Pamella Christina Ortega de Oliveira, Bruno Sérgio do Amaral, Carmen Lucia Cardoso, Quezia Bezerra Cass, Marcela Cristina De Moraes. Breaking the boundaries of affinity selection-mass spectrometry: From ligand screening to target-ligand interaction insights[J]. Journal of Pharmaceutical Analysis. doi: 10.1016/j.jpha.2025.101379
Citation:
Pamella Christina Ortega de Oliveira, Bruno Sérgio do Amaral, Carmen Lucia Cardoso, Quezia Bezerra Cass, Marcela Cristina De Moraes. Breaking the boundaries of affinity selection-mass spectrometry: From ligand screening to target-ligand interaction insights[J]. Journal of Pharmaceutical Analysis. doi: 10.1016/j.jpha.2025.101379
Pamella Christina Ortega de Oliveira, Bruno Sérgio do Amaral, Carmen Lucia Cardoso, Quezia Bezerra Cass, Marcela Cristina De Moraes. Breaking the boundaries of affinity selection-mass spectrometry: From ligand screening to target-ligand interaction insights[J]. Journal of Pharmaceutical Analysis. doi: 10.1016/j.jpha.2025.101379
Citation:
Pamella Christina Ortega de Oliveira, Bruno Sérgio do Amaral, Carmen Lucia Cardoso, Quezia Bezerra Cass, Marcela Cristina De Moraes. Breaking the boundaries of affinity selection-mass spectrometry: From ligand screening to target-ligand interaction insights[J]. Journal of Pharmaceutical Analysis. doi: 10.1016/j.jpha.2025.101379
a. Department of Organic Chemistry, Fluminense Federal University, Niterói, 24020-007, Brazil;
b. Federal Institute of Education, Science and Technology of São Paulo, São Paulo, 05110-000, Brazil;
c. Department of Chemistry, Faculty of Philosophy, Sciences and Letters of Ribeirão Preto, University of São Paulo, Ribeirão Preto, 14040-900, Brazil;
d. Department of Chemistry, Federal University of São Carlos, São Carlos, 13565-905, Brazil
Funds:
The authors acknowledge Carlos Chagas Filho Foundation for Research Support of the State of Rio de Janeiro (FAPERJ), Brazil (Grant Nos.: E-26/210.017/2024, E-200.172/2023, E-26/200.165/2024, E-26/200.164/2024, and E-26/210.547/2025), the Coordination for the Improvement of Higher Education Personnel (CAPES), Brazil (Finance Code 001), and National Council for Scientific and Technological Development (CNPq), Brazil (Grant Nos.: 307108/2021-0 and 302464/2022-0) for their support. All figures, including the graphical abstract, were created with BioRender.com.
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 (KD) and competitive binding parameters (ACE50), highlighting its ability to rank ligand affinities efficiently. The review also examines AS-MS applications in fragment-based drug discovery, 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.