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Front Cover: MS2DECIDE: Aggregating Multiannotated Tandem Mass Spectrometry Data with Decision Theory Enhances Natural Products Prioritization (Chem. Methods 12/2025)

Year: 2025

Type: paratext

Abstract: 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).

Source: Chemistry - Methods

DOI: 10.1002/cmtd.70056

Authors: Yassine Mejri, Olivier Cailloux, Elvis Otogo N’Nang, Blandine Séon‐Méniel, Jean‐François Gallard, Pierre Le Pogam, Meltem Öztürk‐Escoffier, Mehdi A. Beniddir

Institutions: Centre National de la Recherche Scientifique, Université Paris Sciences et Lettres, Université Paris-Saclay, Lamsade, Biomolécules : Conception, Isolement, Synthèse, Université Paris Dauphine-PSL, Institut de Chimie des Substances Naturelles

Language: English

Topic: Mass Spectrometry Techniques and Applications

Subfield: Spectroscopy

Field: Chemistry

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $2,750

OpenAlex ID: W4416744845

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