Advances in computational toxicology...
Hong, Huixiao.

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  • Advances in computational toxicology = methodologies and applications in regulatory science /
  • 紀錄類型: 書目-電子資源 : Monograph/item
    正題名/作者: Advances in computational toxicology/ edited by Huixiao Hong.
    其他題名: methodologies and applications in regulatory science /
    其他作者: Hong, Huixiao.
    出版者: Cham :Springer International Publishing : : 2019.,
    面頁冊數: xvii, 412 p. :ill., digital ;24 cm.
    內容註: Computational Toxicology Promotes Regulatory Science -- Tasks, Major Challenges and Emerging Modelling Methods for Computational Toxicology -- Xenobiotic Metabolism by Cytochrome P450s: Insights Gained from Molecular Simulations -- Applications of Molecular Modeling to Probe the Mechanism of Endocrine Disruptor Action -- Mixture Toxicity -- Towards reproducible in silico practice via OpenTox -- Combining Machine Learning and Multilayer Networks for Toxicity Prediction -- Matrix and tensor factorization for toxicity modelling -- Network-based In Silico Assessment of Drug Cardiotoxicity -- Mode-of-action-guided chemical toxicity prediction: A novel in silico approach for predictive toxicology -- Machine learning methods for toxicity analysis -- Predictive modeling of Tox21 data -- The NTP DrugMatrix Toxicogenomics Database and Analysis Tool -- Applications of Computational Toxicology for Risk Assessment of Food Ingredients and Indirect Food Additives -- In silico prediction of the point of departure (POD) with high throughput data -- The application of topic modeling on drug safety signal detection and analysis -- Molecular dynamics simulations and applications in computational toxicology -- Computational modeling for prediction of drug-induced liver injury in humans -- Genomics in vitro to in vivo extrapolation (GIVIVE) for drug safety evaluation.
    Contained By: Springer eBooks
    標題: Toxicology - Data processing. -
    電子資源: https://doi.org/10.1007/978-3-030-16443-0
    ISBN: 9783030164430
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