A high-throughput platform for biophysical antibody developability assessment to enable AI/ML model training.

ABSTRACT: Antibodies must bind their targets with high affinity and specificity to achieve useful therapeutic activity. They must also possess suitable developability properties (e.g. thermostability, solubility, viscosity, polyreactivity) to ensure favorable manufacturing, formulation, and in vivo performance. Both binding and developability properties are inherent to a given antibody amino acid sequence. Identification or selection of antibodies possessing suitable-binding characteristics is now routine, and de novo computational design models, trained on extensive complementarity-determining region sequence and structural data, are rapidly improving. Developability properties, however, remain difficult to predict largely due to insufficient training data, with empirical testing bein

SUBMITTER: Arsiwala A 

PROVIDER: S-EPMC12674332 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature