Xiliang Yan

In silico profiling nanoparticles: predictive nanomodeling using universal nanodescriptors and various machine learning approaches.

Hao Zhu, Xiaoli Zhao, Bing Yan, 2019, Nanoscale.

Universal nanohydrophobicity predictions using virtual nanoparticle library

Hao Zhu, Wenyi Wang, Xiaoli Zhao, 2019, Journal of Cheminformatics.

Transport Behavior of a Single Ca2+, K+, and Na+ in a Water-Filled Transmembrane Cyclic Peptide Nanotube

Jian Xu, Yi Yu, Mingming Zhang, 2015, J. Chem. Inf. Model..

Prediction of Nano–Bio Interactions through Convolutional Neural Network Analysis of Nanostructure Images

Daniel P. Russo, Bing Yan, Xiliang Yan, 2020, ACS Sustainable Chemistry & Engineering.

Exploring the dynamic behaviors and transport properties of gas molecules in a transmembrane cyclic peptide nanotube.

Rui Li, Jianfen Fan, Xiliang Yan, 2013, The journal of physical chemistry. B.

Analysis of model PM2.5-induced inflammation and cytotoxicity by the combination of a virtual carbon nanoparticle library and computational modeling.

Hao Zhu, Alexander Sedykh, Bing Yan, 2020, Ecotoxicology and environmental safety.

Virtual molecular projections and convolutional neural networks for end-to-end modeling of nanoparticle activities and properties.

Heng Huang, Daniel P. Russo, Bing Yan, 2020, Analytical chemistry.