Filippo Umberto Sapienza | Ricerc@Sapienza

Pubblicazioni

Titolo	Pubblicato in	Anno
Essential Oils as Antimicrobials against Acinetobacter baumannii: Experimental and Literature Data to Definite Predictive Quantitative Composition–Activity Relationship Models Using Machine Learning Algorithms	JOURNAL OF CHEMICAL INFORMATION AND MODELING	2025
Nuovi approcci metodologici applicati a Cencelle (Tarquinia, VT) - New methodological approaches applied to Cencelle (Tarquinia, VT)	SPOLIA	2024
Effect of different soil treatments on production and chemical composition of essential oils extracted from Foeniculum vulgare Mill., Origanum vulgare L. and Thymus vulgaris L	PLANTS	2023
In Vitro Antioxidant and In Vivo Antigenotoxic Features of a Series of 61 Essential Oils and Quantitative Composition–Activity Relationships Modeled through Machine Learning Algorithms	ANTIOXIDANTS	2023
In vivo antiphytoviral and aphid repellency activity of essential oils and hydrosols from Mentha suaveolens and Foeniculum vulgare to control zucchini yellow mosaic virus and its vector Aphis gossypii	PLANTS	2023
Chemical Composition and Anti-Candida Activity of Mentha suaveolens Ehrh. Essential Oils Obtained by Different Distillation Processes	MOLECULES	2023
Sviluppo di nanosistemi sostenibili per l’incapsulamento di oli essenziali e dei loro principi attivi per la conservazione dei beni culturali di origine lignea	NATURAL 1	2023
Foeniculum vulgare miller, a new chemotype from Montenegro	PLANTS	2022
Essential Oils Biofilm Modulation Activity and Machine Learning Analysis on Pseudomonas aeruginosa Isolates from Cystic Fibrosis Patients	MICROORGANISMS	2022
In vivo Antiphytoviral Activity of Essential Oils and Hydrosols From Origanum vulgare, Thymus vulgaris, and Rosmarinus officinalis to Control Zucchini Yellow Mosaic Virus and Tomato Leaf Curl New Delhi Virus in Cucurbita pepo L	FRONTIERS IN MICROBIOLOGY	2022
Chemical Composition of Various Nepeta cataria Plant Organs’ Methanol Extracts Associated with In Vivo Hepatoprotective and Antigenotoxic Features as well as Molecular Modeling Investigations	PLANTS	2022
Pinus mugo Essential Oil Impairs STAT3 Activation through Oxidative Stress and Induces Apoptosis in Prostate Cancer Cells	MOLECULES	2022
Machine learning data augmentation as a tool to enhance quantitative composition–activity relationships of complex mixtures. A new application to dissect the role of main chemical components in bioactive essential oils	MOLECULES	2021
Essential oils biofilm modulation activity, chemical and machine learning analysis. Application on staphylococcus aureus isolates from cystic fibrosis patients	INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES	2020