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.

(Presentado en japonés)

Descubra cómo se puede asociar un flujo de trabajo basado en ARN con una solución analítica para entender más a fondo la biología de los tumores.