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2020 – today
- 2024
[j22]Jianfang Chen
, Yuanpeng Song, Luhan Ma, Yizhou Jin, Jin Yu, Yanzhi Guo, Yan Huang, Xuemei Pu:
Computational insights into diverse binding modes of the allosteric modulator and their regulation on dopamine D1 receptor. Comput. Biol. Medicine 173: 108283 (2024)- [j21]Jian He, Menglong Li, Jiangguo Qiu, Xuemei Pu, Yanzhi Guo:
HOPEXGB: A Consensual Model for Predicting miRNA/lncRNA-Disease Associations Using a Heterogeneous Disease-miRNA-lncRNA Information Network. J. Chem. Inf. Model. 64(7): 2863-2877 (2024) - 2023
- [j20]Shiqi Li, Xin Chen, Jianfang Chen, Binjian Wu, Jing Liu, Yanzhi Guo, Menglong Li, Xuemei Pu:
Multi-omics integration analysis of GPCRs in pan-cancer to uncover inter-omics relationships and potential driver genes. Comput. Biol. Medicine 161: 106988 (2023) - [j19]Jiali Guo, Ming Sun, Xueyan Zhao, Chaojie Shi, Haoming Su, Yanzhi Guo, Xuemei Pu:
General Graph Neural Network-Based Model To Accurately Predict Cocrystal Density and Insight from Data Quality and Feature Representation. J. Chem. Inf. Model. 63(4): 1143-1156 (2023) - [j18]Yanling Wu, Kun Li, Menglong Li, Xuemei Pu, Yanzhi Guo:
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. J. Chem. Inf. Model. 63(22): 7011-7031 (2023) - 2022
- [j17]Chuan Li, Jiangting Liu, Jianfang Chen, Yuan Yuan, Jin Yu, Qiaolin Gou, Yanzhi Guo, Xuemei Pu:
An Interpretable Convolutional Neural Network Framework for Analyzing Molecular Dynamics Trajectories: a Case Study on Functional States for G-Protein-Coupled Receptors. J. Chem. Inf. Model. 62(6): 1399-1410 (2022) - [j16]Chuan Li, Chenghui Wang, Ming Sun, Yan Zeng, Yuan Yuan, Qiaolin Gou, Guangchuan Wang, Yanzhi Guo, Xuemei Pu:
Correlated RNN Framework to Quickly Generate Molecules with Desired Properties for Energetic Materials in the Low Data Regime. J. Chem. Inf. Model. 62(20): 4873-4887 (2022) - [j15]Fuhui Zhang, Xin Chen, Jianfang Chen, Yanjiani Xu, Shiqi Li, Yanzhi Guo, Xuemei Pu:
Probing Allosteric Regulation Mechanism of W7.35 on Agonist-Induced Activity for μOR by Mutation Simulation. J. Chem. Inf. Model. 62(21): 5120-5135 (2022) - [j14]Jianfang Chen, Jiangting Liu, Yuan Yuan, Xin Chen, Fuhui Zhang, Xuemei Pu:
Molecular Mechanisms of Diverse Activation Stimulated by Different Biased Agonists for the β2-Adrenergic Receptor. J. Chem. Inf. Model. 62(21): 5175-5192 (2022) - [j13]Xin Chen, Yuan Yuan, Yichi Chen, Jin Yu, Jingzhou Wang, Jianfang Chen, Yanzhi Guo, Xuemei Pu:
Biased Activation Mechanism Induced by GPCR Heterodimerization: Observations from μOR/δOR Dimers. J. Chem. Inf. Model. 62(22): 5581-5600 (2022) - 2020
- [j12]Liu Qin, Yanhong Liu, Menglong Li, Xuemei Pu, Yanzhi Guo:
The landscape of miRNA-related ceRNA networks for marking different renal cell carcinoma subtypes. Briefings Bioinform. 21(1): 73-84 (2020) - [j11]Yiru Zhao, Yifan Zhou, Yuan Liu, Yinyi Hao, Menglong Li, Xuemei Pu, Chuan Li, Zhining Wen:
Uncovering the prognostic gene signatures for the improvement of risk stratification in cancers by using deep learning algorithm coupled with wavelet transform. BMC Bioinform. 21(1): 195 (2020) - [j10]Wenxin Dai, Yuqing Mao, Rongao Yuan, Yijing Liu, Xuemei Pu, Chuan Li:
A Novel Detector Based on Convolution Neural Networks for Multiscale SAR Ship Detection in Complex Background. Sensors 20(9): 2547 (2020)
2010 – 2019
- 2019
- [j9]Fuhui Zhang, Yuan Yuan, Minghui Xiang, Yanzhi Guo, Menglong Li, Yijing Liu, Xuemei Pu:
Molecular Mechanism Regarding Allosteric Modulation of Ligand Binding and the Impact of Mutations on Dimerization for CCR5 Homodimer. J. Chem. Inf. Model. 59(5): 1965-1976 (2019) - [j8]Yinjie Xie, Wenxin Dai, Zhenxin Hu, Yijing Liu, Chuan Li, Xuemei Pu:
A Novel Convolutional Neural Network Architecture for SAR Target Recognition. J. Sensors 2019: 1246548:1-1246548:9 (2019) - 2018
- [j7]Wen Hu, Liu Qin, Menglong Li, Xuemei Pu, Yanzhi Guo:
Individually double minimum-distance definition of protein-RNA binding residues and application to structure-based prediction. J. Comput. Aided Mol. Des. 32(12): 1363-1373 (2018) - 2017
- [j6]Yu Wang, Yanzhi Guo, Xuemei Pu, Menglong Li:
Effective prediction of bacterial type IV secreted effectors by combined features of both C-termini and N-termini. J. Comput. Aided Mol. Des. 31(11): 1029-1038 (2017) - 2015
- [j5]Yuanyuan Fu, Yanzhi Guo, Yuelong Wang, Jiesi Luo, Xuemei Pu, Menglong Li, Zhihang Zhang:
Exploring the relationship between hub proteins and drug targets based on GO and intrinsic disorder. Comput. Biol. Chem. 56: 41-48 (2015) - [j4]Yu Wang, Yanzhi Guo, Qifan Kuang, Xuemei Pu, Yue Ji, Zhihang Zhang, Menglong Li:
A comparative study of family-specific protein-ligand complex affinity prediction based on random forest approach. J. Comput. Aided Mol. Des. 29(4): 349-360 (2015) - 2013
- [j3]Lezheng Yu, Jiesi Luo, Yanzhi Guo, Yizhou Li, Xuemei Pu, Menglong Li:
In silico identification of Gram-negative bacterial secreted proteins from primary sequence. Comput. Biol. Medicine 43(9): 1177-1181 (2013) - 2012
- [j2]Wenli Qin, Yizhou Li, Juan Li, Lezheng Yu, Di Wu, Runyu Jing, Xuemei Pu, Yanzhi Guo, Menglong Li:
Predicting deleterious non-synonymous single nucleotide polymorphisms in signal peptides based on hybrid sequence attributes. Comput. Biol. Chem. 36: 31-35 (2012) - [j1]Xia Wang, Gang Mi, Cuicui Wang, Yongqing Zhang, Juan Li, Yanzhi Guo, Xuemei Pu, Menglong Li:
Prediction of flavin mono-nucleotide binding sites using modified PSSM profile and ensemble support vector machine. Comput. Biol. Medicine 42(11): 1053-1059 (2012)
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