Therapeutic Antibody Profiling with Genedata Biologics — AI & ML Framework for Cancer Drug Discovery
This webinar, presented by Stefan Kraemer, Data Scientist, and Benedetta Leoni, Computational Biologist, highlights how BioCopy leverages Genedata Biologics to profile therapeutic antibodies against peptide — HLA targets and manage the complex, high-volume data generated in modern cancer drug discovery. Through real-world examples, the session demonstrates how BioCopy integrates antibody registration, high-throughput kinetic profiling, and end-to-end characterization workflows into a single, traceable data environment. Attendees will gain insight into how structured data management, system interoperability, and AI-ready workflows enable scalable specificity analysis, support off-target prediction, and accelerate decision-making across antibody and TCR‑mimetic discovery programs.
Who should watch:
- Bioinformatics & Computational Biology Professionals: Learn how BioCopy manages large-scale interaction data, AI-driven off-target predictions, and downstream analyses.
- Scientists in Antibody & TCR‑M Discovery: See how high-throughput peptide‑HLA profiling and kinetic data are captured, structured, and visualized.
- R&D Managers & Program Leads: Understand how full workflow digitization enhances traceability, accelerates decisions, and supports TCRM development.
- Lab Managers & Technical Leads: Explore how complex molecules, multi-step processes, and high-volume assay results are efficiently tracked in Genedata Biologics.
- IT Specialists: Learn about system integration, ELN synchronization, and maintaining a scalable, FAIR-compliant data environment.
- Quality & Compliance Teams: See how unified data management ensures consistent, structured, and audit-ready tracking across the discovery workflow.