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

A least-squares regression comparing (log 10 -tranformed) W scores and K D values across the entire range, demonstrated a highly significant, linear correlation (Pearson’s r [ p -value]: 0.78 [1.12 × 10 −5 ]).

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