Jianfeng Pei

Orcid: 0000-0002-8482-1185

According to our database1, Jianfeng Pei authored at least 23 papers between 2003 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2024
Challenging Complexity with Simplicity: Rethinking the Role of Single-Step Models in Computer-Aided Synthesis Planning.
J. Chem. Inf. Model., 2024

2022
MolMiner: You Only Look Once for Chemical Structure Recognition.
J. Chem. Inf. Model., 2022

Advances and Challenges in De Novo Drug Design Using Three-Dimensional Deep Generative Models.
J. Chem. Inf. Model., 2022

Prediction of liquid-liquid phase separating proteins using machine learning.
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
Super Edge-Connected Linear Hypergraphs.
Parallel Process. Lett., 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

Statistical Analysis and Prediction of Covalent Ligand Targeted Cysteine Residues.
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

Computational Multitarget Drug Design.
J. Chem. Inf. Model., 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
Deep Learning for Drug-Induced Liver Injury.
J. Chem. Inf. Model., 2015

2014
<i>De Novo</i> Design of Multitarget Ligands with an Iterative Fragment-Growing Strategy.
J. Chem. Inf. Model., 2014

iDrug: a web-accessible and interactive drug discovery and design platform.
J. Cheminformatics, 2014

2011
LigBuilder 2: A Practical <i>de Novo</i> Drug Design Approach.
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
Improving the Quality of 3D-QSAR by Using Flexible-Ligand Receptor Models.
J. Chem. Inf. Model., 2005

Virtual Screening of Novel Noncovalent Inhibitors for SARS-CoV 3C-like Proteinase.
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


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