Marco Macchia

ORCID: 0000-0002-5565-2044
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About
Contact & Profiles
Research Areas
  • Pharmacological Receptor Mechanisms and Effects
  • Cannabis and Cannabinoid Research
  • Receptor Mechanisms and Signaling
  • Computational Drug Discovery Methods
  • Synthesis and biological activity
  • Synthesis and Biological Evaluation
  • Estrogen and related hormone effects
  • Cancer, Hypoxia, and Metabolism
  • Chemical Synthesis and Analysis
  • Neuroscience and Neuropharmacology Research
  • Click Chemistry and Applications
  • HIV/AIDS drug development and treatment
  • Edible Oils Quality and Analysis
  • Phytochemicals and Antioxidant Activities
  • Adenosine and Purinergic Signaling
  • Synthesis of β-Lactam Compounds
  • Inflammatory mediators and NSAID effects
  • Biochemical and Molecular Research
  • Bioactive Compounds and Antitumor Agents
  • Synthesis and Characterization of Heterocyclic Compounds
  • Phenothiazines and Benzothiazines Synthesis and Activities
  • Cholinesterase and Neurodegenerative Diseases
  • Pancreatic function and diabetes
  • Eicosanoids and Hypertension Pharmacology
  • Analytical Chemistry and Chromatography

University of Pisa
2016-2025

Ospedale SS. Annunziata
2025

University of Rome Tor Vergata
2020

University of Milan
2005-2019

Ospedale Papa Giovanni XXIII
2019

Istituto di Farmacologia Traslazionale
2015

University of Illinois Urbana-Champaign
2001-2009

Goodwin College
2006-2008

Roswell Park Comprehensive Cancer Center
2005

Cancer Genetics (United States)
2005

Highly invasive tumor cells are characterized by a metabolic switch, known as the Warburg effect, from "normal" oxidative phosphorylation to increased glycolysis even under sufficiently oxygenated conditions. This dependence on also confers growth advantage present in hypoxic regions of tumor. One key enzymes involved glycolysis, muscle isoform lactate dehydrogenase (LDH-A), is overexpressed metastatic cancer and linked vitality tumors hypoxia. enzyme may be considered potential target for...

10.1021/jm101007q article EN Journal of Medicinal Chemistry 2011-02-18

Inflammation of the adipose tissue plays an important role in development several chronic diseases associated with obesity. Polyphenols extra virgin olive oil (EVOO), such as secoiridoids oleocanthal (OC) and oleacein (OA), have many nutraceutical proprieties. However, their roles obesity-associated adipocyte inflammation, NF-κB pathway related sub-networks not been fully elucidated. Here, we investigated impact OC OA on activation expression molecules inflammatory dysmetabolic responses. To...

10.3390/nu11122855 article EN Nutrients 2019-11-21

(1) Background: Nowadays, the health-promoting properties of extra virgin olive oil (EVOO), including antioxidant and anti-inflammatory actions, are well recognized mainly attributed to different polyphenols, such as oleocanthal oleacein. In EVOO production, leaves represent a high value by-product, showing wide spectrum beneficial effects due presence especially oleuropein. Here we report study leaf extract (OLE)-enriched extracts, obtained by adding percentages OLE in order ameliorate...

10.3390/nu15051073 article EN Nutrients 2023-02-21

Agrifood waste products are often considered rich sources of bioactive compounds that can be conveniently recovered. Due to these peculiar characteristics, the study is attracting great interest in nutraceutical research. Olive mill wastewaters (OMWWs) generated by extra virgin olive oil (EVOO) production, and they pose environmental challenges due their disposal. This aimed characterize polyphenolic profile evaluate properties OMWW extracts from two Tuscan cultivars, Leccino (CL) Frantoio...

10.3390/nu15173746 article EN Nutrients 2023-08-26

Oleocanthal is one of the phenolic compounds extra virgin olive oil with important anti-inflammatory properties. Although its potential anticancer activity has been reported, only limited evidence provided in cutaneous malignant melanoma. The present study aimed at investigating selective vitro antiproliferative oleocanthal against human melanoma cells. Since not commercially available, it was obtained as a pure standard by direct extraction and purification from oil. Cell viability...

10.1080/01635581.2016.1180407 article EN Nutrition and Cancer 2016-06-07

The direct activation of cannabinoid receptors (CBRs) results in several beneficial effects; therefore CBRs ligands have been synthesized and tested vitro vivo. However, none them reached an advanced phase clinical development due mainly to side effects on the CNS. Medicinal chemistry approaches are now engaged develop allosteric modulators that might offer a novel therapeutic approach achieve potential benefits avoiding inherent orthosteric ligands. Here we identify first ever positive...

10.1021/acs.jmedchem.8b00368 article EN Journal of Medicinal Chemistry 2018-07-10

The use of in silico toxicity prediction methods plays an important role the selection lead compounds and ADMET studies since vitro vivo are often limited by ethics, time, budget other resources. In this context, we present our new web tool VenomPred, a user-friendly platform for evaluating potential mutagenic, hepatotoxic, carcinogenic estrogenic effects small molecules. VenomPred employs several in-house Machine Learning (ML) models developed with datasets derived from VEGA QSAR, software...

