Feature importance analysis in guide strand identification of microRNAs. - Daichuan Ma; Jiamin Xiao; Yizhou Li; Yuanbo Diao; Yanzhi Guo; Menglong Li (Comput. Biol. Chem., 2011)

Predicting deleterious non-synonymous single nucleotide polymorphisms in signal peptides based on hybrid sequence attributes. - Wenli Qin; Yizhou Li; Juan Li; Lezheng Yu; Di Wu; Runyu Jing; Xuemei Pu; Yanzhi Guo; Menglong Li (Comput. Biol. Chem., 2012)

Using ensemble methods to deal with imbalanced data in predicting protein-protein interactions. - Yongqing Zhang; Danling Zhang; Gang Mi; Daichuan Ma; Gongbing Li; Yanzhi Guo; Menglong Li; Min Zhu (Comput. Biol. Chem., 2012)

Prediction of flavin mono-nucleotide binding sites using modified PSSM profile and ensemble support vector machine. - Xia Wang; Gang Mi; Cuicui Wang; Yongqing Zhang; Juan Li; Yanzhi Guo; Xuemei Pu; Menglong Li (Comput. Biol. Medicine, 2012)

In silico identification of Gram-negative bacterial secreted proteins from primary sequence. - Lezheng Yu; Jiesi Luo; Yanzhi Guo; Yizhou Li; Xuemei Pu; Menglong Li (Comput. Biol. Medicine, 2013)

A functional feature analysis on diverse protein-protein interactions: application for the prediction of binding affinity. - Jiesi Luo; Yanzhi Guo; Yun Zhong; Duo Ma; Wenling Li; Menglong Li (J. Comput. Aided Mol. Des., 2014)

Exploring the relationship between hub proteins and drug targets based on GO and intrinsic disorder. - Yuanyuan Fu; Yanzhi Guo; Yuelong Wang; Jiesi Luo; Xuemei Pu; Menglong Li; Zhihang Zhang (Comput. Biol. Chem., 2015)

A comparative study of family-specific protein-ligand complex affinity prediction based on random forest approach. - Yu Wang; Yanzhi Guo; Qifan Kuang; Xuemei Pu; Yue Ji; Zhihang Zhang; Menglong Li (J. Comput. Aided Mol. Des., 2015)

Effective prediction of bacterial type IV secreted effectors by combined features of both C-termini and N-termini. - Yu Wang; Yanzhi Guo; Xuemei Pu; Menglong Li (J. Comput. Aided Mol. Des., 2017)

Individually double minimum-distance definition of protein-RNA binding residues and application to structure-based prediction. - Wen Hu; Liu Qin; Menglong Li; Xuemei Pu; Yanzhi Guo (J. Comput. Aided Mol. Des., 2018)

Molecular Mechanism Regarding Allosteric Modulation of Ligand Binding and the Impact of Mutations on Dimerization for CCR5 Homodimer. - Fuhui Zhang; Yuan Yuan; Minghui Xiang; Yanzhi Guo; Menglong Li; Yijing Liu; Xuemei Pu (J. Chem. Inf. Model., 2019)

The landscape of miRNA-related ceRNA networks for marking different renal cell carcinoma subtypes. - Liu Qin; Yanhong Liu; Menglong Li; Xuemei Pu; Yanzhi Guo (Briefings Bioinform., 2020)

Biased Activation Mechanism Induced by GPCR Heterodimerization: Observations from μOR/δOR Dimers. - Xin Chen 081; Yuan Yuan; Yichi Chen; Jin Yu 004; Jingzhou Wang; Jianfang Chen; Yanzhi Guo; Xuemei Pu (J. Chem. Inf. Model., 2022)

An Interpretable Convolutional Neural Network Framework for Analyzing Molecular Dynamics Trajectories: a Case Study on Functional States for G-Protein-Coupled Receptors. - Chuan Li 002; Jiangting Liu; Jianfang Chen; Yuan Yuan; Jin Yu 004; Qiaolin Gou; Yanzhi Guo; Xuemei Pu (J. Chem. Inf. Model., 2022)

Correlated RNN Framework to Quickly Generate Molecules with Desired Properties for Energetic Materials in the Low Data Regime. - Chuan Li 002; Chenghui Wang; Ming Sun; Yan Zeng; Yuan Yuan; Qiaolin Gou; Guangchuan Wang; Yanzhi Guo; Xuemei Pu (J. Chem. Inf. Model., 2022)

Probing Allosteric Regulation Mechanism of W7.35 on Agonist-Induced Activity for μOR by Mutation Simulation. - Fuhui Zhang; Xin Chen 081; Jianfang Chen; Yanjiani Xu; Shiqi Li; Yanzhi Guo; Xuemei Pu (J. Chem. Inf. Model., 2022)

General Graph Neural Network-Based Model To Accurately Predict Cocrystal Density and Insight from Data Quality and Feature Representation. - Jiali Guo; Ming Sun; Xueyan Zhao; Chaojie Shi; Haoming Su; Yanzhi Guo; Xuemei Pu (J. Chem. Inf. Model., 2023)

Multi-omics integration analysis of GPCRs in pan-cancer to uncover inter-omics relationships and potential driver genes. - Shiqi Li; Xin Chen 081; Jianfang Chen; Binjian Wu; Jing Liu; Yanzhi Guo; Menglong Li; Xuemei Pu (Comput. Biol. Medicine, 2023)

Attention Mechanism-Based Graph Neural Network Model for Effective Activity Prediction of SARS-CoV-2 Main Protease Inhibitors: Application to Drug Repurposing as Potential COVID-19 Therapy. - Yanling Wu; Kun Li; Menglong Li; Xuemei Pu; Yanzhi Guo (J. Chem. Inf. Model., 2023)

Computational insights into diverse binding modes of the allosteric modulator and their regulation on dopamine D1 receptor. - Jianfang Chen; Yuanpeng Song; Luhan Ma; Yizhou Jin; Jin Yu 004; Yanzhi Guo; Yan Huang; Xuemei Pu (Comput. Biol. Medicine, 2024)

HOPEXGB: A Consensual Model for Predicting miRNA/lncRNA-Disease Associations Using a Heterogeneous Disease-miRNA-lncRNA Information Network. - Jian He; Menglong Li; Jiangguo Qiu; Xuemei Pu; Yanzhi Guo (J. Chem. Inf. Model., 2024)