Ruheng Wang

According to our database, Ruheng Wang authored at least 9 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

NanoCon: contrastive learning-based deep hybrid network for nanopore methylation detection.

Chenglin Yin, Ruheng Wang, Jianbo Qiao, Hua Shi, Hongliang Duan, Xinbo Jiang, Saisai Teng, Leyi Wei

Bioinform., February, 2024

Multi-CGAN: Deep Generative Model-Based Multiproperty Antimicrobial Peptide Design.

Haoqing Yu, Ruheng Wang, Jianbo Qiao, Leyi Wei

J. Chem. Inf. Model., January, 2024

MucLiPred: Multi-Level Contrastive Learning for Predicting Nucleic Acid Binding Residues of Proteins.

Jiashuo Zhang, Ruheng Wang, Leyi Wei

J. Chem. Inf. Model., 2024

CACPP: A Contrastive Learning-Based Siamese Network to Identify Anticancer Peptides Based on Sequence Only.

Xuetong Yang, Junru Jin, Ruheng Wang, Zhongshen Li, Yu Wang, Leyi Wei

J. Chem. Inf. Model., 2024

AttenSyn: An Attention-Based Deep Graph Neural Network for Anticancer Synergistic Drug Combination Prediction.

Tianshuo Wang, Ruheng Wang, Leyi Wei

J. Chem. Inf. Model., 2024

An interpretable deep learning model predicts RNA-small molecule binding sites.

Wen-Yu Xi, Ruheng Wang, Li Wang, Xiucai Ye, Mingyang Liu, Tetsuya Sakurai

Future Gener. Comput. Syst., 2024

2023

ConPep: Prediction of peptide contact maps with pre-trained biological language model and multi-view feature extracting strategy.

Qingxin Wei, Ruheng Wang, Yi Jiang, Leyi Wei, Yu Sun, Jie Geng, Ran Su

Comput. Biol. Medicine, December, 2023

2022

Multi-view deep learning based molecule design and structural optimization accelerates the SARS-CoV-2 inhibitor discovery.

Chao Pang, Yu Wang, Yi Jiang, Ruheng Wang, Ran Su, Leyi Wei

CoRR, 2022

Predicting protein-peptide binding residues via interpretable deep learning.

Ruheng Wang, Junru Jin, Quan Zou, Kenta Nakai, Leyi Wei

Bioinform., 2022