Date: November 6, 2024
Time: 10:00 AM PDT, 12:00 PM CDT, 1:00 PM EDT
The discovery and optimization of antibodies, whether through traditional methods or with the assistance of artificial intelligence, necessitates rapid and reliable data generation. Here we introduce a high-throughput semi-automated platform for synthesizing microgram amounts of monoclonal antibodies. Our platform seamlessly integrates DNA normalization, transfection, antibody purification, and buffer exchange within our Manufacturing Execution System (MES), ensuring comprehensive traceability throughout the entire workflow. Our data showcases excellent inter and intra-batch reproducibility, ensuring consistent and reliable results. These outcomes render our platform ideal for training machine learning algorithms to predict desirable antibody features. Overall, our streamlined and efficient approach addresses the increasing demand for monoclonal antibodies, facilitating advancements in therapeutic and diagnostic applications.
Learning Objectives
- How late stage failures can be mitigated with early detection using automated small-scale synthesis for screening
- How sequence optimization can improve antibody yields from mammalian cell expression
- How scale-up consistency is important for downstream development efforts
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