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

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