adaptyv

Automate protein testing by submitting protein sequences to a cloud laboratory platform for binding assays, expression testing, and thermostability measurements. The workflow integrates computational sequence optimization with wet-lab validation to streamline experimental validation processes.

Available experimental validation assays include binding assays, expression testing, thermostability measurements, and enzyme activity assays. These tests support protein design workflows by providing wet-lab validation for computationally optimized protein sequences.

Yes, you can optimize protein sequences for improved expression and stability using integrated computational tools. This sequence optimization occurs before experimental validation, allowing researchers to enhance predicted solubility and stability prior to submitting sequences for testing.

Run binding assays by submitting your newly designed therapeutic protein sequences through the automated cloud laboratory platform. The system manages the protein design workflow and facilitates the experimental validation process directly.

You need the `requests` and `python-dotenv` dependencies to manage assay automation for protein design. These Python libraries facilitate integration with the cloud laboratory platform and configuration management for your experimental validation workflows.

Integrate computational biology tools with wet-lab protein testing by using an automated platform that connects sequence optimization with experimental validation. This approach manages protein design workflows end-to-end, from computational enhancement to physical assay automation.