アフィニティー選択質量分析法の限界を打破：リガンドスクリーニングから標的リガンド相互作用の洞察まで

Affinity selection mass spectrometry (AS-MS) has emerged as a powerful label-free technique for identifying and characterizing ligand-target interactions. This review explores the diverse applications of AS-MS in drug discovery, including its role in selective screening, binding site characterization, and quantitative affinity determination. We discuss the use of AS-MS for determining equilibrium dissociation constants (K _D) and competitive binding parameters (affinity competition experiment 50% (ACE₅₀)), highlighting its ability to rank ligand affinities efficiently. The review also examines AS-MS applications in fragment-based drug discovery (FBDD), screening for molecular glues, and investigating interactions with membrane proteins. Moreover, we address key technical challenges, including competitive binding effects, protein stability, and ligand dissociation kinetics, along with recent advancements in automation and artificial intelligence (AI) integration. Rather than providing a comprehensive literature review, this work aims to broaden the applicability of AS-MS assays and encourage researchers to explore its use in underutilized contexts. By providing rapid and high-sensitivity affinity measurements, AS-MS continues to expand its role in drug discovery and structural biology, complementing conventional biophysical techniques.