Angela Bassoli

Prof. Angela Bassoli

Department of Food, Environmental, and Nutritional Sciences (DeFENS), University of Milan
orcid

Research Focus & Metrics

Academic Career Length

40Years (1987-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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21 September 2017 in Scientific Reports
Verified
Journal Article
Open access
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ADAyana Dagan-Wiener
Ayana Dagan-Wiener
INIdo Nissim
Ido Nissim
NANatalie Ben Abu
Natalie Ben Abu
GBGigliola Borgonovo
Gigliola Borgonovo
Angela BassoliAngela Bassoli
Angela Bassoli
MNMasha Y Niv
Masha Y Niv
Bitter taste is an innately aversive taste modality that is considered to protect animals from consuming toxic compounds. Yet, bitterness is not always noxious and some bitter compounds have beneficial effects on health. Hundreds of bitter compounds were reported (and are accessible via the BitterDB http://bitterdb.agri.huji.ac.il/dbbitter.php), but numerous additional bitter molecules are still unknown. The dramatic chemical diversity of bitterants makes bitterness prediction a difficult task. Here we present a machine learning classifier, BitterPredict, which predicts whether a compound is bitter or not, based on its chemical structure. BitterDB was used as the positive set, and non-bitter molecules were gathered from literature to create the negative set. Adaptive Boosting (AdaBoost), based on decision trees machine-learning algorithm was applied to molecules that were represented using physicochemical and ADME/Tox descriptors. BitterPredict correctly classifies over 80% of the compounds in the hold-out test set, and 70–90% of the compounds in three independent external sets and in sensory test validation, providing a quick and reliable tool for classifying large sets of compounds into bitter and non-bitter groups. BitterPredict suggests that about 40% of random molecules, and a large portion (66%) of clinical and experimental drugs, and of natural products (77%) are bitter.

1 August 2005 in Journal of Medicinal Chemistry
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Journal Article
Closed access
GMGabriella Morini
Gabriella Morini
Angela BassoliAngela Bassoli
Angela Bassoli
PTPiero A. Temussi
Piero A. Temussi


12 October 2018 in Nutrients
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Journal Article
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ALAlessandro Leone
Alessandro Leone
SBSimona Bertoli
Simona Bertoli
SLSara Di Lello
Sara Di Lello
Angela BassoliAngela Bassoli
Angela Bassoli
SRStefano Ravasenghi
Stefano Ravasenghi
ABAlberto Battezzati
Alberto Battezzati
The hypoglycemic effect in humans of Moringa oleifera (MO) leaf powder has, to date, been poorly investigated. We assessed the chemical composition of MO leaf powder produced at Saharawi refugee camps, its in vitro ability to inhibit α-amylase activity, and its sensory acceptability in food. We then evaluated its effect on postprandial glucose response by randomly administering, on 2 different days, a traditional meal supplemented with 20 g of MO leaf powder (MOR20), or not (control meal, CNT), to 17 Saharawi diabetics and 10 healthy subjects. Capillary glycaemia was measured immediately before the meal and then at 30 min intervals for 3 h. In the diabetic subjects the postprandial glucose response peaked earlier with MOR20 compared to CNT and with lower increments at 90, 120, and 150 min. The mean glycemic meal response with MOR20 was lower than with CNT. The healthy subjects showed no differences. Thus, MO leaf powder could be a hypoglycemic herbal drug. However, given the poor taste acceptability of the 20 g MO meal, lower doses should be evaluated. Moreover, the hypoglycemic effects of MO leaf powder should also be demonstrated by trials evaluating its long-term effects on glycaemia.


11 November 2021 in Journal of Agricultural and Food Chemistry
Verified
Journal Article
Open access
SBSebastian Bayer
Sebastian Bayer
AMAriane Isabell Mayer
Ariane Isabell Mayer
GBGigliola Borgonovo
Gigliola Borgonovo
Gabriella MoriniGabriella Morini
Gabriella Morini
Antonella Di PizioAntonella Di Pizio
Antonella Di Pizio
Angela BassoliAngela Bassoli
Angela Bassoli
Food compounds with a bitter taste have a role in human health, both for their capability to influence food choice and preferences and for their possible systemic effect due to the modulation of extra-oral bitter taste receptors (TAS2Rs). Investigating the interaction of bitter food compounds with TAS2Rs is a key step to unravel their complex effects on health and to pave the way to rationally design new additives for food formulation or drugs. Here, we propose a collection of food bitter compounds, for which in vitro activity data against TAS2Rs are available. The patterns of TAS2R subtype-specific agonists were analyzed using scaffold decomposition and chemical space analysis, providing a detailed characterization of the associations between food bitter tastants and TAS2Rs.