A Possible Chemo-biodescriptor Framework for the Prediction of Toxicity of Nanosubstances: An Integrated Computational Approach

Vracko Marjan; Witzmann Frank A.; Basak Subhash C.

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A Possible Chemo-biodescriptor Framework for the Prediction of Toxicity of Nanosubstances: An Integrated Computational Approach

机译：可能的化学生物或纳米碘代表框架，用于预测纳米术毒性：综合计算方法

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来源
《Current computer-aided drug design》 |2018年第1期|共3页
作者
Vracko Marjan; Witzmann Frank A.; Basak Subhash C.;
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作者单位

Natl Inst Chem Hajdrihova 19 Ljubljana 1000 Slovenia;

Indiana Univ Sch Med Dept Cellular &

Integrat Physiol &

Biochem &

Mol 635 Barnhill Dr MS405;

Univ Minnesota Nat Resources Res Inst Dept Chem &

Biochem Duluth MN 55811 USA;

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原文格式 PDF
正文语种 eng
中图分类药学;
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1. A Possible Chemo-biodescriptor Framework for the Prediction of Toxicity of Nanosubstances: An Integrated Computational Approach [J] . Vracko Marjan, Witzmann Frank A., Basak Subhash C. Current computer-aided drug design . 2018,第1期

机译：可能的化学生物或纳米碘代表框架，用于预测纳米术毒性：综合计算方法
2. Structural feature based computational approach of toxicity prediction of ionic liquids: Cationic and anionic effects on ionic liquids toxicity [J] . Salam M. Abdus, Abdullah Bawadi, Ramli Anita, Journal of Molecular Liquids . 2016,第Pta1期

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3. Plant-mSubP: a computational framework for the prediction of single- and multi-target protein subcellular localization using integrated machine-learning approaches [J] . Sitanshu S Sahu, Cristian D Loaiza, Rakesh Kaundal AoB PLANTS . 2020,第3期

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4. Nanotoxicity prediction using computational modelling -review and future directions [C] . Bhavna Saini, Sumit Srivastava International Conference on Materials Engineering and Applications . 2018

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5. A Computational Framework for Infrastructure Performance Predictions Based on Data, Mechanics, and Machine Learning [D] . Yang, Yicheng. 2018

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6. Plant-mSubP: a computational framework for the prediction of single- and multi-target protein subcellular localization using integrated machine-learning approaches [O] . Sitanshu S Sahu, Cristian D Loaiza, Rakesh Kaundal 2020

机译：Plant-mSubP：使用集成的机器学习方法预测单靶和多靶蛋白亚细胞定位的计算框架
7. Structural feature based computational approach of toxicity prediction of ionic liquids: Cationic and anionic effects on ionic liquids toxicity [O] . M Abdus Salam, Bawadi Abdullah, Anita Ramli, 2016

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A Possible Chemo-biodescriptor Framework for the Prediction of Toxicity of Nanosubstances: An Integrated Computational Approach

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