A New Perspective in Chemical Probe Discovery: Expanding Virtual Screening into Metal Complex Chemical Space
Transition metal complexes provide rigid, shape-defined molecular architectures in which the coordination geometry precisely organizes ligand functionality in three dimensions, making them attractive scaffolds for target-based chemical probe discovery. Yet, their broader and prospective use in structure-based virtual screening has remained largely unexplored, due to the absence of structurally diverse, computationally tractable screening libraries. Here, we address this by curating MOSAIC (Metal complex library for Structure-Aided In silico screening), a first collection of 16,901 neutral, drug-like metal complexes assembled directly from experimentally determined geometries deposited in the Cambridge Structural Database. Using MOSAIC , we perform a high-throughput virtual screening campaign against the allosteric pocket of methionine adenosyltransferase 2A (MAT2A), identifying the copper complex Cu1-Complex , for which nano differential scanning fluorimetry (nanoDSF) confirmed strong binding in vitro . The diamagnetic zinc analogue Zn1-Comple x allowed orthogonal binding characterization with ligand-observed and competition NMR studies. Along with Hydrogen–deuterium exchange mass spectrometry (HDX-MS), site-directed mutagenesis and molecular dynamics (MD), these studies show that Zn1-Complex engages the MAT2A through an allosteric pocket, inhibiting enzymatic activity. Together, this establishes MOSAIC as a scalable and generalizable virtual screening platform for transition metal complexes and demonstrates the potential of these metal-based scaffolds as chemical probes to uncover new modes of protein recognition.
Authors
- Luiz Pedro S. de Carvalho (ORCID: https://orcid.org/0000-0003-2875-4552)
- Alain Oregioni (ORCID: https://orcid.org/0000-0003-2462-3870)
- Marcus M. Fischer (ORCID: https://orcid.org/0000-0002-7179-2581)
- Kesavan Babu (ORCID: https://orcid.org/0000-0002-7895-7246)
- Mark J. Skehel (ORCID: https://orcid.org/0000-0002-2432-0901)
- Joanna M. Redmond (ORCID: https://orcid.org/0000-0002-3200-4087)
- Sarah Maslen (ORCID: https://orcid.org/0000-0002-0261-2866)
- Jonathan Bailey (ORCID: https://orcid.org/0000-0003-4088-8094)
- Geoff P. Kelly (ORCID: https://orcid.org/0000-0002-1149-0717)
- Lygia S. de Moraes (ORCID: https://orcid.org/0000-0001-9176-8725)
- Jeannine Hess (ORCID: https://orcid.org/0000-0001-5916-0728)
- Simone Kunzelmann (ORCID: https://orcid.org/0000-0002-2678-0549)
- Mika Kintzel (ORCID: https://orcid.org/0009-0003-1061-9931)
- Yew Mun Yip (ORCID: https://orcid.org/0000-0003-3699-8434)
- Daniella E. Hares (ORCID: https://orcid.org/0000-0002-6023-7371)
Institutions
- St. Jude Children's Research Hospital (US)
- King's College London (GB)
- The Francis Crick Institute (GB)
- The Herbert Wertheim UF Scripps Institute for Biomedical Innovation & Technology (US)
- Medical Research Council (GB)
Publication Details
- Journal
- ChemRxiv
- Published
- 2026-10-28
- DOI
- https://doi.org/10.26434/chemrxiv.15006100/v2
- Primary Topic
- Computational Drug Discovery Methods
- Type
- preprint