In-Vitro Antibody Discovery Masterclass: Mining Display Libraries for Top Leads

In today’s fast-moving therapeutic landscape, antibody discovery teams need to make lead decisions earlier without being slowed down by fragmented tools or complex, custom bioinformatics pipelines. ​This masterclass is designed for scientists and discovery leaders who want to go beyond theory and learn practical, best-in-class approaches to prioritizing antibody leads and de-risking programs early. Through real-world examples and end-to-end workflows, you’ll learn how top pharma and biotech teams move from raw sequencing data to high-quality antibody candidates—faster and with greater confidence. ​What you’ll learn: ​How to perform clustering and motif-level analysis to uncover emergent clones and immune responses across selection rounds ​Techniques to track enrichment and liabilities, monitor clone dynamics over time or between arms (immunization, treatment, timepoint), and identify convergent B-cell responses ​Approaches to prioritizing candidates based on developability to identify risk early ​Real-world workflows for lead selection, efficiently moving from hundreds or thousands of sequences to best-in-class antibody leads without coding ​Insights into how top pharma/biotech teams streamline antibody discovery and optimize their workflows for faster results ​Who should attend: ​Biologists, immunologists, scientists working on in-vitro antibody discovery ​Bioinformaticians and computational biologists seeking to reduce bottlenecks in their analysis ​Project leads and decision‑makers in biotech/pharma who want to streamline the antibody‑lead pipeline, reduce risk and time‑to‑lead Request your license at platforma.bio