Articles with public access mandates - Hao ZhuLearn more
Not available anywhere: 14
From machine learning to deep learning: progress in machine intelligence for rational drug discovery
L Zhang, J Tan, D Han, H Zhu
Drug discovery today 22 (11), 1680-1685, 2017
Mandates: National Natural Science Foundation of China
Regulation of cell uptake and cytotoxicity by nanoparticle core under the controlled shape, size, and surface chemistries
X Bai, S Wang, X Yan, H Zhou, J Zhan, S Liu, VK Sharma, G Jiang, H Zhu, ...
ACS nano 14 (1), 289-302, 2019
Mandates: Chinese Academy of Sciences, National Natural Science Foundation of China
In silico profiling nanoparticles: predictive nanomodeling using universal nanodescriptors and various machine learning approaches
X Yan, A Sedykh, W Wang, X Zhao, B Yan, H Zhu
Nanoscale 11 (17), 8352-8362, 2019
Mandates: Chinese Academy of Sciences, National Natural Science Foundation of China
FTIR spectroscopy coupled with machine learning approaches as a rapid tool for identification and quantification of artificial sweeteners
YT Wang, B Li, XJ Xu, HB Ren, JY Yin, H Zhu, YH Zhang
Food chemistry 303, 125404, 2020
Mandates: National Natural Science Foundation of China
Prediction of Nano–Bio Interactions through Convolutional Neural Network Analysis of Nanostructure Images
X Yan, J Zhang, DP Russo, H Zhu, B Yan
ACS Sustainable Chemistry & Engineering 8 (51), 19096-19104, 2020
Mandates: National Natural Science Foundation of China
Comprehensive Interrogation on Acetylcholinesterase Inhibition by Ionic Liquids Using Machine Learning and Molecular Modeling
J Yan, X Yan, S Hu, H Zhu, B Yan
Environmental Science & Technology 55 (21), 14720-14731, 2021
Mandates: National Natural Science Foundation of China
Converting nanotoxicity data to information using artificial intelligence and simulation
X Yan, T Yue, DA Winkler, Y Yin, H Zhu, G Jiang, B Yan
Chemical Reviews 123 (13), 8575-8637, 2023
Mandates: National Natural Science Foundation of China
Predictive Modeling of Angiotensin I-Converting Enzyme Inhibitory Peptides Using Various Machine Learning Approaches
YT Wang, DP Russo, C Liu, Q Zhou, H Zhu, YH Zhang
Journal of Agricultural and Food Chemistry 68 (43), 12132-12140, 2020
Mandates: National Natural Science Foundation of China
Virtual Molecular Projections and Convolutional Neural Networks for the End-to-End Modeling of Nanoparticle Activities and Properties
DP Russo, X Yan, S Shende, H Huang, B Yan, H Zhu
Analytical Chemistry 92 (20), 13971-13979, 2020
Mandates: National Natural Science Foundation of China
Predicting plant cuticle-water partition coefficients for organic pollutants using pp-LFER model
X Qi, X Li, H Yao, Y Huang, X Cai, J Chen, H Zhu
Science of The Total Environment 725, 138455, 2020
Mandates: National Natural Science Foundation of China
Mechanistic in silico modeling of bisphenols to predict estrogen and glucocorticoid disrupting potentials
Q Chen, C Zhou, W Shi, X Wang, P Xia, M Song, J Liu, H Zhu, X Zhang, ...
Science of The Total Environment 728, 138854, 2020
Mandates: National Natural Science Foundation of China
Regulation of aryl hydrocarbon receptor signaling pathway and dioxin toxicity by novel agonists and antagonists
Y Liu, Y Wei, S Zhang, X Yan, H Zhu, L Xu, B Zhao, HQ Xie, B Yan
Chemical Research in Toxicology 33 (2), 614-624, 2019
Mandates: National Natural Science Foundation of China
Bridging the Gap Between Nanotoxicological Data and the Critical Structure–Activity Relationships
X Yan, T Yue, H Zhu, B Yan
Advances in Toxicology and Risk Assessment of Nanomaterials and Emerging …, 2022
Mandates: National Natural Science Foundation of China
Structure-guided discovery of food-derived GABA-T inhibitors as hunters for anti-anxiety compounds
MQ Liu, T Wang, QL Wang, J Zhou, BR Wang, B Zhang, KL Wang, H Zhu, ...
Food & Function 13 (24), 12674-12685, 2022
Mandates: National Natural Science Foundation of China
Available somewhere: 67
Critical assessment of QSAR models of environmental toxicity against Tetrahymena pyriformis: focusing on applicability domain and overfitting by variable selection
IV Tetko, I Sushko, AK Pandey, H Zhu, A Tropsha, E Papa, T Oberg, ...
Journal of chemical information and modeling 48 (9), 1733-1746, 2008
Mandates: US National Institutes of Health
Big data and artificial intelligence modeling for drug discovery
H Zhu
Annual review of pharmacology and toxicology 60 (1), 573-589, 2020
Mandates: US National Institutes of Health
Quantitative structure− activity relationship modeling of rat acute toxicity by oral exposure
H Zhu, TM Martin, L Ye, A Sedykh, DM Young, A Tropsha
Chemical research in toxicology 22 (12), 1913-1921, 2009
Mandates: US National Institutes of Health
Predicting drug-induced hepatotoxicity using QSAR and toxicogenomics approaches
Y Low, T Uehara, Y Minowa, H Yamada, Y Ohno, T Urushidani, A Sedykh, ...
Chemical research in toxicology 24 (8), 1251-1262, 2011
Mandates: US National Institutes of Health
QSAR modeling of the blood–brain barrier permeability for diverse organic compounds
L Zhang, H Zhu, TI Oprea, A Golbraikh, A Tropsha
Pharmaceutical research 25, 1902-1914, 2008
Mandates: US National Institutes of Health
Toward Good Read-Across Practice (GRAP) guidance.
N Ball, MT Cronin, J Shen, MD Adenuga, K Blackburn, ED Booth, ...
ALTEX 33 (2), 149-166, 2016
Mandates: US National Institutes of Health, European Commission
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