Provenance-Aware Quality Control for Heterogeneous Bioactivity Data
Background. Machine-learning models for proteins increasingly train on large, pooled collections of laboratory measurements-binding affinities such as IC50, Ki, Kd and EC50 (numbers that describe how tightly a molecule binds its target), togetherwith biophysical readouts from techniques such as surface plasmon resonanc...