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Pengyong Li
Pengyong Li
在 xidian.edu.cn 的电子邮件经过验证
标题
引用次数
引用次数
年份
An effective self-supervised framework for learning expressive molecular global representations to drug discovery
P Li, J Wang, Y Qiao, H Chen, Y Yu, X Yao, P Gao, G Xie, S Song
Briefings in Bioinformatics 22 (6), bbab109, 2021
129*2021
Deep geometric representations for modeling effects of mutations on protein-protein binding affinity
X Liu, Y Luo, P Li, S Song, J Peng
PLoS computational biology 17 (8), e1009284, 2021
802021
In Situ Growth of a Cationic Polymer from the N-Terminus of Glucose Oxidase To Regulate H2O2 Generation for Cancer Starvation and H2O2 Therapy
H Hao, M Sun, P Li, J Sun, X Liu, W Gao
ACS Applied Materials & Interfaces 11 (10), 9756-9762, 2019
692019
TrimNet: learning molecular representation from triplet messages for biomedicine
P Li, Y Li, CY Hsieh, S Zhang, X Liu, H Liu, S Song, X Yao
Briefings in Bioinformatics 22 (4), bbaa266, 2021
642021
Site-selective in situ growth-induced self-assembly of protein–polymer conjugates into pH-responsive micelles for tumor microenvironment triggered fluorescence imaging
P Li, M Sun, Z Xu, X Liu, W Zhao, W Gao
Biomacromolecules 19 (11), 4472-4479, 2018
522018
Deep generative model for drug design from protein target sequence
Y Chen, Z Wang, L Wang, J Wang, P Li, D Cao, X Zeng, X Ye, T Sakurai
Journal of Cheminformatics 15 (1), 38, 2023
342023
An adaptive graph learning method for automated molecular interactions and properties predictions
XY Yuquan Li, Chang-Yu Hsieh, Ruiqiang Lu, Xiaoqing Gong, Xiaorui Wang ...
Nature Machine Intelligence 4 (7), 645-651, 2022
282022
Introducing block design in graph neural networks for molecular properties prediction
Y Li, P Li, X Yang, CY Hsieh, S Zhang, X Wang, R Lu, H Liu, X Yao
Chemical Engineering Journal 414, 128817, 2021
252021
Simulated annealing for optimization of graphs and sequences
X Liu, P Li, F Meng, H Zhou, H Zhong, J Zhou, L Mou, S Song
Neurocomputing 465, 310-324, 2021
182021
Pairwise half-graph discrimination: A simple graph-level self-supervised strategy for pre-training graph neural networks
P Li, J Wang, Z Li, Y Qiao, X Liu, F Ma, P Gao, S Song, G Xie
arXiv preprint arXiv:2110.13567, 2021
182021
Molecular language models: RNNs or transformer?
Y Chen, Z Wang, X Zeng, Y Li, P Li, X Ye, T Sakurai
Briefings in Functional Genomics 22 (4), 392-400, 2023
102023
Improving drug-target affinity prediction via feature fusion and knowledge distillation
R Lu, J Wang, P Li, Y Li, S Tan, Y Pan, H Liu, P Gao, G Xie, X Yao
Briefings in Bioinformatics 24 (3), bbad145, 2023
82023
Decomposing Retrosynthesis into Reactive Center Prediction and Molecule Generation
X Liu, P Li, S Song
bioRxiv, 677849, 2019
52019
PASH at TREC 2020 Deep Learning Track: Dense Matching for Nested Ranking.
Y Qiao, H Chen, L Cao, L Chen, P Li, J Wang, P Gao, Y Ni, G Xie
TREC, 2020
42020
Development, validation, and evaluation of a deep learning model to screen cyclin-dependent kinase 12 inhibitors in cancers
T Wen, J Wang, R Lu, S Tan, P Li, X Yao, H Liu, Z Yi, L Li, S Liu, P Gao, ...
European Journal of Medicinal Chemistry 250, 115199, 2023
32023
Decomposing retrosynthesis into reactive center prediction and molecule generation. bioRxiv
XG Liu, P Li, S Song
22019
Improving drug response prediction via integrating gene relationships with deep learning
P Li, Z Jiang, T Liu, X Liu, H Qiao, X Yao
Briefings in Bioinformatics 25 (3), bbae153, 2024
12024
Hcl: Improving graph representation with hierarchical contrastive learning
J Wang, W Li, C Hou, X Tang, Y Qiao, R Fang, P Li, P Gao, G Xie
International Semantic Web Conference, 108-124, 2022
12022
CandidateDrug4Cancer: An open molecular graph learning benchmark on drug discovery for cancer
X Ye, Z Li, F Ma, Z Yi, P Li, J Wang, P Gao, Y Qiao, G Xie
arXiv preprint arXiv:2203.00836, 2022
12022
In Situ Growth of a Cationic Polymer from the N-Terminus of Glucose Oxidase To Regulate H₂O₂ Generation for Cancer Starvation and H₂O₂ Therapy
H Hao, M Sun, P Li, J Sun, X Liu, W Gao
2019
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