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Machine Learning, Artificial Intelligence and Computational Modeling
1293 Establishing the preclinical PKPD relationship for NM32–2668 a ROR1 targeting T cell engager FREE
Hitesh Mistry1, Fernando Ortega1, Bithi Chatterjee2, Nicole Bassler2, Niels Kirk2, Julia Tietz2, Belinda Wickihalder2, Simone Muntwiler2, Simon Carnal2, Daniel Snell2 and Christophe Chassagnole1
Abstract
Background NM32-2668 is a fragment-based multispecific antibody therapeutic1 that has been designed to activate T-cells (via CD3) in the presence of tumour antigen receptor tyrosine kinase-like orphan receptor 1 (ROR1). The objective of this work was to build a mathematical model to establish a PKPD relationship using both in vitro and in vivo data for NM32-2668.