Publications

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The VEGA Tool to Check the Applicability Domain Gives Greater Confidence in the Prediction of In Silico Models

A. Danieli, E. Colombo, G. Raitano, A. Lombardo, A. Roncaglioni, A. Manganaro, A. Sommovigo, E. Carnesecchi, J. L. CM Dorne, E. Benfenati

International Journal of Molecular Sciences 24 (2023)
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SpheraCosmolife: a new tool for the risk assessment of cosmetic products

G. Selvestrel, F. Robino, D. Baderna, S. Manganelli, D. Asturiol, A. Manganaro, M. Zanotti Russo, G. Lavado, C. Toma, A. Roncaglioni, E. Benfenati

ALTEX-Alternatives to animal experimentation (2021)
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QSAR Models for Human Carcinogenicity: An Assessment Based on Oral and Inhalation Slope Factors

C. Toma, A. Manganaro, G. Raitano, M. Marzo, D. Gadaleta, D. Baderna, A. Roncaglioni, N. Kramer, E. Benfenati

Molecules 26 (2021)
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Loss of ap4s1 in zebrafish leads to neurodevelopmental defects resembling spastic paraplegia 52

A. D’Amore, A. Tessa, V. Naef, M. T. Bassi, A. Citterio, R. Romaniello, G. Fichi, D. Galatolo, S. Mero, R. Battini, G. Bertocci, J. Baldacci, F. Sicca, F. Gemignani, I. Ricca, A. Rubegni, J. Hirst, M. Marchese, M. Sahin, D. Ebrahimi‐Fakhari, F. M. Santorelli

Annals of clinical and translational neurology 7 (2020)
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Integrating in silico models for the prediction of mutagenicity (Ames test) of botanicalingredients of cosmetics

G. Raitano, A. Roncaglioni, A. Manganaro, M. Honma, L. Sousselier, Q. T. Do, E. Paya, E.Benfenati

Computational Toxicology 12 (2019)
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Development, validation and integration of in silico models to identify androgen activechemicals

S. Manganelli, A. Roncaglioni, K. Mansouri, R. S Judson, E. Benfenati, A. Manganaro, P. Ruiz

Chemosphere 220 (2019)
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QSAR models and their practical use. The experience of Kode

A. Manganaro

Biomedical Science and Engineering (2019)
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Integrating QSAR, Read-Across, and Screening Tools: The VEGAHUB Platform as an Example

E. Benfenati, A. Roncaglioni, A. Lombardo, A. Manganaro

Advances in Computational Toxicology (2019)
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Spinocerebellar ataxia 48 presenting with ataxia associated with cognitive, psychiatric, and extrapyramidal features: a report of two Italian families

G. De Michele, M. Lieto, D. Galatolo, E. Salvatore, S. Cocozza, M. Barghigiani, A. Tessa, J. Baldacci, S. Pappatà, A. Filla, G. De Michele, F. M. Santorelli

Parkinsonism & related disorders 65 (2019)
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A large comparison of integrated SAR/QSAR models of the Ames test for mutagenicity

E. Benfenati, A. Golbamaki, G. Raitano, A. Roncaglioni, S. Manganelli, F. Lemke, U. Norinder, E. Lo Piparo, M. Honma, A. Manganaro, G. Gini

SAR and QSAR in Environmental Research 29 (2018)
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Integrated strategy for mutagenicity prediction applied to food contact chemicals

S. Manganelli, B. Schilter, E. Benfenati, A. Manganaro, E. Lo Piparo

ALTEX-Alternatives to animal experimentation 35 (2018)
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Clinical and neuroimaging features of autosomal recessive spastic paraplegia 35 (SPG35): case reports, new mutations, and brief literature review

F. Mari, B. Berti, A. Romano, J. Baldacci, R. Rizzi, M. G. Alessandrì, A. Tessa, E. Procopio, A. Rubegni, C. Marques Lourenḉo, A. Simonati, R. Guerrini, F. M. Santorelli

Neurogenetics 19 (2018)
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Integrated in silico strategy for PBT assessment and prioritization under REACH

F. Pizzo, A. Lombardo, A. Manganaro, C. I. Cappelli, M. I. Petoumenou, F. Albanese, A. Roncaglioni, M. Brandt, E. Benfenati

Environmental research 151 (2016)
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Integrating in silico models to enhance predictivity for developmental toxicity

M. Marzo, S. Kulkarni, A. Manganaro, A. Roncaglioni, S. Wu, T. S. Barton-Maclaren, C. Lester, E. Benfenati

Toxicology 370 (2016)
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A new integrated in silico strategy for the assessment and prioritization of persistence of chemicals under REACH

F. Pizzo, A. Lombardo, M. Brandt, A. Manganaro, E. Benfenati

Environment international 88 (2016)
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Predicting persistence in the sediment compartment with a new automatic software based on the k-Nearest Neighbor (k-NN) algorithm

A. Manganaro, F. Pizzo, A. Lombardo, A. Pogliaghi, E. Benfenati

Chemosphere 144 (2016)
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A generalizable definition of chemical similarity for read-across

M. Floris, A. Manganaro, O. Nicolotti, R. Medda, G. F. Mangiatordi, E. Benfenati

Journal of cheminformatics 6 (2014)
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Using toxicological evidence from QSAR models in practice

E. Benfenati, S. Pardoe, T. Martin, R. Gonella Diaza, A. Lombardo, A. Manganaro, A. Gissi

ALTEX-Alternatives to animal experimentation 30 (2013)
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WS-SNPs&GO: a web server for predicting the deleterious effect of human protein variants using functional annotation

E. Capriotti, R. Calabrese, P. Fariselli, P.L. Martelli, R.B. Altman, R. Casadio

BMC Genomics 14 (2013)
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Functional annotations improve the predictive score of human disease-related mutations in proteins

R. Calabrese, E. Capriotti, P. Fariselli, P.L. Martelli, R. Casadio

Hum Mutat. 30 (2009)
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Peptides multivariate characterisation using a molecular descriptor based approach

A. Mauri, D. Ballabio, V. Consonni, A. Manganaro, R. Todeschini

MATCH Commun. Math. Comput. Chem 60 (2008)
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The DART (decision analysis by ranking techniques) software

A. Manganaro, D. Ballabio, V. Consonni, A. Mauri, M. Pavan, R. Todeschini

Data Handling in Science and Technology, pg 193-207 (Elsevier, 2008)
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Predicting protein stability changes from sequences using support vector machines

L. Bartoli, R. Calabrese, P. Fariselli, D.G. Mita, R. Casadio

BMC Bioinformatics 8 (2007)
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A computational approach for detecting peptidases and their specific inhibitors at the genome level

L. Bartoli, R. Calabrese, P. Fariselli, D.G. Mita, R. Casadio

BMC Bioinformatics 8 (2007)