Structure-based machine learning was leveraged to design predicted antibody binders against the GPCR target C5aR1. The CDR sequences of these predicted binders were then used to construct a de-novo phage-display library. Twist’s oligo-synthesis platform enabled fabrication of a highly diverse CDR-shuffle library with excellent variant representation and with no unwanted bias or motifs. Following panning, several high-affinity leads were identified that functionally blocked C5aR1 signaling in cellular assays.  This symposium was part of the event Antibody Engineering & Therapeutics Europe 2024.

（日本語での講演）

RNA をベースとしたワークフローと分析ソリューションの組み合わせにより、腫瘍生物学における理解がどのように深まるのかについてお読みください。