Publication Cover
Journal of Environmental Science and Health, Part C
Environmental Carcinogenesis and Ecotoxicology Reviews
Volume 34, 2016 - Issue 2
291
Views
24
CrossRef citations to date
0
Altmetric
Original Articles

New clues on carcinogenicity-related substructures derived from mining two large datasets of chemical compounds

, , , , , & show all

Keep up to date with the latest research on this topic with citation updates for this article.

Read on this site (1)

E. Carnesecchi, G. Raitano, A. Gamba, E. Benfenati & A. Roncaglioni. (2020) Evaluation of non-commercial models for genotoxicity and carcinogenicity in the assessment of EFSA’s databases. SAR and QSAR in Environmental Research 31:1, pages 33-48.
Read now

Articles from other publishers (23)

Denis Habauzit, Pierre Lemée & Valérie Fessard. (2024) MycoCentral: An innovative database to compile information on mycotoxins and facilitate hazard prediction. Food Control 159, pages 110273.
Crossref
Zhe Chen, Li Zhang, Jianqiang Sun, Rui Meng, Shuaidong Yin & Qi Zhao. (2023) DCAMCP : A deep learning model based on capsule network and attention mechanism for molecular carcinogenicity prediction . Journal of Cellular and Molecular Medicine 27:20, pages 3117-3126.
Crossref
Kyung-Taek Rim. (2023) Evaluations of carcinogens from comparison of cancer slope factors: meta-analysis and systemic literature reviews. Molecular & Cellular Toxicology 19:4, pages 635-656.
Crossref
Huimin Sun, Qing Yang, Xinxin Yu, Mengting Huang, Meng Ding, Weihua Li, Yun Tang & Guixia Liu. (2023) Prediction of IDO1 Inhibitors by a Fingerprint‐Based Stacking Ensemble Model Named IDO1Stack. ChemMedChem 18:17.
Crossref
Marc Audebert, Ann-Sophie Assmann, Amaya Azqueta, Pavel Babica, Emilio Benfenati, Sylvie Bortoli, Peter Bouwman, Albert Braeuning, Tanja Burgdorf, Xavier Coumoul, Kloé Debizet, Maria Dusinska, Norman Ertych, Jörg Fahrer, Verena Fetz, Ludovic Le Hégarat, Adela López de Cerain, Harm J. Heusinkveld, Kevin Hogeveen, Miriam N. Jacobs, Mirjam Luijten, Giuseppa Raitano, Cynthia Recoules, Elise Rundén-Pran, Mariam Saleh, Iva Sovadinová, Martina Stampar, Lea Thibol, Céline Tomkiewicz, Ariane Vettorazzi, Bob Van de Water, Naouale El Yamani, Bojana Zegura & Michael Oelgeschläger. (2023) New approach methodologies to facilitate and improve the hazard assessment of non-genotoxic carcinogens—a PARC project. Frontiers in Toxicology 5.
Crossref
Pierre Lemée, Valérie Fessard & Denis Habauzit. (2023) Prioritization of mycotoxins based on mutagenicity and carcinogenicity evaluation using combined in silico QSAR methods. Environmental Pollution 323, pages 121284.
Crossref
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
Yuwei Yang, Zhenxing Wu, Xiaojun Yao, Yu Kang, Tingjun Hou, Chang-Yu Hsieh & Huanxiang Liu. (2022) Exploring Low-Toxicity Chemical Space with Deep Learning for Molecular Generation. Journal of Chemical Information and Modeling 62:13, pages 3191-3199.
Crossref
Ana Y. Caballero Alfonso, Liadys Mora Lagares, Marjana Novic, Emilio Benfenati, Anil Kumar & Chayawan. (2022) Exploration of structural requirements for azole chemicals towards human aromatase CYP19A1 activity: Classification modeling, structure-activity relationships and read-across study. Toxicology in Vitro 81, pages 105332.
Crossref
