Computational modeling of microfluidic data provides high-throughput affinity estimates for monoclonal antibodies.

ABSTRACT: Affinity measurement is a fundamental step in the discovery of monoclonal antibodies (mAbs) and of antigens suitable for vaccine development. Innovative affinity assays are needed due to the low throughput and/or limited dynamic range of available technologies. We combined microfluidic technology with quantum-mechanical scattering theory, in order to develop a high-throughput, broad-range methodology to measure affinity. Fluorescence intensity profiles were generated for out-of-equilibrium solutions of labelled mAbs and their antigen-binding fragments migrating along micro-columns with immobilized cognate antigen. Affinity quantification was performed by computational data analysis based on the Landau probability distribution. Experiments using a wide array of human or murine antibodies ag

SUBMITTER: Budroni S 

PROVIDER: S-EPMC8255181 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature