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药物研究的计算模型。

Computational model for drug research.

机构信息

School of Science, Jiangnan University, Wuxi, 214122, China.

The Future Laboratory, Tsinghua University, Beijing, 100084, China.

出版信息

Brief Bioinform. 2024 Mar 27;25(3). doi: 10.1093/bib/bbae158.

Abstract

This special issue focuses on computational model for drug research regarding drug bioactivity prediction, drug-related interaction prediction, modelling for immunotherapy and modelling for treatment of a specific disease, as conveyed by the following six research and four review articles. Notably, these 10 papers described a wide variety of in-depth drug research from the computational perspective and may represent a snapshot of the wide research landscape.

摘要

本期特刊重点关注药物研究的计算模型,包括药物生物活性预测、药物相关相互作用预测、免疫治疗建模和特定疾病治疗建模,由以下六篇研究论文和四篇综述文章体现。值得注意的是,这 10 篇论文从计算角度描述了广泛的深入药物研究,可能代表了广泛研究领域的一个快照。

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引用本文的文献

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MVSGDR: multi-view stacked graph convolutional network for drug repositioning.
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本文引用的文献

1
Multimodal biomedical AI.
Nat Med. 2022 Sep;28(9):1773-1784. doi: 10.1038/s41591-022-01981-2. Epub 2022 Sep 15.
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Network approaches for modeling the effect of drugs and diseases.
Brief Bioinform. 2022 Jul 18;23(4). doi: 10.1093/bib/bbac229.
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Biological activities of drug inactive ingredients.
Brief Bioinform. 2022 Sep 20;23(5). doi: 10.1093/bib/bbac160.
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Directed graph attention networks for predicting asymmetric drug-drug interactions.
Brief Bioinform. 2022 May 13;23(3). doi: 10.1093/bib/bbac151.

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