D
Domenico Gadaleta
Researcher at Mario Negri Institute for Pharmacological Research
Publications - 43
Citations - 1343
Domenico Gadaleta is an academic researcher from Mario Negri Institute for Pharmacological Research. The author has contributed to research in topics: Medicine & Biology. The author has an hindex of 16, co-authored 36 publications receiving 942 citations. Previous affiliations of Domenico Gadaleta include University of Bari.
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Journal ArticleDOI
Adverse outcome pathways: opportunities, limitations and open questions.
Marcel Leist,Ahmed Ghallab,Ahmed Ghallab,Rabea Graepel,Rosemarie Marchan,Reham Hassan,Reham Hassan,Susanne Hougaard Bennekou,Alice Limonciel,Mathieu Vinken,Stefan Schildknecht,Tanja Waldmann,Erik H.J. Danen,Ben van Ravenzwaay,Hennicke Kamp,Iain Gardner,Patricio Godoy,Frédéric Y. Bois,Albert Braeuning,Raymond Reif,Franz Oesch,Dirk Drasdo,Dirk Drasdo,Stefan Höhme,Michael Schwarz,Thomas Hartung,Thomas Braunbeck,Joost B. Beltman,Harry Vrieling,Ferran Sanz,Anna Forsby,Anna Forsby,Domenico Gadaleta,Ciarán Fisher,Jens M. Kelm,David A. Fluri,Gerhard F. Ecker,Barbara Zdrazil,Andrea Terron,Paul Jennings,Bart van der Burg,Steven Dooley,Annemarie H. Meijer,Egon Willighagen,Egon Willighagen,Marvin Martens,Chris T. Evelo,Chris T. Evelo,Enrico Mombelli,Olivier Taboureau,Olivier Taboureau,Alberto Mantovani,Barry Hardy,Bjørn E. V. Koch,Sylvia Escher,Christoph van Thriel,Cristina Cadenas,Dinant Kroese,Bob van de Water,Jan G. Hengstler +59 more
TL;DR: The history of the AOP concept and its most prominent strengths are discussed, including the advantages of a formalized approach, the systematic collection of weight of evidence, the linkage of mechanisms to apical end points, the examination of the plausibility of epidemiological data, the identification of critical knowledge gaps and the design of mechanistic test methods.
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Applicability Domain for QSAR models: where theory meets reality
TL;DR: A number of approaches used to build the Applicability Domain are surveyed, focusing on strategies based on: a) physico-chemical, b) structural and c) response domains, which represents the chemical space from which a model is derived and where a prediction is considered to be reliable.
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Structure-Based Design and Optimization of Multitarget-Directed 2H-Chromen-2-one Derivatives as Potent Inhibitors of Monoamine Oxidase B and Cholinesterases
Roberta Farina,Leonardo Pisani,Marco Catto,Orazio Nicolotti,Domenico Gadaleta,Nunzio Denora,Ramón Soto-Otero,Estefanía Méndez-Álvarez,Carolina dos Santos Passos,Giovanni Muncipinto,Cosimo Altomare,Alessandra Nurisso,Pierre-Alain Carrupt,Angelo Carotti +13 more
TL;DR: Cell-based assays of BBB permeation, neurotoxicity, and neuroprotection supported the potential of compound 37 as a BBB-permeant neuroprotective agent against H2O2-induced oxidative stress with poor interaction as P-gp substrate and very low cytotoxicity.
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SAR and QSAR modeling of a large collection of LD50 rat acute oral toxicity data
Domenico Gadaleta,Kristijan Vukovic,Cosimo Toma,Cosimo Toma,Giovanna J. Lavado,Agnes L. Karmaus,Kamel Mansouri,Nicole Kleinstreuer,Emilio Benfenati,Alessandra Roncaglioni +9 more
TL;DR: (Quantitative) structure–activity relationships [(Q)SAR] proved a valid alternative to reduce and assist in vivo assays for assessing acute toxicological hazard and confirmed the relevance of developed models in regulatory frameworks, and the effectiveness of integrated modeling.
Journal ArticleDOI
REACH and in silico methods: an attractive opportunity for medicinal chemists.
Orazio Nicolotti,Emilio Benfenati,Angelo Carotti,Domenico Gadaleta,Andrea Gissi,Giuseppe Felice Mangiatordi,Ettore Novellino +6 more
TL;DR: Toxicological endpoints and areas where further development is needed are discussed to provide an enlightened appraisal of this attractive new opportunity in REACH.