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journal article·2025-10Open access

Construction of Sonosensitizer‐Drug Co‐Assembly Based on Deep Learning Method (Small 40/2025)

Kanqi Wang, Liuyin Yang, Xiaowei Lu, Mingtao Cheng, Xiran Gui, Qingmin Chen, Yilin Wang, Yang Zhao, Dong Li, Gang Liu

Small· Volume 21· Issue 40
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Source abstract

Abstract

Drug Co-Assemblies An artificial intelligence-based sonosensitizer-drug interaction model was proposed to construct co-assembled drugs, achieving 90.00% accuracy and 96.00% recall. Ablation experiments and gradient visualization analyzed the impact of atomic properties and molecular structures on predictions. Using this model, a nanomedicine composed of methotrexate and emodin was successfully constructed for liver cancer treatment guided by fluorescence imaging. More in article number 2502328, Yang Zhao, Dong Li, Gang Liu, and co-workers.
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Research context

Nanomaterials

OpenAlex topics: Innovative Microfluidic and Catalytic Techniques Innovation

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Affiliations

Institute of Artificial Intelligence Xiamen University Xiamen 361102 China

State Key Laboratory of Vaccines for Infectious Diseases Xiang An Biomedicine Laboratory National Innovation Platform for Industry‐Education Integration in Vaccine Research Fujian Engineering Research Center of Molecular Theranostic Technology Center for Molecular Imaging and Translational Medicine School of Public Health Xiamen University Xiamen 361102 China

College of Ocean Food and Biological Engineering Jimei University Xiamen 361021 China

Pen‐Tung Sah Institute of Micro‐Nano Science and Technology Xiamen University Xiamen 361005 China

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