Maria Galvez-Llompart

Lecturer in Food Science and Nutrition

University of Valencia

Spain

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Maria Galvez-Llompart is a Lecturer in Food Science and Nutrition at Universitat de València, Spain. Her research areas encompass the rational design of novel inhibitors for clinical and food contamination, drug screening for diabetes treatment, and the application of machine learning in drug development for conditions such as amyotrophic lateral sclerosis. Additionally, she has investigated the mechanisms of antiviral agents and contributed to strategies for pandemic preparedness.

Articles (10)

Year:

2024

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2024

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2023

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2023

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2022

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2022

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2022

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2021

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2021

Year:

2021

Collaborators (7)

Sagar M. Goyal

College of Veterinary Medicine

UNITED STATES

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Jorge Galvez

Full professor

University of Valencia

SPAIN

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Matteo Masetti

University of Bologna

ITALY

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Ramon Garcia-Domenech

Full professor

University of Valencia

SPAIN

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German Sastre

Universitat Politècnica de València

SPAIN

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Maurizio Recanatini

ALMA MATER STUDIORUM UNIVERSITY OF BOLOGNA

ITALY

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Diego Francisco Romero Hinojosa

Profesor Titular Universidad (Associate Professor)

Instituto de Hortofruticultura Subtropical y Mediterranea: Malaga, Andalucia, ES

SPAIN

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Maria Galvez-Llompart

Research Interests

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About

Articles (10)

Rational Design of a Potential New Nematicide Targeting Chitin Deacetylase

Targeting bacterial growth in biofilm conditions: rational design of novel inhibitors to mitigate clinical and food contamination using QSAR

Drug screening of α‐amylase inhibitors as candidates for treating diabetes

Elucidating the mechanism of action of mycotoxins through machine learning-driven QSAR models: Focus on lipid peroxidation

Rational Design of Chitin Deacetylase Inhibitors for Sustainable Agricultural Use Based on Molecular Topology

COVID-19 and the Importance of Being Prepared: A Multidisciplinary Strategy for the Discovery of Antivirals to Combat Pandemics

How Molecular Topology Can Help in Amyotrophic Lateral Sclerosis (ALS) Drug Development: A Revolutionary Paradigm for a Merciless Disease

Macrolides May Prevent Severe Acute Respiratory Syndrome Coronavirus 2 Entry into Cells: A Quantitative Structure Activity Relationship Study and Experimental Validation

Computational analysis of macrolides as SARS-CoV-2 main protease inhibitors: a pattern recognition study based on molecular topology and validated by molecular docking

Targeting the JAK/STAT Pathway: A Combined Ligand- And Target-Based Approach

Collaborators (7)

Sagar M. Goyal

Jorge Galvez

Matteo Masetti

Ramon Garcia-Domenech

German Sastre

Maurizio Recanatini

Diego Francisco Romero Hinojosa

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