Arkaprava Banerjee & Kunal Roy. (2023) Prediction-Inspired Intelligent Training for the Development of Classification Read-across Structure–Activity Relationship (c-RASAR) Models for Organic Skin Sensitizers: Assessment of Classification Error Rate from Novel Similarity Coefficients. Chemical Research in Toxicology.
Crossref
Emilio Benfenati, Alessandra Roncaglioni & Erika Colombo. 2023. QSAR in Safety Evaluation and Risk Assessment. QSAR in Safety Evaluation and Risk Assessment
155
166
.
Giuseppina Gini, Chiakang Hung & Emilio Benfenati. 2023. Big Data Analytics in Chemoinformatics and Bioinformatics. Big Data Analytics in Chemoinformatics and Bioinformatics
115
150
.
Emilio Benfenati, Gianluca Selvestrel, Anna Lombardo & Davide Luciani. 2023. Current Trends in Computational Modeling for Drug Discovery. Current Trends in Computational Modeling for Drug Discovery
213
237
.
Linlin Zhao & Catrin Hasselgren. 2023. Machine Learning and Deep Learning in Computational Toxicology. Machine Learning and Deep Learning in Computational Toxicology
447
461
.
Edoardo Luca Viganò, Erika Colombo, Giuseppa Raitano, Alberto Manganaro, Alessio Sommovigo, Jean Lou CM Dorne & Emilio Benfenati. (2022) Virtual Extensive Read-Across: A New Open-Access Software for Chemical Read-Across and Its Application to the Carcinogenicity Assessment of Botanicals. Molecules 27:19, pages 6605.
Crossref
Alessandra Roncaglioni, Anna LombardoEmilio Benfenati. (2022) The VEGAHUB Platform: The Philosophy and the Tools. Alternatives to Laboratory Animals 50:2, pages 121-135.
Crossref
Mark T.D. Cronin, Steven J. Enoch, Judith C. Madden, James F. Rathman, Andrea-Nicole Richarz & Chihae Yang. (2022) A review of in silico toxicology approaches to support the safety assessment of cosmetics-related materials. Computational Toxicology 21, pages 100213.
Crossref
Serena Manganelli, Alessio Gamba, Erika Colombo & Emilio Benfenati. 2022. In Silico Methods for Predicting Drug Toxicity. In Silico Methods for Predicting Drug Toxicity
479
495
.
Giuseppina Gini. 2022. In Silico Methods for Predicting Drug Toxicity. In Silico Methods for Predicting Drug Toxicity
1
26
.
Yong Oh Lee & Baeckkyoung Sung. 2021. Chemometrics and Cheminformatics in Aquatic Toxicology. Chemometrics and Cheminformatics in Aquatic Toxicology
453
471
.
Mohammad Charehsaz, Gulcin Tugcu & Ahmet Aydin. (2020) Filling data gap for nicotinic acid, nicotinate esters and nicotinamide for the determination of permitted daily exposure by a category approach. Toxicological Research 37:3, pages 337-344.
Crossref
Giuseppina Gini. (2020) The QSAR similarity principle in the deep learning era: Confirmation or revision?. Foundations of Chemistry 22:3, pages 383-402.
Crossref
Florbela Pereira, Joana R. Almeida, Marisa Paulino, Inês R. Grilo, Helena Macedo, Isabel Cunha, Rita G. Sobral, Vitor Vasconcelos & Susana P. Gaudêncio. (2020) Antifouling Napyradiomycins from Marine-Derived Actinomycetes Streptomyces aculeolatus. Marine Drugs 18:1, pages 63.
Crossref
Giuseppina Gini & Francesco Zanoli. 2020. Ecotoxicological QSARs. Ecotoxicological QSARs
111
149
.
Emilio Benfenati & Anna Lombardo. 2020. Ecotoxicological QSARs. Ecotoxicological QSARs
759
787
.
Mark T. D. Cronin & Andrea-Nicole Richarz. 2019. Big Data in Predictive Toxicology. Big Data in Predictive Toxicology
359
384
.
Ricardo Bruno Hernández-Alvarado, Abraham Madariaga-Mazón & Karina Martinez-Mayorga. (2019) Prediction of toxicity of secondary metabolites. Physical Sciences Reviews 4:11.
Crossref
Emilio Benfenati, Qasim Chaudhry, Giuseppina Gini & Jean Lou Dorne. (2019) Integrating in silico models and read-across methods for predicting toxicity of chemicals: A step-wise strategy. Environment International 131, pages 105060.
