New descriptors in toxicology prediction of nanomaterials: Using quasi-ab ini...

B2FIND2026-05-30 收录

纳米毒理学预测

计算描述符开发

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https://b2find.eudat.eu/dataset/42d2d9b4-982b-5898-8161-27482c35f4e1 数据链接链接失效反馈

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This dataset houses a research poster, its poster abstract, and its award certificate. The set of documents was first presented at The Virtual 10th International Conference on...

Additional file 1 of A Nano-QSTR model to predict nano-cytotoxicity: an approach using human lung cells data

纳米毒理学预测

计算毒理学

Additional file 1. Table S1 Original dataset. Table S2 List and description of calculated nano-descriptors. Table S3 Dataset with calculated nano-descriptors. Table S4 Dataset for modelling after the

Figshare2023-05-22 更新50

Application of Bayesian networks in determining nanoparticle-induced cellular outcomes using transcriptomics

纳米毒理学预测

转录组学

Inroads have been made in our understanding of the risks posed to human health and the environment by nanoparticles (NPs) but this area requires continuous research and monitoring. Machine learning te

NIAID Data Ecosystem30

Nano-read-across predictions of toxicity of metal oxide engineered nanoparticles (MeOx ENPS) used in nanopesticides to BEAS-2B and RAW 264.7 cells

纳米毒理学预测

计算毒理学

The demand for nutrients and new technologies has increased with population growth. The agro-technological revolution with metal oxide engineered nanoparticles (MeOx ENPs) has the potential to reform

NIAID Data Ecosystem30

Meta-Analysis of Nanoparticle Cytotoxicity via Data-Mining the Literature

纳米毒理学预测

纳米颗粒风险评估

Developing predictive modeling frameworks of potential cytotoxicity of engineered nanoparticles is critical for environmental and health risk analysis. The complexity and the heterogeneity of availabl

NIAID Data Ecosystem40

S2Nano_Based_14种金属氧化物纳米颗粒细胞毒性预测数据集

纳米毒理学预测

计算材料安全性评估

本数据集包含14种不同金属氧化物纳米颗粒的细胞毒性相关数据，涵盖15项理化、结构及实验相关描述符和62项原子尺度计算描述符，共494个数据点。数据经整理，用于构建并验证纳米颗粒细胞毒性的计算机模拟预测模型，为纳米材料安全性评估提供支持。 S2Nano数据库（原始数据出处：doi.org/10.1021/nn3010087；数据集相关论文：https://doi.org/10.3390/nano10

海数据30

New descriptors in toxicology prediction of nanomaterials: Using quasi-ab ini...

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