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2020 – today
- 2024
[j14]Ding Wang, Junru Jin
, Zhongshen Li, Yu Wang, Mushuang Fan, Sirui Liang, Ran Su, Leyi Wei:
StructuralDPPIV: a novel deep learning model based on atom structure for predicting dipeptidyl peptidase-IV inhibitory peptides. Bioinform. 40(2) (2024)- [j13]Jianbo Qiao, Junru Jin, Haoqing Yu, Leyi Wei:
Towards retraining-free RNA modification prediction with incremental learning. Inf. Sci. 660: 120105 (2024) - [j12]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) - [j11]Yanxi Zhao, Junru Jin, Wenjia Gao, Jianbo Qiao, Leyi Wei:
Moss-m7G: A Motif-Based Interpretable Deep Learning Method for RNA N7-Methlguanosine Site Prediction. J. Chem. Inf. Model. 64(15): 6230-6240 (2024) - 2023
- [j10]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:
SiameseCPP: a sequence-based Siamese network to predict cell-penetrating peptides by contrastive learning. Briefings Bioinform. 24(1) (2023) - [j9]Zhongshen Li, Junru Jin, Wenjia He, Wentao Long, Haoqing Yu, Xin Gao, Kenta Nakai, Quan Zou, Leyi Wei:
CoraL: interpretable contrastive meta-learning for the prediction of cancer-associated ncRNA-encoded small peptides. Briefings Bioinform. 24(6) (2023) - [j8]Zhongshen Li, Junru Jin, Yu Wang, Wentao Long, Yuanhao Ding, Haiyan Hu, Leyi Wei:
ExamPle: explainable deep learning framework for the prediction of plant small secreted peptides. Bioinform. 39(3) (2023) - [j7]Jiayue Hu, Yu Wang, Chao Pang, Junru Jin, Nhat Truong Pham, Balachandran Manavalan, Leyi Wei:
DrugormerDTI: Drug Graphormer for drug-target interaction prediction. Comput. Biol. Medicine 161: 106946 (2023) - [j6]Sirui Liang, Yanxi Zhao, Junru Jin, Jianbo Qiao, Ding Wang, Yu Wang, Leyi Wei:
Rm-LR: A long-range-based deep learning model for predicting multiple types of RNA modifications. Comput. Biol. Medicine 164: 107238 (2023) - [j5]Zhongshen Li, Junru Jin, Wentao Long, Leyi Wei:
PLPMpro: Enhancing promoter sequence prediction with prompt-learning based pre-trained language model. Comput. Biol. Medicine 164: 107260 (2023) - [j4]Yu Wang, Jingjie Zhang, Junru Jin, Leyi Wei:
MolCAP: Molecular Chemical reActivity Pretraining and prompted-finetuning enhanced molecular representation learning. Comput. Biol. Medicine 167: 107666 (2023) - [i2]Yu Wang, Jingjie Zhang, Junru Jin, Leyi Wei:
MolCAP: Molecular Chemical reActivity pretraining and prompted-finetuning enhanced molecular representation learning. CoRR abs/2306.09187 (2023) - 2022
- [j3]Wenjia He, Yi Jiang, Junru Jin, Zhongshen Li, Jiaojiao Zhao, Balachandran Manavalan, Ran Su, Xin Gao, Leyi Wei:
Accelerating bioactive peptide discovery via mutual information-based meta-learning. Briefings Bioinform. 23(1) (2022) - [j2]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]Yu Wang, Chao Pang, Yuzhe Wang, Yi Jiang, Junru Jin, Sirui Liang, Quan Zou, Leyi Wei:
MechRetro is a chemical-mechanism-driven graph learning framework for interpretable retrosynthesis prediction and pathway planning. CoRR abs/2210.02630 (2022) - 2021
- [j1]Yingying Yu, Wenjia He, Junru Jin, Guobao Xiao, Lizhen Cui, Rao Zeng, Leyi Wei:
iDNA-ABT: advanced deep learning model for detecting DNA methylation with adaptive features and transductive information maximization. Bioinform. 37(24): 4603-4610 (2021)
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