Author

Alberto Manganaro

Istituto di Ricerche Farmacologiche "Mario Negri" | ProtoQSAR SL - Cited by 2,063 - QSAR - chemometrics - chemoinformatics - machine learning

Biography

Dr. Alberto Manganaro is currently working at Farmacologiche Department.Alberto Manganaro is research interests includes Farmacologiche in Toxicity assessment. Dr. serving as an editorial member and reviewer of several international reputed journals. Alberto Manganaro has successfully completed his Administrative responsibilities. Alberto Manganaro  has authored of many research articles/books related to Medicine.
Title
Cited by
Year
CAESAR models for developmental toxicity
A Cassano, A Manganaro, T Martin, D Young, N Piclin, M Pintore, ...Chemistry Central Journal 4, 1-11, 2010201
775
2010
VEGA-QSAR: AI inside a platform for predictive toxicology.
E Benfenati, A Manganaro, GC GiniPAI@ AI* IA 1107, 21-28, 2013201
158
2013
Automatic knowledge extraction from chemical structures: the case of mutagenicity prediction
T Ferrari, D Cattaneo, G Gini, N Golbamaki Bakhtyari, A Manganaro, ...SAR and QSAR in Environmental Research 24 (5), 365-383, 2013201
125
2013
A generalizable definition of chemical similarity for read-across
M Floris, A Manganaro, O Nicolotti, R Medda, GF Mangiatordi, E BenfenatiJournal of cheminformatics 6 (1), 1-7, 2014201
86
2014
Comparison of in silico tools for evaluating rat oral acute toxicity
R Gonella Diaza, S Manganelli, A Esposito, A Roncaglioni, A Manganaro, ...SAR and QSAR in Environmental Research 26 (1), 1-27, 2015201
86
2015
In silico models for predicting ready biodegradability under REACH: a comparative study
F Pizzo, A Lombardo, A Manganaro, E BenfenatiScience of the total environment 463, 161-168, 2013201
59
2013
ToxRead: a tool to assist in read across and its use to assess mutagenicity of chemicals
G Gini, AM Franchi, A Manganaro, A Golbamaki, E BenfenatiSAR and QSAR in Environmental Research 25 (12), 999-1011, 2014201
58
2014
coral Software: QSAR for Anticancer Agents
E Benfenati, AA Toropov, AP Toropova, A Manganaro, R Gonella DiazaChemical biology & drug design 77 (6), 471-476, 2011201
50
2011
A new in silico classification model for ready biodegradability, based on molecular fragments
A Lombardo, F Pizzo, E Benfenati, A Manganaro, T Ferrari, G GiniChemosphere 108, 10-16, 2014201
41
2014
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 BenfenatiChemosphere 144, 1624-1630, 2016201
35
2016
Using toxicological evidence from QSAR models in practice
E Benfenati, S Pardoe, T Martin, RG Diaza, A Lombardo, A Manganaro, ...ALTEX-Alternatives to animal experimentation 30 (1), 19-40, 2013201
34
2013
A knowledge-based expert rule system for predicting mutagenicity (Ames test) of aromatic amines and azo compounds
D Gadaleta, S Manganelli, A Manganaro, N Porta, E BenfenatiToxicology 370, 20-30, 2016201
34
2016
Integrated in silico strategy for PBT assessment and prioritization under REACH
F Pizzo, A Lombardo, A Manganaro, CI Cappelli, MI Petoumenou, ...Environmental Research 151, 478-492, 2016201
32
2016
Integrating in silico models to enhance predictivity for developmental toxicity
M Marzo, S Kulkarni, A Manganaro, A Roncaglioni, S Wu, ...Toxicology 370, 127-137, 2016201
32
2016
New quantitative structure–activity relationship models improve predictability of Ames mutagenicity for aromatic azo compounds
S Manganelli, E Benfenati, A Manganaro, S Kulkarni, TS Barton-Maclaren, ...Toxicological Sciences 153 (2), 316-326, 2016201
29
2016
A new structure-activity relationship (SAR) model for predicting drug-induced liver injury, based on statistical and expert-based structural alerts
F Pizzo, A Lombardo, A Manganaro, E BenfenatiFrontiers in Pharmacology 7, 442, 2016201
28
2016
Results of a round-robin exercise on read-across
E Benfenati, M Belli, T Borges, E Casimiro, J Cester, A Fernandez, G Gini, ...SAR and QSAR in Environmental Research (5), 371-384, 2016201
27
2016
A large comparison of integrated SAR/QSAR models of the Ames test for mutagenicity$
E Benfenati, A Golbamaki, G Raitano, A Roncaglioni, S Manganelli, ...SAR and QSAR in Environmental Research 29 (8), 591-611, 2018201
25
2018
Development, validation and integration of in silico models to identify androgen active chemicals
S Manganelli, A Roncaglioni, K Mansouri, RS Judson, E Benfenati, ...Chemosphere 220, 204-215, 2019201
24
2019
New clues on carcinogenicity-related substructures derived from mining two large datasets of chemical compounds
A Golbamaki, E Benfenati, N Golbamaki, A Manganaro, E Merdivan, ...Journal of Environmental Science and Health, Part C 34 (2), 97-113, 2016201
23
2016

Referred From: https://scholar.google.com/citations?user=qKhLyxEAAAAJ&hl=en

Cited by
Citations 2063
h-index 23
i10-index 33
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