Search Results - "Li, Pengyong"

Deep geometric representations for modeling effects of mutations on protein-protein binding affinity by Liu, Xianggen, Luo, Yunan, Li, Pengyong, Song, Sen, Peng, Jian

“…Modeling the impact of amino acid mutations on protein-protein interaction plays a crucial role in protein engineering and drug design. In this study, we…”
Get full text

Introducing block design in graph neural networks for molecular properties prediction by Li, Yuquan, Li, Pengyong, Yang, Xing, Hsieh, Chang-Yu, Zhang, Shengyu, Wang, Xiaorui, Lu, Ruiqiang, Liu, Huanxiang, Yao, Xiaojun

“…•An algorithm named block-based graph neural network (BGNN) was proposed.•BGNN can reduce the impact of the network degradation problem.•BGNN can get lower MAE…”
Get full text

Deep generative model for drug design from protein target sequence by Chen, Yangyang, Wang, Zixu, Wang, Lei, Wang, Jianmin, Li, Pengyong, Cao, Dongsheng, Zeng, Xiangxiang, Ye, Xiucai, Sakurai, Tetsuya

“…Drug discovery for a protein target is a laborious and costly process. Deep learning (DL) methods have been applied to drug discovery and successfully…”
Get full text

Editorial: Crosstalk between lipid metabolism and ferroptosis in cardiovascular diseases by Liu, Yuliang, Guo, Yingying, Li, Pengyong, Guo, Haipeng, Xu, Man

Get full text

The effect of the cyclic GMP-AMP synthase-stimulator of interferon genes signaling pathway on organ inflammatory injury and fibrosis by Liu, Yuliang, Li, Yihui, Xue, Li, Xiao, Jie, Li, Pengyong, Xue, Wanlin, Li, Chen, Guo, Haipeng, Chen, Yuguo

“…The cyclic GMP-AMP synthase-stimulator of interferon genes signal transduction pathway is critical in innate immunity, infection, and inflammation. In response…”
Get full text

Extraction method of wide-band phased array radar signals based on pulse amplitude characteristic by Xianghao, Meng, Yongwang, An, Pengyong, Li

“…Wide-band phased array radar is the primary focus in electronic countermeasure reconnaissance, and prior extraction of such radar signals in the interleaved…”
Get full text

SFML: A personalized, efficient, and privacy-preserving collaborative traffic classification architecture based on split learning and mutual learning by Xia, Jiaqi, Wu, Meng, Li, Pengyong

“…Traffic classification is essential for network management and optimization, enhancing user experience, network performance, and security. However, evolving…”
Get full text

PT-ADP: A personalized privacy-preserving federated learning scheme based on transaction mechanism by Xia, Jiaqi, Li, Pengyong, Mao, Yiming, Wu, Meng

“…Differential privacy (DP) is a widely used technique for enhancing privacy in federated learning (FL) frameworks, whereby noise is added to the datasets or…”
Get full text

Secure architecture for Industrial Edge of Things(IEoT): A hierarchical perspective by Li, Pengyong, Xia, Jiaqi, Wang, Qian, Zhang, Yujie, Wu, Meng

“…The Industrial Internet of Things (IIoT) is an application of the IoT specifically tailored for industrial manufacturing, characterized by its heightened…”
Get full text

In Situ Growth of a Cationic Polymer from the N‑Terminus of Glucose Oxidase To Regulate H2O2 Generation for Cancer Starvation and H2O2 Therapy by Hao, Hanjun, Sun, Mengmeng, Li, Pengyong, Sun, Jiawei, Liu, Xinyu, Gao, Weiping

“…Hydrogen peroxide (H2O2)-generating enzymes (HGEs) are potentially useful for tumor therapy, but the potential is limited by the challenge in regulating H2O2…”
Get full text

In Situ Growth of a Cationic Polymer from the N-Terminus of Glucose Oxidase To Regulate H 2 O 2 Generation for Cancer Starvation and H 2 O 2 Therapy by Hao, Hanjun, Sun, Mengmeng, Li, Pengyong, Sun, Jiawei, Liu, Xinyu, Gao, Weiping

