Zobrazeno 1 - 10
of 38
pro vyhledávání: '"Serena Manganelli"'
Autor:
Douglas A. Keller, Arianna Bassan, Alexander Amberg, Leigh Ann Burns Naas, Jon Chambers, Kevin Cross, Frances Hall, Gloria D. Jahnke, Amarjit Luniwal, Serena Manganelli, Jordi Mestres, Amy L. Mihalchik-Burhans, David Woolley, Raymond R. Tice
Publikováno v:
Frontiers in Toxicology, Vol 5 (2023)
In silico toxicology protocols are meant to support computationally-based assessments using principles that ensure that results can be generated, recorded, communicated, archived, and then evaluated in a uniform, consistent, and reproducible manner.
Externí odkaz:
https://doaj.org/article/662e50fa83754807891531c6e030ecd7
Publikováno v:
Methods in molecular biology (Clifton, N.J.). 2425
Industrial needs and regulatory requirements have played a significant role in accelerating the use of nontesting methods including in silico tools as alternatives to animal testing. The main interest is not solely on the use of in silico tools, or i
Publikováno v:
Methods in Molecular Biology ISBN: 9781071619599
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::68ea21dd776ee50ac28d6f27426227f0
https://doi.org/10.1007/978-1-0716-1960-5_18
https://doi.org/10.1007/978-1-0716-1960-5_18
Autor:
Frank Bringezu, Phillip Bellion, Alexander Amberg, Jeffrey M. Birmingham, Alejandra Trejo-Martin, Glenn J. Myatt, Amy L. Mihalchik-Burhans, Amarjit Luniwal, Naomi L. Kruhlak, Rosalie K. Elespuru, Karen H. Watanabe-Sailor, Louise Neilson, Lidia Ceriani, Markus Frericks, Alessandro Brigo, John P. Rooney, Arun R. Pandiri, Helga Gerets, Alice Luu, Arianna Bassan, Angela White, Marc A. Beal, Federica Madia, Manuela Pavan, David Faulkner, Lennart T. Anger, Elena Lo Piparo, Marie C. Fortin, Jordi Mestres, Ian Crooks, David Woolley, Raymond R. Tice, Paul Fowler, Balasubramanian Manickam, David R. Jones, Cynthia V. Rider, Serena Manganelli, Juan Lopez-Belmonte, Gloria D. Jahnke, Kevin P. Cross, Romualdo Benigni
Publikováno v:
Comput Toxicol
Historically, identifying carcinogens has relied primarily on tumor studies in rodents, which require enormous resources in both money and time. In silico models have been developed for predicting rodent carcinogens but have not yet found general reg
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::de085dd3094d276c69682e6dfe5bb402
https://europepmc.org/articles/PMC8967183/
https://europepmc.org/articles/PMC8967183/
Autor:
Cosimo Toma, David Asturiol, Gianluca Selvestrel, Federica Robino, Emilio Benfenati, Giovanna J. Lavado, Alessandra Roncaglioni, Matteo Zanotti Russo, Alberto Manganaro, Serena Manganelli, Diego Baderna
Publikováno v:
ALTEX.
A new, freely available software for cosmetic products has been designed that considers the regulatory framework for cosmetics. The software allows an overall toxicological evaluation of cosmetic ingredients without the need for additional testing an
Publikováno v:
Molecular Informatics
Molecular Informatics, Wiley-VCH, 2020, 39, pp.art. 2000072. ⟨10.1002/minf.202000072⟩
Molecular Informatics, Wiley-VCH, 2020, 39, pp.art. 2000072. ⟨10.1002/minf.202000072⟩
The adipose tissue:blood partition coefficient is a key‐endpoint to predict the pharmacokinetics of chemicals in humans and animals, since other organ:blood affinities can be estimated as a function of this parameter. We performed a search in the l
Autor:
Geven Piir, Paola Gramatica, Vinicius M. Alves, Uko Maran, Xianliang Qiao, Michel Petitjean, Christopher M. Grulke, Karl-Werner Schramm, Giuseppe Felice Mangiatordi, Antony J. Williams, Barun Bhhatarai, Sherif Farag, Alexey V. Zakharov, Chetan Rupakheti, Emilio Benfenati, Weida Tong, Chandrabose Selvaraj, Eva Bay Wedebye, Fang Bai, Sugunadevi Sakkiah, Nicole Kleinstreuer, Ann M. Richard, Orazio Nicolotti, Huixiao Hong, George Van Den Driessche, Ilya A. Balabin, Eugene N. Muratov, Imran Shah, Ulf Norinder, Jiazhong Li, Huanxiang Liu, Viviana Consonni, Igor V. Tetko, Pavel V. Pogodin, Ruili Huang, Ester Papa, Ahmed Abdelaziz, Dragos Horvath, Alexandre Varnek, Patricia Ruiz, Carolina Horta Andrade, Domenico Alberga, Ziye Zheng, Roberto Todeschini, Daniela Trisciuzzi, Nina Jeliazkova, Xuehua Li, Dac-Trung Nguyen, Gilles Marcou, Zhongyu Wang, Kamel Mansouri, Alexander Tropsha, Yun Tang, Alessandro Sangion, Todd M. Martin, Xin Hu, Scott Boyer, Hongbin Xie, Serena Manganelli, Richard S. Judson, Nikolai Georgiev Nikolov, Jingwen Chen, Denis Fourches, Vladimir Poroikov, Alfonso T. García-Sosa, Alessandra Roncaglioni, Davide Ballabio, Patrik L. Andersson, Sulev Sild, Francesca Grisoni, Lixia Sun, Olivier Taboureau
