Automated algorithm for analyzing molecular interaction forces in AFM force spectroscopy data

The study of biomolecular interactions is critical for understanding various biological processes. Atomic force microscopy (AFM) has now become a common method for studying biomolecular interactions. Such experiments typically generate large amounts of force curves, and manually analyzing these data is extremely time-consuming and prone to subjective biases. Many algorithms have been proposed for the automatic processing of force curves. However, existing algorithms primarily focus on searching events in curves, and have limited functionality in differentiating between specific and nonspecific interactions. To address this problem, this study proposes FSASIS (Force Spectroscopy Analysis for Specific Interaction Selection), a new algorithm for processing and analyzing force spectroscopy data. FSASIS can detects all events in force curves and subsequently identifies specific unbinding events among them. We use FSASIS to analyze the measured force curve, the results demonstrate that FSASIS can analyze force curves with high accuracy, and significantly improves the efficiency of experiments.