Aixia Yan

Orcid: 0000-0003-4811-8510

According to our database1, Aixia Yan authored at least 16 papers between 1998 and 2022.

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

Timeline

Legend:

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Online presence:

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Bibliography

2022
Discovery of Novel Epidermal Growth Factor Receptor (EGFR) Inhibitors Using Computational Approaches.
J. Chem. Inf. Model., 2022

Integrating concept of pharmacophore with graph neural networks for chemical property prediction and interpretation.
J. Cheminformatics, 2022

2021
SAR study on inhibitors of Hsp90α using machine learning methods.
CCF Trans. High Perform. Comput., 2021

A comprehensive comparative assessment of 3D molecular similarity tools in ligand-based virtual screening.
Briefings Bioinform., 2021

2019
Classification of Cyclooxygenase-2 Inhibitors Using Support Vector Machine and Random Forest Methods.
J. Chem. Inf. Model., 2019

2018
Identification of Novel Aurora Kinase A (AURKA) Inhibitors via Hierarchical Ligand-Based Virtual Screening.
J. Chem. Inf. Model., 2018

2012
Prediction of Activity Cliffs Using Support Vector Machines.
J. Chem. Inf. Model., 2012

Human Oral Bioavailability Prediction of Four Kinds of Drugs.
Int. J. Comput. Model. Algorithms Medicine, 2012

2011
P-glycoprotein Substrate Models Using Support Vector Machines Based on a Comprehensive Data set.
J. Chem. Inf. Model., 2011

2010
Similarity Perception of Reactions Catalyzed by Oxidoreductases and Hydrolases Using Different Classification Methods.
J. Chem. Inf. Model., 2010

2006
Modeling of Gibbs Energy of Formation of Organic Compounds by Linear and Nonlinear Methods.
J. Chem. Inf. Model., 2006

2004
Linear and nonlinear functions on modeling of aqueous solubility of organic compounds by two structure representation methods.
J. Comput. Aided Mol. Des., 2004

2003
Prediction of Aqueous Solubility of Organic Compounds Based on a 3D Structure Representation.
J. Chem. Inf. Comput. Sci., 2003

2001
Research and Prediction of Coordination Reactions Between CPA-mA and Some Metal Ions using Artificial Neural Networks.
Comput. Chem., 2001

2000
Use of Artificial Neural Networks to Predict the Gas Chromatographic Retention Index Data of Alkylbenzenes on Carbowax-20M.
Comput. Chem., 2000

1998
Large Artificial Neural Networks Applied to the Prediction of Retention Indices of Acyclic and Cyclic Alkanes, Alkenes, Alcohols, Esters, Ketones and Ethers.
Comput. Chem., 1998


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