Andrés Halabi Díaz

Universidad del Desarrollo — Chile

Computer Science · Physical Sciences

4h-index45citations13works3.02yr avg
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Research Topics

Computational Drug Discovery Methods(5), Free Radicals and Antioxidants(3), Metabolomics and Mass Spectrometry Studies(2), Muscle metabolism and nutrition(2), Machine Learning in Materials Science(2)

Publications12 total

Molecular Features, Effective Sources, and Physiological Effects of Omega-3 Unsaturated Fatty Acids on Cardiovascular, Neurological, and Muscular Health, and Clinical Relevance for Several Conditions: A Narrative Review
Nutrition Reviews·2025
Molecular Mechanisms, Physiological Effects, Gut Microbiota Interplay and Nutritional Strategies of Anthocyanins as Modulators of Muscle Protein Synthesis: A Narrative Review
Current Nutrition Reports·2025
Neurobiological mechanisms, modalities, and clinical implications of exercise interventions for cognitive health in older adults: A narrative review
Journal of Movement & Health·2025Open Access
A Narrative Review about Metabolic Pathways, Molecular Mechanisms and Clinical Implications of Intermittent Fasting as Autophagy Promotor
Current Nutrition Reports·2025· 4 cited
Explainable no-code OECD-compliant machine learning models to predict the mutagenic activity of polycyclic aromatic hydrocarbons and their radical cation metabolites
The Science of The Total Environment·2025Open Access
Are there Effective Vegan-Friendly Supplements for Optimizing Health and Sports Performance? a Narrative Review
Current Nutrition Reports·2025· 3 cited
Predicting the Mutagenic Activity of Nitroaromatics Using Conceptual Density Functional Theory Descriptors and Explainable No-Code Machine Learning Approaches
Journal of Chemical Information and Modeling·2025· 2 cited
Synergizing Machine Learning, Conceptual Density Functional Theory, and Biochemistry: No-Code Explainable Predictive Models for Mutagenicity in Aromatic Amines
Journal of Chemical Information and Modeling·2024· 7 cited
Accurate & simple open-sourced no-code machine learning and CDFT predictive models for the antioxidant activity of phenols
Computational and Theoretical Chemistry·2024· 3 cited
Unveiling an electronic LogP analogue within the conceptual density functional theory framework
Chemical Physics·2024· 10 cited
Machine learning predictive classification models for the carcinogenic activity of activated metabolites derived from aromatic amines and nitroaromatics
Toxicology in Vitro·2022· 12 cited
Estudio experimental sobre la optimización de la conversión de aceite de algodón en biodiesel
El Servicio de Difusión de la Creación Intelectual (National University of La Plata)·2007Open Access

Frequent Co-authors

Eduardo Chamorro(5), Elizabeth Rincón(4), Mario Duque‐Noreña(4), Amelia Nieto(3), Melissa Millan(3), Daniel Sagredo(2), M. Hernández(1), Franco Galdames(1), Patricia Velásquez(1), Madeleivis Iglesias Hernández(1), A Nieto(1), Daniel Sagredo(1), Daniel Sagredo Oyarzo(1), Alfredo Sequeira(1), Ester Chamorro(1), Walter G. Morales(1), Eliana Paola Dagnino(1), Mariel Cáceres(1)