Junru Jin

According to our database, Junru Jin authored at least 14 papers between 2021 and 2024.

Collaborative distances:

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

2024

Towards retraining-free RNA modification prediction with incremental learning.

Jianbo Qiao, Junru Jin, Haoqing Yu, Leyi Wei

Inf. Sci., March, 2024

StructuralDPPIV: a novel deep learning model based on atom structure for predicting dipeptidyl peptidase-IV inhibitory peptides.

Ding Wang, Junru Jin, Zhongshen Li, Yu Wang, Mushuang Fan, Sirui Liang, Ran Su, Leyi Wei

Bioinform., February, 2024

Moss-m7G: A Motif-Based Interpretable Deep Learning Method for RNA N7-Methlguanosine Site Prediction.

Yanxi Zhao, Junru Jin, Wenjia Gao, Jianbo Qiao, 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

2023

MolCAP: Molecular Chemical reActivity Pretraining and prompted-finetuning enhanced molecular representation learning.

Yu Wang, Jingjie Zhang, Junru Jin, Leyi Wei

Comput. Biol. Medicine, December, 2023

Rm-LR: A long-range-based deep learning model for predicting multiple types of RNA modifications.

Sirui Liang, Yanxi Zhao, Junru Jin, Jianbo Qiao, Ding Wang, Yu Wang, Leyi Wei

Comput. Biol. Medicine, September, 2023

PLPMpro: Enhancing promoter sequence prediction with prompt-learning based pre-trained language model.

Zhongshen Li, Junru Jin, Wentao Long, Leyi Wei

Comput. Biol. Medicine, September, 2023

DrugormerDTI: Drug Graphormer for drug-target interaction prediction.

Jiayue Hu, Yu Wang, Chao Pang, Junru Jin, Nhat Truong Pham, Balachandran Manavalan, Leyi Wei

Comput. Biol. Medicine, July, 2023

ExamPle: explainable deep learning framework for the prediction of plant small secreted peptides.

Zhongshen Li, Junru Jin, Yu Wang, Wentao Long, Yuanhao Ding, Haiyan Hu, Leyi Wei

Bioinform., March, 2023

SiameseCPP: a sequence-based Siamese network to predict cell-penetrating peptides by contrastive learning.

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

Briefings Bioinform., January, 2023

2022

MechRetro is a chemical-mechanism-driven graph learning framework for interpretable retrosynthesis prediction and pathway planning.

Yu Wang, Chao Pang, Yuzhe Wang, Yi Jiang, Junru Jin, Sirui Liang, Quan Zou, 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

Accelerating bioactive peptide discovery via mutual information-based meta-learning.

Wenjia He, Yi Jiang, Junru Jin, Zhongshen Li, Jiaojiao Zhao, Balachandran Manavalan, Ran Su, Xin Gao, Leyi Wei

Briefings Bioinform., 2022

2021

iDNA-ABT: advanced deep learning model for detecting DNA methylation with adaptive features and transductive information maximization.

Yingying Yu, Wenjia He, Junru Jin, Guobao Xiao, Lizhen Cui, Rao Zeng, Leyi Wei

Bioinform., 2021