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2020 – today
- 2024
[j8]Chenglin Yin, Ruheng Wang
, Jianbo Qiao, Hua Shi, Hongliang Duan, Xinbo Jiang, Saisai Teng, Leyi Wei:
NanoCon: contrastive learning-based deep hybrid network for nanopore methylation detection. Bioinform. 40(2) (2024)- [j7]Wen-Yu Xi, Ruheng Wang, Li Wang, Xiucai Ye, Mingyang Liu, Tetsuya Sakurai:
An interpretable deep learning model predicts RNA-small molecule binding sites. Future Gener. Comput. Syst. 159: 557-566 (2024) - [j6]Haoqing Yu, Ruheng Wang, Jianbo Qiao, Leyi Wei:
Multi-CGAN: Deep Generative Model-Based Multiproperty Antimicrobial Peptide Design. J. Chem. Inf. Model. 64(1): 316-326 (2024) - [j5]Jiashuo Zhang, Ruheng Wang, Leyi Wei:
MucLiPred: Multi-Level Contrastive Learning for Predicting Nucleic Acid Binding Residues of Proteins. J. Chem. Inf. Model. 64(3): 1050-1065 (2024) - [j4]Xuetong Yang, Junru Jin, Ruheng Wang, Zhongshen Li, Yu Wang, Leyi Wei:
CACPP: A Contrastive Learning-Based Siamese Network to Identify Anticancer Peptides Based on Sequence Only. J. Chem. Inf. Model. 64(7): 2807-2816 (2024) - [j3]Tianshuo Wang, Ruheng Wang, Leyi Wei:
AttenSyn: An Attention-Based Deep Graph Neural Network for Anticancer Synergistic Drug Combination Prediction. J. Chem. Inf. Model. 64(7): 2854-2862 (2024) - 2023
- [j2]Qingxin Wei, Ruheng Wang, Yi Jiang, Leyi Wei, Yu Sun, Jie Geng, Ran Su:
ConPep: Prediction of peptide contact maps with pre-trained biological language model and multi-view feature extracting strategy. Comput. Biol. Medicine 167: 107631 (2023) - 2022
- [j1]Ruheng Wang, Junru Jin, Quan Zou, Kenta Nakai, Leyi Wei:
Predicting protein-peptide binding residues via interpretable deep learning. Bioinform. 38(13): 3351-3360 (2022) - [i1]Chao Pang, Yu Wang, Yi Jiang, Ruheng Wang, Ran Su, Leyi Wei:
Multi-view deep learning based molecule design and structural optimization accelerates the SARS-CoV-2 inhibitor discovery. CoRR abs/2212.01575 (2022)
Coauthor Index
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