Automation of protein crystallization scaleup via Opentrons-2 liquid handling.

ABSTRACT: In this study we present an approach for optimizing protein crystallization trials at the multi-microliter scale utilizing the Opentrons-2 liquid handling robot. Our research demonstrates the robot's capability to automate 24-well sitting drop protein crystallization trials. Using Python scripts for precise control, the study explores the robot's application in mixing and setting up crystallization plates with a model protein (hen egg white lysozyme) and a periplasmic protein from Campylobacter jejuni, a crystal utilized in the Snow lab as a biomaterial for nanotechnology that requires large, consistent batches. In a head-to-head comparison with manual 24-well plate setup, crystal growth statistics indicate our approach can reduce manual labor and increase reliability in protein crystalliz

SUBMITTER: DeRoo JB 

PROVIDER: S-EPMC12229254 | biostudies-literature | 2025 Jun

REPOSITORIES: biostudies-literature