Investigating Complex Samples with Molograms of Low-Affinity Binders Journal Article
This paper stresses the importance of affinity (binding strength) matching of the binding elements on the active and passive regions on a mologram for background molecules (molecules that we do not want to detect but are present in the sample). More importantly, it introduces a completely new concept for medical diagnostic. Unlike traditional diagnostic methods that rely on fluorophores, multiple steps and are limited to one kind of molecule, this concept uses real-time data without any labels. In addition, since an entire array of different molograms is measured, one can use machine learning and classification to detect not only one but multiple diseases with the same sensor in one step.
