MCN-CPI: Multiscale Convolutional Network for Compound–Protein Interaction Prediction by Shuang Wang, Mingjian Jiang, Shugang Zhang, Xiaofeng Wang, Qing Yuan, Zhiqiang Wei, Zhen Li

Subjects: “…compound–protein interaction…”
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PMF-CPI: assessing drug selectivity with a pretrained multi-functional model for compound–protein interactions by Nan Song, Ruihan Dong, Yuqian Pu, Ercheng Wang, Junhai Xu, Fei Guo

Subjects: “…Compound–protein interaction…”
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Multi-channel PINN: investigating scalable and transferable neural networks for drug discovery by Munhwan Lee, Hyeyeon Kim, Hyunwhan Joe, Hong-Gee Kim

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Identification of Targeted Proteins by Jamu Formulas for Different Efficacies Using Machine Learning Approach by Sony Hartono Wijaya, Farit Mochamad Afendi, Irmanida Batubara, Ming Huang, Naoaki Ono, Shigehiko Kanaya, Md. Altaf-Ul-Amin

Subjects: “…compound–protein interaction…”
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An overview of recent advances and challenges in predicting compound-protein interaction (CPI) by Li Yanbei, Fan Zhehuan, Rao Jingxin, Chen Zhiyi, Chu Qinyu, Zheng Mingyue, Li Xutong

Subjects: “…compound-protein interaction prediction…”
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Improved compound–protein interaction site and binding affinity prediction using self-supervised protein embeddings by Jialin Wu, Zhe Liu, Xiaofeng Yang, Zhanglin Lin

Subjects: “…Compound–protein interaction…”
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Extracting Explicable Rules for the Identification of Compound–Protein Interactions by Liucun Zhu, Pengfei Huang, Rui Zhu, Fangxia Guan, Wenna Guo

Subjects: “…Compound–protein interaction…”
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PreBINDS: An Interactive Web Tool to Create Appropriate Datasets for Predicting Compound–Protein Interactions by Kazuyoshi Ikeda, Kazuyoshi Ikeda, Takuo Doi, Masami Ikeda, Kentaro Tomii, Kentaro Tomii

Subjects: “…compound-protein interaction…”
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CAT-CPI: Combining CNN and transformer to learn compound image features for predicting compound-protein interactions by Ying Qian, Jian Wu, Qian Zhang

Subjects: “…compound-protein interaction…”
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Bioactive Compounds in Garlic (<i>Allium sativum</i>) and Black Garlic as Antigout Agents, Using Computer Simulation by Ayu Rahmania Lestari, Irmanida Batubara, Setyanto Tri Wahyudi, Auliya Ilmiawati, Suminar Setiati Achmadi

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Improving compound-protein interaction prediction by focusing on intra-modality and inter-modality dynamics with a multimodal tensor fusion strategy by Meng Wang, Jianmin Wang, Jianxin Ji, Chenjing Ma, Hesong Wang, Jia He, Yongzhen Song, Xuan Zhang, Yong Cao, Yanyan Dai, Menglei Hua, Ruihao Qin, Kang Li, Lei Cao

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Helix encoder: a compound-protein interaction prediction model specifically designed for class A GPCRs by Haruki Yamane, Takashi Ishida

Subjects: “…compound-protein interaction…”
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GcForest-based compound-protein interaction prediction model and its application in discovering small-molecule drugs targeting CD47 by Wenying Shan, Wenying Shan, Lvqi Chen, Hao Xu, Hao Xu, Qinghao Zhong, Yinqiu Xu, Hequan Yao, Kejiang Lin, Xuanyi Li

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A general prediction model for compound-protein interactions based on deep learning by Wei Ji, Wei Ji, Shengnan She, Chunxue Qiao, Qiuqi Feng, Mengjie Rui, Ximing Xu, Chunlai Feng

Subjects: “…compound-protein interaction…”
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Nanoencapsulation of Polyphenols towards Dairy Beverage Incorporation by Sara Silva, Mariana Veiga, Eduardo M. Costa, Ana L. S. Oliveira, Ana Raquel Madureira, Manuela Pintado

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An end-to-end method for predicting compound-protein interactions based on simplified homogeneous graph convolutional network and pre-trained language model by Yufang Zhang, Jiayi Li, Shenggeng Lin, Jianwei Zhao, Yi Xiong, Dong-Qing Wei

Subjects: “…Compound-protein interactions…”
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Bridging chemical structure and conceptual knowledge enables accurate prediction of compound-protein interaction by Wen Tao, Xuan Lin, Yuansheng Liu, Li Zeng, Tengfei Ma, Ning Cheng, Jing Jiang, Xiangxiang Zeng, Sisi Yuan

Subjects: “…Compound-protein interactions…”
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A Computational Systems Pharmacology Approach to Investigate Molecular Mechanisms of Herbal Formula Tian-Ma-Gou-Teng-Yin for Treatment of Alzheimer’s Disease by Tianduanyi Wang, Zengrui Wu, Lixia Sun, Weihua Li, Guixia Liu, Yun Tang

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