Publikováno v:
Environmental Health Perspectives
Mansouri, K, Kleinstreuer, N, Abdelaziz, A M, Alberga, D, Alves, V M, Andersson, P L, Andrade, C H, Bai, F, Balabin, I, Ballabio, D, Benfenati, E, Bhhatarai, B, Boyer, S, Chen, J, Consonni, V, Farag, S, Fourches, D, García-Sosa, A T, Gramatica, P, Grisoni, F, Grulke, C M, Hong, H, Horvath, D, Hu, X, Huang, R, Jeliazkova, N, Li, J, Li, X, Liu, H, Manganelli, S, Mangiatordi, G F, Maran, U, Marcou, G, Martin, T, Muratov, E, Nguyen, D-T, Nicolotti, O, Nikolov, N G, Norinder, U, Papa, E, Petitjean, M, Piir, G, Pogodin, P, Poroikov, V, Qiao, X, Richard, A M, Roncaglioni, A, Ruiz, P, Rupakheti, C, Sakkiah, S, Sangion, A, Schramm, K-W, Selvaraj, C, Shah, I, Sild, S, Sun, L, Taboureau, O, Tang, Y, Tetko, I V, Todeschini, R, Tong, W, Trisciuzzi, D, Tropsha, A, Van Den Driessche, G, Varnek, A, Wang, Z, Wedebye, E B, Williams, A J, Xie, H, Zakharov, A V, Zheng, Z & Judson, R S 2020, ' CoMPARA: Collaborative Modeling Project for Androgen Receptor Activity ', Environmental Health Perspectives, vol. 128, no. 2, 027002 . https://doi.org/10.1289/ehp5580
Environmental Health Perspectives, National Institute of Environmental Health Sciences, 2020, 128 (2), pp.027002. ⟨10.1289/EHP5580⟩
Mansouri, K, Kleinstreuer, N, Abdelaziz, A M, Alberga, D, Alves, V M, Andersson, P L, Andrade, C H, Bai, F, Balabin, I, Ballabio, D, Benfenati, E, Bhhatarai, B, Boyer, S, Chen, J, Consonni, V, Farag, S, Fourches, D, García-Sosa, A T, Gramatica, P, Grisoni, F, Grulke, C M, Hong, H, Horvath, D, Hu, X, Huang, R, Jeliazkova, N, Li, J, Li, X, Liu, H, Manganelli, S, Mangiatordi, G F, Maran, U, Marcou, G, Martin, T, Muratov, E, Nguyen, D-T, Nicolotti, O, Nikolov, N G, Norinder, U, Papa, E, Petitjean, M, Piir, G, Pogodin, P, Poroikov, V, Qiao, X, Richard, A M, Roncaglioni, A, Ruiz, P, Rupakheti, C, Sakkiah, S, Sangion, A, Schramm, K-W, Selvaraj, C, Shah, I, Sild, S, Sun, L, Taboureau, O, Tang, Y, Tetko, I V, Todeschini, R, Tong, W, Trisciuzzi, D, Tropsha, A, Van Den Driessche, G, Varnek, A, Wang, Z, Wedebye, E B, Williams, A J, Xie, H, Zakharov, A V, Zheng, Z & Judson, R S 2020, ' CoMPARA: Collaborative Modeling Project for Androgen Receptor Activity ', Environmental Health Perspectives, vol. 128, no. 2, 027002 . https://doi.org/10.1289/ehp5580
Environmental Health Perspectives, National Institute of Environmental Health Sciences, 2020, 128 (2), pp.027002. ⟨10.1289/EHP5580⟩
Background:Endocrine disrupting chemicals (EDCs) are xenobiotics that mimic the interaction of natural hormones and alter synthesis, transport, or metabolic pathways. The prospect of EDCs causing adverse health effects in humans and wildlife has led
Autor:
Eleni Vrontaki, Nicola Porta, Guido Sello, Masamitsu Honma, Serena Manganelli, Domenico Gadaleta, Alberto Manganaro, Emilio Benfenati
Publikováno v:
Journal of Environmental Science and Health, Part C. 35:239-257
Azo dyes have several industrial uses. However, these azo dyes and their degradation products showed mutagenicity, inducing damage in environmental and human systems. Computational methods are proposed as cheap and rapid alternatives to predict the t
Publikováno v:
ALTEX. :169-178
Food contamination due to unintentional leakage of chemicals from food contact materials (FCM) is a source of increasing concern. Since for many of these substances, only limited or no toxicological data are available, the development of alternative
Publikováno v:
Chemosphere. 144:995-1001
A predictive model for the viability (%) of cultured human embryonic kidney cells (HEK293) exposed to 20 and 50 nm silica nanoparticles was built using 'optimal descriptors' as mathematical functions of size, concentration and exposure time. The calc