Jianfeng Pei

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 17

Top Topics

Machine Learning

Subcellular Localization

Top Venues

J. Chem. Inf. Model.

Nucleic Acids Res.

Publications

Junren Li, Kangjie Lin, Jianfeng Pei, Luhua Lai
Challenging Complexity with Simplicity: Rethinking the Role of Single-Step Models in Computer-Aided Synthesis Planning. J. Chem. Inf. Model. 64 (14) (2024)
Youjun Xu, Jinchuan Xiao, Chia-Han Chou, Jianhang Zhang, Jintao Zhu, Qiwan Hu, Hemin Li, Ningsheng Han, Bingyu Liu, Shuaipeng Zhang, Jinyu Han, Zhen Zhang, Shuhao Zhang, Weilin Zhang, Luhua Lai, Jianfeng Pei
MolMiner: You Only Look Once for Chemical Structure Recognition. J. Chem. Inf. Model. 62 (22) (2022)
Xiaoquan Chu, Tanlin Sun, Qian Li, Youjun Xu, Zhuqing Zhang, Luhua Lai, Jianfeng Pei
Prediction of liquid-liquid phase separating proteins using machine learning. BMC Bioinform. 23 (1) (2022)
Youjun Xu, Jinchuan Xiao, Chia-Han Chou, Jianhang Zhang, Jintao Zhu, Qiwan Hu, Hemin Li, Ningsheng Han, Bingyu Liu, Shuaipeng Zhang, Jinyu Han, Zhen Zhang, Shuhao Zhang, Weilin Zhang, Luhua Lai, Jianfeng Pei
MolMiner: You only look once for chemical structure recognition. CoRR (2022)
Weixin Xie, Fanhao Wang, Yibo Li, Luhua Lai, Jianfeng Pei
Advances and Challenges in De Novo Drug Design Using Three-Dimensional Deep Generative Models. J. Chem. Inf. Model. 62 (10) (2022)
Shiwei Wang, Qi Sun, Youjun Xu, Jianfeng Pei, Luhua Lai
A transferable deep learning approach to fast screen potential antiviral drugs against SARS-CoV-2. Briefings Bioinform. 22 (6) (2021)
Yibo Li, Jianfeng Pei, Luhua Lai
Learning to design drug-like molecules in three-dimensional space using deep generative models. CoRR (2021)
Shangwei Lin, Jianfeng Pei, Chunfang Li
Super Edge-Connected Linear Hypergraphs. Parallel Process. Lett. 30 (3) (2020)
Youjun Xu, Shiwei Wang, Qiwan Hu, Shuaishi Gao, Xiaomin Ma, Weilin Zhang, Yihang Shen, Fangjin Chen, Luhua Lai, Jianfeng Pei
CavityPlus: a web server for protein cavity detection with pharmacophore modelling, allosteric site identification and covalent ligand binding ability prediction. Nucleic Acids Res. 46 (Webserver-Issue) (2018)
Tanlin Sun, Luhua Lai, Jianfeng Pei
Analysis of protein features and machine learning algorithms for prediction of druggable proteins. Quant. Biol. 6 (4) (2018)
Xia Wang, Yihang Shen, Shiwei Wang, Shiliang Li, Weilin Zhang, Xiaofeng Liu, Luhua Lai, Jianfeng Pei, Honglin Li
PharmMapper 2017 update: a web server for potential drug target identification with a comprehensive target pharmacophore database. Nucleic Acids Res. 45 (Webserver-Issue) (2017)
Youjun Xu, Jianfeng Pei, Luhua Lai
Deep Learning Based Regression and Multiclass Models for Acute Oral Toxicity Prediction with Automatic Chemical Feature Extraction. J. Chem. Inf. Model. 57 (11) (2017)
Tanlin Sun, Bo Zhou, Luhua Lai, Jianfeng Pei
Sequence-based prediction of protein protein interaction using a deep-learning algorithm. BMC Bioinform. 18 (1) (2017)
Weilin Zhang, Jianfeng Pei, Luhua Lai
Statistical Analysis and Prediction of Covalent Ligand Targeted Cysteine Residues. J. Chem. Inf. Model. 57 (6) (2017)
Weilin Zhang, Jianfeng Pei, Luhua Lai
Computational Multitarget Drug Design. J. Chem. Inf. Model. 57 (3) (2017)
Youjun Xu, Jianfeng Pei, Luhua Lai
Molecular Graph Encoding Convolutional Neural Networks for Automatic Chemical Feature Extraction. CoRR (2017)
Youjun Xu, Ziwei Dai, Fangjin Chen, Shuaishi Gao, Jianfeng Pei, Luhua Lai
Deep Learning for Drug-Induced Liver Injury. J. Chem. Inf. Model. 55 (10) (2015)
Xia Wang, Haipeng Chen, Feng Yang, Jiayu Gong, Shiliang Li, Jianfeng Pei, Xiaofeng Liu, Hualiang Jiang, Luhua Lai, Honglin Li
iDrug: a web-accessible and interactive drug discovery and design platform. J. Cheminformatics 6 (1) (2014)
Erchang Shang, Yaxia Yuan, Xinyi Chen, Ying Liu, Jianfeng Pei, Luhua Lai
Design of Multitarget Ligands with an Iterative Fragment-Growing Strategy. J. Chem. Inf. Model. 54 (4) (2014)
Yaxia Yuan, Jianfeng Pei, Luhua Lai
Drug Design Approach. J. Chem. Inf. Model. 51 (5) (2011)
Qingliang Li, Andreas Bender, Jianfeng Pei, Luhua Lai
A Large Descriptor Set and a Probabilistic Kernel-Based Classifier Significantly Improve Druglikeness Classification. J. Chem. Inf. Model. 47 (5) (2007)
Jianfeng Pei, Hao Chen, Zhenming Liu, Xiaofeng Han, Qi Wang, Bin Shen, Jiaju Zhou, Luhua Lai
Improving the Quality of 3D-QSAR by Using Flexible-Ligand Receptor Models. J. Chem. Inf. Model. 45 (6) (2005)
Zhenming Liu, Changkang Huang, Keqiang Fan, Ping Wei, Hao Chen, Shiyong Liu, Jianfeng Pei, Lei Shi, Bo Li, Kun Yang, Ying Liu, Luhua Lai
Virtual Screening of Novel Noncovalent Inhibitors for SARS-CoV 3C-like Proteinase. J. Chem. Inf. Model. 45 (1) (2005)
Tao Peng, Jianfeng Pei, Jiaju Zhou
3D-QSAR and Receptor Modeling of Tyrosine Kinase Inhibitors with Flexible Atom Receptor Model (FLARM). J. Chem. Inf. Comput. Sci. 43 (1) (2003)