How long does it take to receive experimental results?

Experimental validation results are typically delivered in approximately 21 days after submission through the platform.

Does this skill require specific authentication?

Yes, users must obtain an API access token from Adaptyv and configure the ADAPTYV_API_KEY environment variable to use the skill.

What experiment types are supported by Adaptyv?

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

Which computational tools are used for protein optimization?

The skill utilizes tools such as NetSolP, SoluProt, SolubleMPNN, ESM, and ipTM to filter and redesign sequences for better stability and solubility.

Can I use this for high-throughput protein discovery?

Absolutely. This skill is specifically designed to handle complex, multi-step reasoning and automated workflows required for high-throughput, AI-driven protein design.

Adaptyv Protein Engineering

Name: Adaptyv Protein Engineering
Author: Blurjp

byBlurjp

データサイエンスとML

Automates protein testing and validation by connecting Claude to cloud-based wet-lab services and computational sequence optimization tools.

概要

Adaptyv integrates Claude with a sophisticated cloud-based laboratory platform to streamline protein design and experimental validation. It enables researchers to submit protein sequences for automated assays—including binding, expression, thermostability, and enzyme activity—while providing tools to optimize sequences for solubility and expression using models like ESM and SoluProt. By bridging the gap between computational design and physical lab results, this skill allows for high-throughput, AI-driven protein engineering workflows with automated status tracking and data retrieval.

主な機能

Thermostability and enzyme activity characterization workflows
Automated wet-lab submission for binding and expression assays
Real-time experiment status tracking and result downloading
Protein sequence optimization using NetSolP, SoluProt, and ESM
0 GitHub stars
API integration for high-throughput protein design pipelines

ユースケース

Managing large-scale AI protein discovery campaigns with experimental feedback
Optimizing protein solubility and stability before physical synthesis
Validating de novo protein designs through automated wet-lab assays

概要

主な機能

Thermostability and enzyme activity characterization workflows
Automated wet-lab submission for binding and expression assays
Real-time experiment status tracking and result downloading
Protein sequence optimization using NetSolP, SoluProt, and ESM
0 GitHub stars
API integration for high-throughput protein design pipelines

ユースケース

Managing large-scale AI protein discovery campaigns with experimental feedback
Optimizing protein solubility and stability before physical synthesis
Validating de novo protein designs through automated wet-lab assays