Jâmeson Ferreira da Silva, Dione Silva Corrêa, Érico Leite Campos, Giovana Zamprônio Leite, João Denis Medeiros de Oliveira, Jean Fachini, Juliana da Silva, Eliane Sempé Obach, Leandra Franciscato Campo, Ivana Grivicich, Hermes Luis Neubauer de Amorim & Jaqueline Nascimento Picada. (2022) Evaluation of toxicological aspects of three new benzoxazole compounds with sunscreen photophysical properties using in silico and in vitro methods. Toxicology in Vitro 79, pages 105300.
Crossref
Azadi Golbamaki, Emilio Benfenati & Alessandra Roncaglioni. 2022. In Silico Methods for Predicting Drug Toxicity. In Silico Methods for Predicting Drug Toxicity 201 215 .
Xiaoxiao Zhang, Piaopiao Zhao, Zhiyuan Wang, Xuan Xu, Guixia Liu, Yun Tang & Weihua Li. (2021) In Silico Prediction of CYP2C8 Inhibition with Machine-Learning Methods. Chemical Research in Toxicology 34:8, pages 1850-1859.
Crossref
Kalyan Ghosh, Sk. Abdul Amin, Shovanlal Gayen & Tarun Jha. (2021) Unmasking of crucial structural fragments for coronavirus protease inhibitors and its implications in COVID-19 drug discovery. Journal of Molecular Structure 1237, pages 130366.
Crossref
Bárbara Lopes Alderete, Juliana da Silva, Rafael Godoi, Fernanda Rabaioli da Silva, Silvio Roberto Taffarel, Lucas Pisoni da Silva, Ana Leticia Hilario Garcia, Horst Mitteregger Júnior, Hermes Luís Neubauer de Amorim & Jaqueline Nascimento Picada. (2021) Evaluation of toxicity and mutagenicity of a synthetic effluent containing azo dye after Advanced Oxidation Process treatment. Chemosphere 263, pages 128291.
Crossref
Cosimo Toma, Alberto Manganaro, Giuseppa Raitano, Marco Marzo, Domenico Gadaleta, Diego Baderna, Alessandra Roncaglioni, Nynke Kramer & Emilio Benfenati. (2020) QSAR Models for Human Carcinogenicity: An Assessment Based on Oral and Inhalation Slope Factors. Molecules 26:1, pages 127.
Crossref
Ik Sup Jin, Moon Sup Yoon, Chun-Woong Park, Jin Tae Hong, Youn Bok Chung, Jin-Seok Kim & Dae Hwan Shin. (2020) Replacement techniques to reduce animal experiments in drug and nanoparticle development. Journal of Pharmaceutical Investigation 50:3, pages 327-335.
Crossref
Yi-Wei Wang, Lei Huang, Si-Wen Jiang, Kan Li, Jun Zou & Sheng-Yong Yang. (2020) CapsCarcino: A novel sparse data deep learning tool for predicting carcinogens. Food and Chemical Toxicology 135, pages 110921.
Crossref
Giuseppina Gini & Francesco Zanoli. 2020. Ecotoxicological QSARs. Ecotoxicological QSARs 111 149 .
Emilio Benfenati, Alessandra Roncaglioni, Anna Lombardo & Alberto Manganaro. 2019. Advances in Computational Toxicology. Advances in Computational Toxicology 365 381 .
Hongbin Yang, Lixia Sun, Weihua Li, Guixia Liu & Yun Tang. (2018) Identification of Nontoxic Substructures: A New Strategy to Avoid Potential Toxicity Risk. Toxicological Sciences 165:2, pages 396-407.
Crossref
Hongbin Yang, Lixia Sun, Weihua Li, Guixia Liu & Yun Tang. (2018) In Silico Prediction of Chemical Toxicity for Drug Design Using Machine Learning Methods and Structural Alerts. Frontiers in Chemistry 6.
Crossref
Hongbin Yang, Jie Li, Zengrui Wu, Weihua Li, Guixia Liu & Yun Tang. (2017) Evaluation of Different Methods for Identification of Structural Alerts Using Chemical Ames Mutagenicity Data Set as a Benchmark. Chemical Research in Toxicology 30:6, pages 1355-1364.
Crossref
Li Zhang, Haixin Ai, Wen Chen, Zimo Yin, Huan Hu, Junfeng Zhu, Jian Zhao, Qi Zhao & Hongsheng Liu. (2017) CarcinoPred-EL: Novel models for predicting the carcinogenicity of chemicals using molecular fingerprints and ensemble learning methods. Scientific Reports 7:1.
Crossref

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.