Jianmin Wang

According to our database, Jianmin Wang authored at least 17 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Geometry-Based Molecular Generation With Deep Constrained Variational Autoencoder.

Chunyan Li, Junfeng Yao, Wei Wei, Zhangming Niu, Xiangxiang Zeng, Jin Li, Jianmin Wang

IEEE Trans. Neural Networks Learn. Syst., April, 2024

MOASL: Predicting drug mechanism of actions through similarity learning with transcriptomic signature.

Likun Jiang, Susu Qu, Zhengqiu Yu, Jianmin Wang, Xiangrong Liu

Comput. Biol. Medicine, February, 2024

FraHMT: A Fragment-Oriented Heterogeneous Graph Molecular Generation Model for Target Proteins.

Shuang Wang, Dingming Liang, Jianmin Wang, Kaiyu Dong, Yunjing Zhang, Huicong Liang, Ximing Xu, Tao Song

J. Chem. Inf. Model., 2024

Transformer-Based Molecular Generative Model for Antiviral Drug Design.

Jiashun Mao, Jianmin Wang, Amir Zeb, Kwang-Hwi Cho, Haiyan Jin, Jongwan Kim, Onju Lee, Yunyun Wang, Kyoung Tai No

J. Chem. Inf. Model., 2024

Local Scaffold Diversity-Contributed Generator for Discovering Potential NLRP3 Inhibitors.

Weichen Bo, Yangqin Duan, Yurong Zou, Ziyan Ma, Tao Yang, Peng Wang, Tao Guo, Zhiyuan Fu, Jianmin Wang, Linchuan Fan, Jie liu, Taijin Wang, Lijuan Chen

J. Chem. Inf. Model., 2024

Instruction Multi-Constraint Molecular Generation Using a Teacher-Student Large Language Model.

Peng Zhou, Jianmin Wang, Chunyan Li, Zixu Wang, Yiping Liu, Siqi Sun, Jianxin Lin, Longyue Wang, Xiangxiang Zeng

CoRR, 2024

A bidirectional interpretable compound-protein interaction prediction framework based on cross attention.

Meng Wang, Jianmin Wang, Zhiwei Rong, Liuying Wang, Zhenyi Xu, Liuchao Zhang, Jia He, Shuang Li, Lei Cao, Yan Hou, Kang Li

Comput. Biol. Medicine, 2024

An Image-enhanced Molecular Graph Representation Learning Framework.

Hongxin Xiang, Shuting Jin, Jun Xia, Man Zhou, Jianmin Wang, Li Zeng, Xiangxiang Zeng

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

2023

A Multimodal Deep Learning Framework for Predicting PPI-Modulator Interactions.

Heqi Sun, Jianmin Wang, Hongyan Wu, Shenggeng Lin, Junwei Chen, Jinghua Wei, Shuai Lv, Yi Xiong, Dong-Qing Wei

J. Chem. Inf. Model., December, 2023

Deep generative model for drug design from protein target sequence.

Yangyang Chen, Zixu Wang, Lei Wang, Jianmin Wang, Pengyong Li, Dongsheng Cao, Xiangxiang Zeng, Xiucai Ye, Tetsuya Sakurai

J. Cheminformatics, December, 2023

2022

Accurate prediction of molecular properties and drug targets using a self-supervised image representation learning framework.

Xiangxiang Zeng, Hongxin Xiang, Linhui Yu, Jianmin Wang, Kenli Li, Ruth Nussinov, Feixiong Cheng

Nat. Mac. Intell., November, 2022

A transformer-based model to predict peptide-HLA class I binding and optimize mutated peptides for vaccine design.

Yanyi Chu, Yan Zhang, Qiankun Wang, Lingfeng Zhang, Xuhong Wang, Yanjing Wang, Dennis Russell Salahub, Qin Xu, Jianmin Wang, Xue Jiang, Yi Xiong, Dong-Qing Wei

Nat. Mach. Intell., 2022

Molormer: a lightweight self-attention-based method focused on spatial structure of molecular graph for drug-drug interactions prediction.

Xudong Zhang, Gan Wang, Xiangyu Meng, Shuang Wang, Ying Zhang, Alfonso Rodríguez-Patón, Jianmin Wang, Xun Wang

Briefings Bioinform., 2022

<i>De novo</i> molecular design with deep molecular generative models for PPI inhibitors.

Jianmin Wang, Yanyi Chu, Jiashun Mao, Hyeon-Nae Jeon, Haiyan Jin, Amir Zeb, Yuil Jang, Kwang-Hwi Cho, Tao Song, Kyoung Tai No

Briefings Bioinform., 2022

2021

MUFFIN: multi-scale feature fusion for drug-drug interaction prediction.

Yujie Chen, Tengfei Ma, Xixi Yang, Jianmin Wang, Bosheng Song, Xiangxiang Zeng

Bioinform., 2021

A spatial-temporal gated attention module for molecular property prediction based on molecular geometry.

Chunyan Li, Jianmin Wang, Zhangming Niu, Junfeng Yao, Xiangxiang Zeng

Briefings Bioinform., 2021

2020

VGG16-T: A Novel Deep Convolutional Neural Network with Boosting to Identify Pathological Type of Lung Cancer in Early Stage by CT Images.

Shanchen Pang, Fan Meng, Xun Wang, Jianmin Wang, Tao Song, Xingguang Wang, Xiaochun Cheng

Int. J. Comput. Intell. Syst., 2020