Jianfeng Pei
Orcid: 0000-0002-8482-1185
According to our database1,
Jianfeng Pei
authored at least 23 papers
between 2003 and 2024.
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Bibliography
2024
Challenging Complexity with Simplicity: Rethinking the Role of Single-Step Models in Computer-Aided Synthesis Planning.
J. Chem. Inf. Model., 2024
2022
J. Chem. Inf. Model., 2022
Advances and Challenges in De Novo Drug Design Using Three-Dimensional Deep Generative Models.
J. Chem. Inf. Model., 2022
BMC Bioinform., 2022
2021
Learning to design drug-like molecules in three-dimensional space using deep generative models.
CoRR, 2021
A transferable deep learning approach to fast screen potential antiviral drugs against SARS-CoV-2.
Briefings Bioinform., 2021
2020
2018
Analysis of protein features and machine learning algorithms for prediction of druggable proteins.
Quant. Biol., 2018
CavityPlus: a web server for protein cavity detection with pharmacophore modelling, allosteric site identification and covalent ligand binding ability prediction.
Nucleic Acids Res., 2018
2017
Deep Learning Based Regression and Multiclass Models for Acute Oral Toxicity Prediction with Automatic Chemical Feature Extraction.
J. Chem. Inf. Model., November, 2017
J. Chem. Inf. Model., June, 2017
PharmMapper 2017 update: a web server for potential drug target identification with a comprehensive target pharmacophore database.
Nucleic Acids Res., 2017
Molecular Graph Encoding Convolutional Neural Networks for Automatic Chemical Feature Extraction.
CoRR, 2017
Sequence-based prediction of protein protein interaction using a deep-learning algorithm.
BMC Bioinform., 2017
2015
2014
<i>De Novo</i> Design of Multitarget Ligands with an Iterative Fragment-Growing Strategy.
J. Chem. Inf. Model., 2014
J. Cheminformatics, 2014
2011
J. Chem. Inf. Model., 2011
2007
A Large Descriptor Set and a Probabilistic Kernel-Based Classifier Significantly Improve Druglikeness Classification.
J. Chem. Inf. Model., 2007
2005
J. Chem. Inf. Model., 2005
J. Chem. Inf. Model., 2005
2003
3D-QSAR and Receptor Modeling of Tyrosine Kinase Inhibitors with Flexible Atom Receptor Model (FLARM).
J. Chem. Inf. Comput. Sci., 2003