科研成果（论文、论著、专利）
论文：
(1) ProCAS: Multi-Lysine Post-Translational Modification Site Prediction Based on the SPUS Algorithm and the ProCAS Architecture，MOLECULAR & CELLULAR PROTEOMICS, 2026.
(2) MEGH-DDI: MolT5-Driven Edge-Aware Graph Learning with Hop2Token Representation for Drug–Drug Interaction Prediction，PLOS Computational Biology, 2026.
(3) Important Progress in Antimicrobial Peptide Prediction Research in the Past Five Years，ANALYTICAL BIOCHEMISTRY, 2026.
(4) ISUMsite: Identification of sumoylation sites based on Smote-ENN resampling technique，ANALYTICAL BIOCHEMISTRY, 2026.
(5) MVFAN-Kcr: A Multi-View Feature Fusion and Attention-Based Network for Lysine Crotonylation Site Identification，Interdisciplinary Sciences Computational Life Sciences, 2026.
(6) EnsemGlyPred: Intelligent Prediction System for Lysine Glycation Sites Integrating Deep Semantic Features and Sequence Information, ANALYTICAL BIOCHEMISTRY, 2026.
(7) Yun Zuo*, Chenyi Zhang, Ge Hua, Qiao Ning, Xiangrong Liu, Xiangxiang Zeng, Zhaohong Deng. FKSUDDAPre: A Drug–Disease Association Prediction Framework Based on F-TEST Feature Selection and AMDKSU Resampling with Interpretability Analysis，PLOS Computational Biology, 2026.
(8) XRepDDA: An Interpretable Drug-Disease Association Prediction Framework Leveraging Pretrained Chemical Language Models，Journal of Chemical Information and Modeling, 2026.
(9) ProtFPreDTI: Drug-Target Interaction Prediction Study and LIME Interpretability Analysis Based on ProtBERT Deep Language Model with Adaptive Fuzzy Sampling Strategy，BIOCONJUGATE CHEMISTRY,2026.
(10) EMMPREDMLsub: Multi-label Prediction of mRNA Subcellular Localization Based on the ESM2 Large Language Model and MMDO-MDPU Resampling Strategy, JOURNAL OF BIOMOLECULAR STRUCTURE & DYNAMICS. 2025.
(11)LM-TLIPs: Integrating Large Model and Transfer Learning Technology for Precise Identification of Phosphorylation Sites in SARS-CoV-2.IEEE Journal of Biomedical and Health Informatics,2025.
(12) MlyPredCSED: Based on Extreme Point Deviation Compensated Clustering combined with Cross-Scale Convolutional Neural Networks to predict multiple lysine sites in human. Briefings in Bioinformatics, 2025.
(13) MBSCLoc: Multi-label subcellular localization predict based on cluster balanced subspace partitioning method and multi-class contrastive representation learning.IEEE Journal of Biomedical and Health Informatics,2025.
(14) EnsembleSE: identification of super-enhancers basedon ensemble learning. Briefings in Functional Genomics, 2025, 24, elaf003.
(15) Research progress on Drug-Target Interactions in the last five years. Analytical Biochemistry 2024, 697:115691.
(16) MuSE: A deep learning model based on multi-feature fusion forsuper-enhancer prediction. Computational Biology & Chemistry, 2024, 113(000).
(17) PreMLS: The undersampling technique basedon ClusterCentroids to predict multiple lysinesites. PLOS Computational Biology, 2024, 20(10).
(18) NBCR-ac4C: A Deep Learning Framework Based on MultivariateBERT for Human mRNA N4-Acetylcytidine Sites Prediction.Journal of Chemical Information and Modeling, 2024, 64(20):8.
(19) MSlocPRED: deep transfer learning-based identificationof multi-label mRNA subcellular localization.Briefings in Bioinformatics, 2024, bbae504.
(20) ILYCROsite: Identiffcation of lysine crotonylation sites based on FCM-GRNN undersampling technique.Computational Biology and Chemistry,2024,113:108212.
(21) Glypred: Lysine Glycation Site Prediction viaCCU−LightGBM−BiLSTM Framework with Multi-Head AttentionMechanism. Journal of Chemical Information and Modeling，2024,64（16）：6699-6711.
(22) Research progress on prediction of RNA-protein binding sites in the past five years. Analytical Biochemistry, 691 (2024) , 115535.
(23) MINDG: a drug–target interaction prediction method basedon an integrated learning algorithm. Bioinformatics, 2024, 40(4), btae147.
(24)CarSitePred: anintegrated algorithm for identifying carbonylated sites based on KNDUALNDOT resampling technique.Journal of Biomolecular Structure and Dynamics, 2024.
(25) MLNGCF: circRNA–disease associations prediction withmultilayer attention neural graph-based collaborativefiltering. Bioinformatics, 2023.
(26) MLysPRED: Graph-based multi-view clustering and multi-dimensional normal distribution resampling techniques to predict multiple lysine sites. Briefings in Bioinformatics, 2022, 23(5): bbac277.
(27) CarSite-II: an integrated classification algorithm for identifying carbonylated sites based on K-means similarity-based undersampling and synthetic minority oversampling techniques. BMC Bioinformatics, 2021, 22(1).
(28) Pm6A: an Integrated Classification Algorithm for identifying m6A Sites. IEEE BIBM 2021, 235-240.
(29) 2lpiRNApred: A two-layered integrated algorithm for identifying piRNAs and their functions based on LFE-GM feature selection. RNA Biology, 2020,17(6): 892-902.
(30) A deep neural network for antimicrobial peptide recognition. IEEE BIBM 2019, 2019:82-85.
(31) Identification of Cancerlectins by Split Bi-profile Bayes Feature Extraction. Current Proteomics, 2018, 15(3).
(32) O-GlcNAcPRED-II: an integrated classification algorithm for identifying O-GlcNAcylation sites based on fuzzy undersampling and K-means PCA oversampling technique. Bioinformatics, 2018, 34(12): 2029-2036.
(33) S-SulfPred: A sensitive predictor to capture S-sulfenylation sites based on resampling one-sided selection undersampling-synthetic minority oversampling technique. Journal of Theoretical Biology, 422:84-89.
(34) Computional prediction of protein O-GlcNAc modification, Methods in molecular biology (Clifton, N.J.), 2018. (COMPUTATIONAL SYSTEMS BIOLOGY: METHODS AND PROTOCOLS，丛书: Methods in Molecular Biology，卷: 1754页: 235-246，出版年: 2018).
(35) CarSite: identify carbonylated sites of human proteins based on a one-sided selection resampling method. Molecular BioSystems, 2017, 13(11): 2362-2369.
专利:
（1）基于EPDCC技术识别多种赖氨酸修饰位点的方法，专利号：ZL 2024 1 1550944.6（已授权）
（2）基于LLM和RBMO的DTI预测方法,专利号：ZL 2025 1 1976691.3（已授权）
（3）基于多种分类算法集成学习的智能医疗欺诈监测方法，申请号：2024105857823
（4）基于深度迁移学习的多标签亚细胞定位预测方法，申请号：2024107520072
（5）基于ClusterCentroids欠采样技术预测多种赖氨酸修饰位点的方法，申请号：2024108533879
（6）基于平衡子空间和对比学习的多标签亚细胞定位方法，申请号：2024111421987
（7）基于大模型技术识别磷酸化修饰位点的方法，申请号：2024116964759
（8）基于实体知识驱动的语言模型对琥珀酰化位点的识别方法，申请号：2026100964955
