Front Cover: MS2DECIDE: Aggregating Multiannotated Tandem Mass Spectrometry Data with Decision Theory Enhances Natural Products Prioritization (Chem. Methods 12/2025)
The Front Cover provides Chemistry Methods readers with a glimpse into the decision-making process that takes place during a mass spectrometry-driven natural products discovery workflow. To address this challenge, M. A. Beniddir and co-workers developed MS2DECIDE, a Python library that applies decision theory and expert knowledge to integrate the outputs of three widely used annotation tools–GNPS, SIRIUS, and ISDB-LOTUS–and generate recommendations for prioritizing natural products according to their potential novelty. For more details, see Research Article (DOI: 10.1002/cmtd.202400088).
Authors
- Elvis Otogo N’Nang (ORCID: https://orcid.org/0000-0001-5904-7645)
- Mehdi A. Beniddir (ORCID: https://orcid.org/0000-0003-2153-4290)
- Blandine Séon‐Méniel
- Meltem Öztürk‐Escoffier (ORCID: https://orcid.org/0000-0002-4206-2037)
- Olivier Cailloux (ORCID: https://orcid.org/0000-0003-3244-1081)
- Pierre Le Pogam (ORCID: https://orcid.org/0000-0002-3351-4708)
- Yassine Mejri
- Jean‐François Gallard (ORCID: https://orcid.org/0009-0008-7093-8535)
Institutions
- Centre National de la Recherche Scientifique (FR)
- Institut de Chimie des Substances Naturelles (FR)
- Université Paris-Saclay (FR)
- Institut des Sciences des Plantes de Paris Saclay (FR)
- Université Paris Dauphine-PSL (FR)
Publication Details
- Journal
- Chemistry - Methods
- Published
- 2025-11-27
- DOI
- https://doi.org/10.1002/cmtd.70056
- Primary Topic
- Molecular spectroscopy and chirality
- Type
- article
- Field-Weighted Citation Impact
- 0.00