10.3390/ijms23042105 article EN International Journal of Molecular Sciences 2022-02-14

Here, we present MolBook UNIPI, freely available and user-friendly software specifically designed for medicinal chemists as a powerful tool the easy management of virtual libraries chemical compounds. With it is possible to create, store, handle, share molecular databases in very simple intuitive way. The allows users rapidly generate bioactive ligands, building blocks, or commercial compounds by either manually creating single molecules automatically importing from public pre-existing...

10.1021/acs.jcim.3c00278 article EN cc-by Journal of Chemical Information and Modeling 2023-06-26

The application of artificial intelligence and machine learning (ML) methods is becoming increasingly popular in computational toxicology drug design; it considered as a promising solution for assessing the safety profile compounds, particularly lead optimization ADMET studies, to meet principles 3Rs, which calls replacement, reduction, refinement animal testing. In this context, we herein present development VenomPred 2.0 (http://www.mmvsl.it/wp/venompred2/), new improved version our free...

10.1021/acs.jcim.3c00692 article EN cc-by Journal of Chemical Information and Modeling 2023-09-07

Some new oxime ethers of types 7 and 8, in which the methyleneaminoxy group, CN−O, oxiconazole 6 is an inverted atomic sequence, were synthesized tested for their antifungal activities. Among them, type compounds, such as N-ethoxy-morpholino-substituted derivatives 7l−o (Table 1), showed good properties against Candida strains tested, with minimum inhibitory concentration (MIC) values similar to those reference drug 6. A remarkable result was obtained these azoles, had shown a cidal...

10.1021/jm020980t article EN Journal of Medicinal Chemistry 2002-09-26

Monoacylglycerol lipase (MAGL) is the enzyme degrading endocannabinoid 2-arachidonoylglycerol, and it involved in several physiological pathological processes. The therapeutic potential of MAGL linked to diseases, including cancer. development inhibitors has been greatly limited by side effects associated with prolonged inactivation. Importantly, could be preferable use reversible vivo, but nowadays only few compounds have developed. In present study, structural optimization a previously...

10.1021/acs.jmedchem.8b01483 article EN Journal of Medicinal Chemistry 2019-02-04

Monoacylglycerol lipase (MAGL) inhibitors are considered potential therapeutic agents for a variety of pathological conditions, including several types cancer. Many MAGL reported in literature; however, most them showed an irreversible mechanism action, which caused important side effects. The use reversible has been only partially investigated so far, mainly because the lack compounds with good inhibition properties. In this study, starting from...

10.1021/acs.jmedchem.6b01459 article EN Journal of Medicinal Chemistry 2016-11-03

Monoacylglycerol lipase (MAGL) is a serine hydrolase that plays an important role in the degradation of endocannabinoid neurotransmitter 2-arachidonoylglycerol, which implicated many physiological processes. Beyond possible utilization MAGL inhibitors as anti-inflammatory, antinociceptive, and anticancer agents, their application has encountered obstacles due to unwanted effects caused by irreversible inhibition this enzyme. The reversible only recently been explored, mainly deficiency known...

10.1021/acs.jmedchem.7b01845 article EN Journal of Medicinal Chemistry 2018-01-08

Neurodegenerative diseases represent a heterogeneous group of disorders that share common features like abnormal protein aggregation, perturbed Ca

10.3390/ijms19082329 article EN International Journal of Molecular Sciences 2018-08-08

(1) Background: In recent years, numerous studies have highlighted the beneficial effects of extra virgin olive oil (EVOO) as an active ingredient against chronic diseases. The properties EVOO are due to its peculiar composition, mainly rich content polyphenols. fact, polyphenols may contribute counteract oxidative stress, which often accompanies this work, antioxidant high-value polyphenol oleocanthal (OC) and main metabolites, tyrosol (Tyr) oleocanthalic acid (OA), respectively, been...

10.3390/molecules28135150 article EN cc-by Molecules 2023-06-30

Human carbonic anhydrases (hCAs) are involved in many physiological processes including respiration, pH control, ion transport, bone resorption, and gastric fluid secretion. Recently, CA IX XII have been studied for their role cancer diseases, motivating the design of inhibitors these isoforms. Here, we used tail approach to a new series monoaryl (1a-i) bicyclic (1j-n) benzensulfonamide derivatives inhibitors. All synthesized compounds were investigated toward panel hCAs, most them exhibited...

10.1080/17568919.2025.2453420 article EN Future Medicinal Chemistry 2025-01-29

Protein kinases are key regulators of cellular processes and critical therapeutic targets in diseases like cancer, making them a focal point for drug discovery efforts. In this context, we developed KinasePred, robust computational workflow that combines machine learning explainable artificial intelligence to predict the kinase activity small molecules while providing detailed insights into structural features driving ligand-target interactions. Our kinase-family predictive tool demonstrated...

10.3390/ijms26052157 article EN International Journal of Molecular Sciences 2025-02-27
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