How do I get an API key for Adaptyv?

The platform is currently in alpha/beta. You can request an API access token by contacting the Adaptyv team at support@adaptyvbio.com.

How long does it take to get experimental results?

Experimental results are typically delivered via the platform or API in approximately 21 days after submission.

What types of protein assays does Adaptyv support?

Adaptyv supports a variety of assays including binding assays (biolayer interferometry), expression testing, thermostability characterization, and enzyme activity assays.

Can I use this for high-throughput protein engineering?

Yes, Adaptyv is specifically designed to facilitate high-throughput, AI-driven protein design workflows with automated wet-lab validation.

Which ML tools are used for sequence optimization?

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

Adaptyv Protein Design

Name: Adaptyv Protein Design
Author: x-cmd

byx-cmd

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数据科学与机器学习

Automates protein sequence optimization and experimental validation through a cloud-based wet-lab platform.

关于

Adaptyv integrates AI-driven protein design with high-throughput wet-lab validation, allowing developers to submit sequences for automated testing via API. It streamlines the complex workflow of protein engineering by providing binding assays, expression testing, and thermostability measurements with results delivered in approximately 21 days. By bridging the gap between computational design and physical validation, this skill enables more reliable results through integrated optimization tools like SolubleMPNN, NetSolP, and ESM combined with real-world laboratory feedback.

主要功能

8 GitHub stars
Real-world wet-lab assay results including binding and expression
Automated protein testing and validation
Sequence optimization using ML tools like ESM and SolubleMPNN
Comprehensive workflow management for protein engineering
API-driven experiment submission and tracking

使用场景

Characterizing enzyme activity and thermostability for novel protein designs
Validating protein-target interactions using automated binding assays
Optimizing protein sequences for improved solubility and expression levels

关于

主要功能

8 GitHub stars
Real-world wet-lab assay results including binding and expression
Automated protein testing and validation
Sequence optimization using ML tools like ESM and SolubleMPNN
Comprehensive workflow management for protein engineering
API-driven experiment submission and tracking

使用场景

Characterizing enzyme activity and thermostability for novel protein designs
Validating protein-target interactions using automated binding assays
Optimizing protein sequences for improved solubility and expression levels