Junru Jin

19 papers Journal 19
YearRankTypeTitle / Venue / Authors
2025 J jnl
MCAMEF-BERT: an efficient deep learning method for RNA N7-methylguanosine site prediction via multi-branch feature integration.
Briefings Bioinform.
Junlei Yu, Wenjia Gao, Siqi Chen, Ronglin Lu, Jianbo Qiao, Junru Jin, Leyi Wei, Hua Shi, Zilong Zhang, Feifei Cui, Xinbo Jiang, Zhongmin Yan
2025 J jnl
Molecular pretraining models towards molecular property prediction.
Sci. China Inf. Sci.
Jianbo Qiao, Wenjia Gao, Junru Jin, Ding Wang, Xu Guo, Balachandran Manavalan, Leyi Wei
2025 J jnl
Taco-DDI: accurate prediction of drug-drug interaction events using graph transformer-based architecture and dynamic co-attention matrices.
Neural Networks
Jianbo Qiao, Xu Guo, Junru Jin, Ding Wang, Kefei Li, Wenjia Gao, Feifei Cui, Zilong Zhang, Hua Shi, Leyi Wei
2024 J jnl
CACPP: A Contrastive Learning-Based Siamese Network to Identify Anticancer Peptides Based on Sequence Only.
J. Chem. Inf. Model.
Xuetong Yang, Junru Jin, Ruheng Wang, Zhongshen Li, Yu Wang, Leyi Wei
2024 J jnl
Moss-m7G: A Motif-Based Interpretable Deep Learning Method for RNA N7-Methlguanosine Site Prediction.
J. Chem. Inf. Model.
Yanxi Zhao, Junru Jin, Wenjia Gao, Jianbo Qiao, Leyi Wei
2024 J jnl
StructuralDPPIV: a novel deep learning model based on atom structure for predicting dipeptidyl peptidase-IV inhibitory peptides.
Bioinform.
Ding Wang, Junru Jin, Zhongshen Li, Yu Wang, Mushuang Fan, Sirui Liang, Ran Su, Leyi Wei
2024 J jnl
Towards retraining-free RNA modification prediction with incremental learning.
Inf. Sci.
Jianbo Qiao, Junru Jin, Haoqing Yu, Leyi Wei
2023 J jnl
CoraL: interpretable contrastive meta-learning for the prediction of cancer-associated ncRNA-encoded small peptides.
Briefings Bioinform.
Zhongshen Li, Junru Jin, Wenjia He, Wentao Long, Haoqing Yu, Xin Gao, Kenta Nakai, Quan Zou, Leyi Wei
2023 J jnl
DrugormerDTI: Drug Graphormer for drug-target interaction prediction.
Comput. Biol. Medicine
Jiayue Hu, Yu Wang, Chao Pang, Junru Jin, Nhat Truong Pham, Balachandran Manavalan, Leyi Wei
2023 J jnl
ExamPle: explainable deep learning framework for the prediction of plant small secreted peptides.
Bioinform.
Zhongshen Li, Junru Jin, Yu Wang, Wentao Long, Yuanhao Ding, Haiyan Hu, Leyi Wei
2023 J jnl
MolCAP: Molecular Chemical reActivity Pretraining and prompted-finetuning enhanced molecular representation learning.
Comput. Biol. Medicine
Yu Wang, Jingjie Zhang, Junru Jin, Leyi Wei
2023 J jnl
MolCAP: Molecular Chemical reActivity pretraining and prompted-finetuning enhanced molecular representation learning.
CoRR
Yu Wang, Jingjie Zhang, Junru Jin, Leyi Wei
2023 J jnl
PLPMpro: Enhancing promoter sequence prediction with prompt-learning based pre-trained language model.
Comput. Biol. Medicine
Zhongshen Li, Junru Jin, Wentao Long, Leyi Wei
2023 J jnl
Rm-LR: A long-range-based deep learning model for predicting multiple types of RNA modifications.
Comput. Biol. Medicine
Sirui Liang, Yanxi Zhao, Junru Jin, Jianbo Qiao, Ding Wang, Yu Wang, Leyi Wei
2023 J jnl
SiameseCPP: a sequence-based Siamese network to predict cell-penetrating peptides by contrastive learning.
Briefings Bioinform.
Xin Zhang, Lesong Wei, Xiucai Ye, Kai Zhang, Saisai Teng, Zhongshen Li, Junru Jin, Min Jae Kim, Tetsuya Sakurai, Lizhen Cui, Balachandran Manavalan, Leyi Wei
2022 J jnl
Accelerating bioactive peptide discovery via mutual information-based meta-learning.
Briefings Bioinform.
Wenjia He, Yi Jiang, Junru Jin, Zhongshen Li, Jiaojiao Zhao, Balachandran Manavalan, Ran Su, Xin Gao, Leyi Wei
2022 J jnl
MechRetro is a chemical-mechanism-driven graph learning framework for interpretable retrosynthesis prediction and pathway planning.
CoRR
Yu Wang, Chao Pang, Yuzhe Wang, Yi Jiang, Junru Jin, Sirui Liang, Quan Zou, Leyi Wei
2022 J jnl
Predicting protein-peptide binding residues via interpretable deep learning.
Bioinform.
Ruheng Wang, Junru Jin, Quan Zou, Kenta Nakai, Leyi Wei
2021 J jnl
iDNA-ABT: advanced deep learning model for detecting DNA methylation with adaptive features and transductive information maximization.
Bioinform.
Yingying Yu, Wenjia He, Junru Jin, Guobao Xiao, Lizhen Cui, Rao Zeng, Leyi Wei