RAGNO Rino

Associate Professor
Settore Scientifico-Disciplinare: 
CHIM/08
Settore concorsuale: 
03/D1
Informazioni personali
Curriculum vitae (en): 

Rino Ragno is an associate professor at the Drug Chemistry and Technology Department - Pharmacy and Medicine Faculty, Sapienza University of Rome.

He started as medicinal chemist doing synthesis for about 10 years then as Italian NIH fellow spent two years in the Prof. G. R. Marshall’s lab at Washington University in St. Louis.

Since 2000, he started RCMD a new drug design lab named Rome Center for Molecular Design RCMD.

In 2004 was awarded of the Farmindustria prize by Italian Division of Medicinal Chemistry.

In 2010, 2012 e 2014 was invited as visting professor in Metz (Francia) at labs directed by Professeur Emérite Gilbert KIRSCH UMR CNRS 7053 L2CM Université de Lorraine.

The most recent relevant activities are: 
  1. drug design of new potential bioactive compounds
  2. the recent opening of the 3-D QSAR server (www.3d-qsar.com) useful for teaching and research.
  3. development of new protocol to extract essential oils and thir characterization 
  4. application of machine learning methods to both drug design and quantitative activity-composition relationships on essential oil mixtures.

Since 2015 is in charge to coordinate the Massive Open Online Courses of Sapienza University.

In May 2016 he founded a new company, Alchemical Dynamics s.r.l., dedicated mainly to develop and application of informatics tools to the fields of drug design and agri-food.

In 2017 he achieved the national abilitation as Full Professor in medicinal chemistry.

Il Prof. Rino Ragno is co-author of more than 134 peer reviewed artcles on interantional journals at high impact factor.

Didattica
Aree di afferenza: 
- Area Farmaceutica
- Corso di Laurea in Biotecnologie
- Corso di Laurea in Chimica e Tecnologia Farmaceutiche
- Corso di Laurea Specialistica in Biotecnologie Farmaceutiche
Ricevimento studenti: 

All days from 08:00 to 09:00 by e-mail to rino.ragno@uniroma1.it.

Disponibilità tesi: 

Every Year are available  2-3 positions for experimental thesis in:

1) Computational Medicinal Chemistry (Drug Design)

2) Extraction of Natural Compounds (Essential Oils)

Ricerca
Aree di interesse: 
  • Medicinal Chemistry
  • Machine Learning
  • Drug Design
  • Bioinformatics
  • Estraction of Natural Compounds (Essential Ois)

 

Pubblicazioni
Pubblicazioni: 

In the following links is the list of publications as found in the institutional and international web sites 

Pubblicazioni scientifiche

Anno: 2021
Titolo pubblicazione Rivista Anno link Scopus link Sci_Dir
Antitumor effect of Melaleuca alternifolia essential oil and its main component terpinen-4-ol in combination with target therapy in melanoma models Cell Death Discovery 2021 Sci_Dir
The anti-STAT1 polyphenol myricetin inhibits M1 microglia activation and counteracts neuronal death FEBS Journal 2021 Sci_Dir
Anno: 2020
Titolo pubblicazione Rivista Anno link Scopus link Sci_Dir
Altered mitochondrial function in cells carrying a premutation or unmethylated full mutation of the FMR1 gene Human Genetics 2020 Sci_Dir
Antimicrobial essential oil formulation: Chitosan coated nanoemulsions for nose to brain delivery Pharmaceutics 2020 Sci_Dir
Breakthroughs in medicinal chemistry: New targets and mechanisms, new drugs, new hopes-6 Molecules 2020 Sci_Dir
Breakthroughs in medicinal chemistry: New targets and mechanisms, new drugs, new hopes-7 Molecules 2020 Sci_Dir
Chemical composition and antimicrobial activity of essential oil of Helichrysum italicum (Roth) G. Don fil. (Asteraceae) from Montenegro Natural Product Research 2020 Sci_Dir
Discovery of the First Human Arylsulfatase A Reversible Inhibitor Impairing Mouse Oocyte Fertilization ACS Chemical Biology 2020 Sci_Dir
Essential oils against bacterial isolates from cystic fibrosis patients by means of antimicrobial and unsupervised machine learning approaches Scientific Reports 2020 Sci_Dir
Essential oils and their main chemical components: The past 20 years of preclinical studies in Melanoma Cancers 2020 Sci_Dir
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 Sci_Dir
Experimental data based machine learning classification models with predictive ability to select in vitro active antiviral and non-toxic essential oils Molecules 2020 Sci_Dir
Gas-phase structures and thermochemical properties of protonated 5-HMF isomers International Journal of Mass Spectrometry 2020 Sci_Dir
Gas-phase structures and thermochemical properties of protonated 5-HMF isomers International Journal of Mass Spectrometry 2020 Sci_Dir
Identification of inhibitors to trypanosoma cruzi sirtuins based on compounds developed to human enzymes International Journal of Molecular Sciences 2020 Sci_Dir
Potent in vitro activity of citrus aurantium essential oil and vitis vinifera hydrolate against gut yeast isolates from irritable bowel syndrome patients—the right mix for potential therapeutic use Nutrients 2020 Sci_Dir
Potent in vitro activity of citrus aurantium essential oil and vitis vinifera hydrolate against gut yeast isolates from irritable bowel syndrome patients—the right mix for potential therapeutic use Nutrients 2020 Sci_Dir
Teaching and Learning Computational Drug Design: Student Investigations of 3D Quantitative Structure-Activity Relationships through Web Applications Journal of Chemical Education 2020 Sci_Dir
Variation in essential oil content and composition of Ridolfia segetum Moris based on 30-hour prolonged fractionated extraction procedure Natural Product Research 2020 Sci_Dir
Anno: 2019
Titolo pubblicazione Rivista Anno link Scopus link Sci_Dir
Breakthroughs in medicinal chemistry: New targets and mechanisms, new drugs, new hopes-4 Molecules 2019 Sci_Dir
Breakthroughs in medicinal chemistry: New targets and mechanisms, New Drugs, New Hopes-5 Molecules 2019 Sci_Dir
In-vitro evaluation of different antimicrobial combinations with and without colistin against carbapenem-resistant Acinetobacter baumannii Molecules 2019 Sci_Dir
Machine Learning Analyses on Data including Essential Oil Chemical Composition and In Vitro Experimental Antibiofilm Activities against Staphylococcus Species Molecules 2019 Sci_Dir
Shmt2: A Stat3 Signaling New Player in Prostate Cancer Energy Metabolism Cells 2019 Sci_Dir
www.3d-qsar.com: a web portal that brings 3-D QSAR to all electronic devices—the Py-CoMFA web application as tool to build models from pre-aligned datasets Journal of Computer-Aided Molecular Design 2019 Sci_Dir
Anno: 2018
Titolo pubblicazione Rivista Anno link Scopus link Sci_Dir
Antimicrobial and antibiofilm activity and machine learning classification analysis of essential oils from different mediterranean plants against pseudomonas aeruginosa Molecules 2018 Sci_Dir
Anno: 2017
Titolo pubblicazione Rivista Anno link Scopus link Sci_Dir
Calamintha nepeta (L.) Savi and its main essential oil constituent pulegone: Biological activities and chemistry Molecules 2017 Sci_Dir

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