“…Hydrogen peroxide (H O )-generating enzymes (HGEs) are potentially useful for tumor therapy, but the potential is limited by the challenge in regulating H O…”
Get full text

An effective self-supervised framework for learning expressive molecular global representations to drug discovery by Li, Pengyong, Wang, Jun, Qiao, Yixuan, Chen, Hao, Yu, Yihuan, Yao, Xiaojun, Gao, Peng, Xie, Guotong, Song, Sen

“…How to produce expressive molecular representations is a fundamental challenge in artificial intelligence-driven drug discovery. Graph neural network (GNN) has…”
Get full text

Site-Selective in Situ Growth-Induced Self-Assembly of Protein–Polymer Conjugates into pH-Responsive Micelles for Tumor Microenvironment Triggered Fluorescence Imaging by Li, Pengyong, Sun, Mengmeng, Xu, Zhikun, Liu, Xinyu, Zhao, Wenguo, Gao, Weiping

“…Self-assembly of site-selective protein–polymer conjugates into stimuli-responsive micelles is interesting owing to their potential biomedical applications,…”
Get full text

Simulated annealing for optimization of graphs and sequences by Liu, Xianggen, Li, Pengyong, Meng, Fandong, Zhou, Hao, Zhong, Huasong, Zhou, Jie, Mou, Lili, Song, Sen

“…[Display omitted] Optimization of discrete structures aims at generating a new structure with the better property given an existing one, which is a fundamental…”
Get full text

TrimNet: learning molecular representation from triplet messages for biomedicine by Li, Pengyong, Li, Yuquan, Hsieh, Chang-Yu, Zhang, Shengyu, Liu, Xianggen, Liu, Huanxiang, Song, Sen, Yao, Xiaojun

“…Abstract Motivation Computational methods accelerate drug discovery and play an important role in biomedicine, such as molecular property prediction and…”
Get full text

Improving drug response prediction via integrating gene relationships with deep learning by Li, Pengyong, Jiang, Zhengxiang, Liu, Tianxiao, Liu, Xinyu, Qiao, Hui, Yao, Xiaojun

“…Abstract Predicting the drug response of cancer cell lines is crucial for advancing personalized cancer treatment, yet remains challenging due to tumor…”
Get full text

Molecular language models: RNNs or transformer? by Chen, Yangyang, Wang, Zixu, Zeng, Xiangxiang, Li, Yayang, Li, Pengyong, Ye, Xiucai, Sakurai, Tetsuya

“…Abstract Language models have shown the capacity to learn complex molecular distributions. In the field of molecular generation, they are designed to explore…”
Get full text

Improving drug-target affinity prediction via feature fusion and knowledge distillation by Lu, Ruiqiang, Wang, Jun, Li, Pengyong, Li, Yuquan, Tan, Shuoyan, Pan, Yiting, Liu, Huanxiang, Gao, Peng, Xie, Guotong, Yao, Xiaojun

“…Abstract Rapid and accurate prediction of drug-target affinity can accelerate and improve the drug discovery process. Recent studies show that deep learning…”
Get full text

MuLDOM: Forecasting Multivariate Anomalies on Edge Devices in IIoT Using Multibranch LSTM and Differential Overfitting Mitigation Model by Li, Pengyong, Wu, Meng, Zhang, Yujie, Xia, Jiaqi, Wang, Qian

“…In the industrial Internet of Things (IIoT) environment, there is a multitude of heterogeneous industrial edge devices (IEDs) from various sources. Real-time…”
Get full text

Development, validation, and evaluation of a deep learning model to screen cyclin-dependent kinase 12 inhibitors in cancers by Wen, Tingyu, Wang, Jun, Lu, Ruiqiang, Tan, Shuoyan, Li, Pengyong, Yao, Xiaojun, Liu, Huanxiang, Yi, Zongbi, Li, Lixi, Liu, Shuning, Gao, Peng, Qian, Haili, Xie, Guotong, Ma, Fei

“…Deep learning-based in silico alternatives have been demonstrated to be of significant importance in the acceleration of the drug discovery process and…”
Get full text