Crossref
Grace Patlewicz, Lucina E. Lizarraga, Diego Rua, David G. Allen, Amber B. Daniel, Suzanne C. Fitzpatrick, Natàlia Garcia-Reyero, John Gordon, Pertti Hakkinen, Angela S. Howard, Agnes Karmaus, Joanna Matheson, Moiz Mumtaz, Andrea-Nicole Richarz, Patricia Ruiz, Louis Scarano, Takashi Yamada & Nicole Kleinstreuer. (2019) Exploring current read-across applications and needs among selected U.S. Federal Agencies. Regulatory Toxicology and Pharmacology 106, pages 197-209.
Crossref
Judith C. Madden, Gopal Pawar, Mark T.D. Cronin, Steven Webb, Yu-Mei Tan & Alicia Paini. (2019) In silico resources to assist in the development and evaluation of physiologically-based kinetic models. Computational Toxicology 11, pages 33-49.
Crossref
C.L. Mellor, R.L. Marchese Robinson, R. Benigni, D. Ebbrell, S.J. Enoch, J.W. Firman, J.C. Madden, G. Pawar, C. Yang & M.T.D. Cronin. (2019) Molecular fingerprint-derived similarity measures for toxicological read-across: Recommendations for optimal use. Regulatory Toxicology and Pharmacology 101, pages 121-134.
Crossref
Mark T.D. Cronin & Miyoung Yoon. 2019. The History of Alternative Test Methods in Toxicology. The History of Alternative Test Methods in Toxicology
287
300
.
Emilio Benfenati, Alessandra Roncaglioni, Anna Lombardo & Alberto Manganaro. 2019. Advances in Computational Toxicology. Advances in Computational Toxicology
365
381
.
Anna Olejnik, Alicja Sliwowska & Izabela Nowak. (2018)
A conjugate of jasmonic acid and tetrapeptide Tyr-Tyr-Lys-Ser-NH
2
as a potential ingredient for skin care products – synthesis and characterization
. New Journal of Chemistry 42:14, pages 11268-11272.
Crossref
Y. G. Chushak, H. W. Shows, J. M. Gearhart & H. A. Pangburn. (2018)
In silico
identification of protein targets for chemical neurotoxins using ToxCast
in vitro
data and read-across within the QSAR toolbox
. Toxicology Research 7:3, pages 423-431.
Crossref
Giuseppina Gini. 2018. Computational Toxicology. Computational Toxicology
79
105
.
Viktor Drgan, Špela Župerl, Marjan Vračko, Claudia Ileana Cappelli & Marjana Novič. (2017) CPANNatNIC software for counter-propagation neural network to assist in read-across. Journal of Cheminformatics 9:1.
Crossref
Grace Patlewicz, George Helman, Prachi Pradeep & Imran Shah. (2017) Navigating through the minefield of read-across tools: A review of in silico tools for grouping. Computational Toxicology 3, pages 1-18.
Crossref
Azadi Golbamaki, Alessio Mauro Franchi & Giuseppina Gini. 2017. Advances in QSAR Modeling. Advances in QSAR Modeling
149
165
.
Imran Shah, Jie Liu, Richard S. Judson, Russell S. Thomas & Grace Patlewicz. (2016) Systematically evaluating read-across prediction and performance using a local validity approach characterized by chemical structure and bioactivity information. Regulatory Toxicology and Pharmacology 79, pages 12-24.
Crossref
Grace Patlewicz & Jeremy M. Fitzpatrick. (2016)
Current and Future Perspectives on the Development, Evaluation, and Application of
in Silico
Approaches for Predicting Toxicity
. Chemical Research in Toxicology 29:4, pages 438-451.
Crossref
Serena Manganelli & Emilio Benfenati. 2016. In Silico Methods for Predicting Drug Toxicity. In Silico Methods for Predicting Drug Toxicity
305
322
.
Giuseppina Gini. 2016. In Silico Methods for Predicting Drug Toxicity. In Silico Methods for Predicting Drug Toxicity
1
20
.
Fabiola Pizzo, Domenico Gadaleta, Anna Lombardo, Orazio Nicolotti & Emilio Benfenati. (2015) Identification of structural alerts for liver and kidney toxicity using repeated dose toxicity data. Chemistry Central Journal 9:1.
Crossref
Marjan Vračko & Jure Zupan. (2015) A non-standard view on artificial neural networks. Chemometrics and Intelligent Laboratory Systems 149, pages 140-152.
Crossref