-lab results
Optimizing protein solubility and expression levels using computational pre-filtering
Designing and validating novel protein binders with automated experimental feedback