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Viviana Consonni

Researcher at University of Milano-Bicocca

Publications -  103
Citations -  11851

Viviana Consonni is an academic researcher from University of Milano-Bicocca. The author has contributed to research in topics: Molecular descriptor & Similarity (network science). The author has an hindex of 30, co-authored 97 publications receiving 10280 citations. Previous affiliations of Viviana Consonni include University of Milan.

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Journal ArticleDOI

Structural alerts for the identification of bioaccumulative compounds.

TL;DR: In this article, a decision-support system based on structural alerts is proposed for the identification of substances with bioaccumulation potential, which can be integrated with other sources of information, such as experimental and in silico data, to reduce the uncertainty of the assessment, thereby supporting a weight-of-evidence approach.
Book ChapterDOI

New QSAR Modelling Approach Based on Ranking Models by Genetic Algorithms - Variable Subset Selection (GA-VSS)

TL;DR: In this article, partial and total order ranking strategies, which are based on elementary methods of discrete mathematics, appear as an attractive and simple tool to perform data analysis, and they can be used as alternative to statistical methods such as multiple linear regression (MLR), since they do not require specific functional relationship between the independent variables and the dependent variables (responses).
Journal ArticleDOI

Toward an in vitro test for the diagnosis of allergy to penicillins. Synthesis, characterization, and use of beta-lactam and beta-lactam metabolite poly-L-lysines which recognize human IgE antibodies.

TL;DR: The chemiometric evaluation of the data indicates that allergy to amoxycillin is different from allergy to the other beta-lactams tested and careful chemical characterization of the conjugates appears to be crucial to obtain meaningful information from the RAST data.
Journal ArticleDOI

Application of DNA mini-barcoding and infrared spectroscopy for the authentication of the Italian product “bottarga”

TL;DR: DNA mini-barcoding and infrared spectroscopy failed in the taxonomic distinction, whereas enabled PLS-DA classification of aged samples (and thus the identification of fresh prepared artisanal products) with model non-error rate in fitting equal to 0.96 and 0.89.