Rino Ragno

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
(Heteroarylmethyl)benzoic Acids as a New Class of Bacterial Cystathionine γ-Lyase Inhibitors: Synthesis, Biological Evaluation, and Molecular Modeling ACS INFECTIOUS DISEASES 2024
Pyrimidine thioethers: A novel class of antidepressant agents, endowed with anxiolytic, performance enhancing and nootropic activity EUROPEAN JOURNAL OF MEDICINAL CHEMISTRY 2023
Bcl-2 family inhibitors sensitize human cancer models to therapy CELL DEATH & DISEASE 2023
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
Molecular Docking Assessment of Cathinones as 5-HT2AR Ligands: Developing of Predictive Structure-Based Bioactive Conformations and Three-Dimensional Structure-Activity Relationships Models for Future Recognition of Abuse Drugs MOLECULES 2023
Essential Oils from Mediterranean Plants Inhibit In Vitro Monocyte Adhesion to Endothelial Cells from Umbilical Cords of Females with Gestational Diabetes Mellitus INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES 2023
An Undefined Interaction between Polyamines and Heat Shock Proteins Leads to Cellular Protection in Plasmodium falciparum and Proliferating Cells in Various Organisms MOLECULES 2023
Explainable AI in drug discovery: self-interpretable graph neural network for molecular property prediction using concept whitening MACHINE LEARNING 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
Inhibition of PKCθ Improves Dystrophic Heart Phenotype and Function in a Novel Model of DMD Cardiomyopathy INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES 2022
Foeniculum vulgare miller, a new chemotype from Montenegro PLANTS 2022
Transcriptomic and genomic studies classify NKL54 as a histone deacetylase inhibitor with indirect influence on MEF2-dependent transcription NUCLEIC ACIDS RESEARCH 2022
Human estrogen receptor α antagonists, part 2: Synthesis driven by rational design, in vitro antiproliferative, and in vivo anticancer evaluation of innovative coumarin-related antiestrogens as breast cancer suppressants EUROPEAN JOURNAL OF MEDICINAL CHEMISTRY 2022
Targeting the anti-apoptotic Bcl-2 family proteins: Machine learning virtual screening and biological evaluation of new small molecules THERANOSTICS 2022
Essential Oils Biofilm Modulation Activity and Machine Learning Analysis on Pseudomonas aeruginosa Isolates from Cystic Fibrosis Patients MICROORGANISMS 2022

ERC

  • LS1_13
  • LS2_11
  • PE4_13
  • PE5_18

KET

  • Life-science technologies & biotechnologies

Interessi di ricerca

Design of small molecules as potential bioactive agents

Developing of methods to predict the activity of new molecules

Machine learning applications to develop model for complex mixtures

Keywords

drug design
drug design and discovery
computational chemistry
essential oil active components (EO-ACs)
essential oil
Molecular docking
drug repurposing
quantitative composition-activity relationships

Progetti di Ricerca

Laboratori di ricerca

3D-QSAR PORTAL Prof. RAGNO RINO

© Università degli Studi di Roma "La Sapienza" - Piazzale Aldo Moro 5, 00185 Roma