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Updated: May 5, 2026

A High-throughput Assay for the Prediction of Chemical Toxicity by Automated Phenotypic Profiling of Caenorhabditis elegans
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A High-throughput Assay for the Prediction of Chemical Toxicity by Automated Phenotypic Profiling of Caenorhabditis elegans

Published on: March 14, 2019

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宿命毒素:碎片注意力转换器用于E(3) 等价的多器官毒性预测

Sumin Ha1, Dongmin Bang2,3, Sun Kim4,5,6,7

  • 1Interdisciplinary Program in Artificial Intelligence, Seoul National University, Seoul, 08826, Republic of Korea.

Journal of cheminformatics
|May 14, 2025
PubMed
概括

预测多器官毒性对于药物开发至关重要. 新型深度学习框架FATE-Tox通过分析多种分子结构并提供可解释的结果来准确识别潜在的有毒化合物,从而提高药物安全性.

关键词:
图表神经网络的神经网络多任务学习多任务学习毒性预测 毒性预测变压器变压器变压器

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