Hao Zhu
Hao Zhu
Associate Professor of Chemistry, Rutgers University
Verified email at rutgers.edu - Homepage
TitleCited byYear
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
3002008
Combinatorial QSAR modeling of chemical toxicants tested against Tetrahymena pyriformis
H Zhu, A Tropsha, D Fourches, A Varnek, E Papa, P Gramatica, T Oberg, ...
Journal of chemical information and modeling 48 (4), 766-784, 2008
2432008
Estimation of the aqueous solubility of organic molecules by the group contribution approach
G Klopman, H Zhu
Journal of chemical information and computer sciences 41 (2), 439-445, 2001
1772001
Does rational selection of training and test sets improve the outcome of QSAR modeling?
TM Martin, P Harten, DM Young, EN Muratov, A Golbraikh, H Zhu, ...
Journal of chemical information and modeling 52 (10), 2570-2578, 2012
1672012
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
1552011
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 (8), 1902, 2008
1422008
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
1342009
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
1232017
Use of in Vitro HTS-Derived Concentration–Response Data as Biological Descriptors Improves the Accuracy of QSAR Models of in Vivo Toxicity
A Sedykh, H Zhu, H Tang, L Zhang, A Richard, I Rusyn, A Tropsha
Environmental health perspectives 119 (3), 364-370, 2011
912011
Modeling Liver-Related Adverse Effects of Drugs Using kNearest Neighbor Quantitative Structure−Activity Relationship Method
AD Rodgers, H Zhu, D Fourches, I Rusyn, A Tropsha
Chemical research in toxicology 23 (4), 724-732, 2010
892010
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
882016
Big data in chemical toxicity research: the use of high-throughput screening assays to identify potential toxicants
H Zhu, J Zhang, MT Kim, A Boison, A Sedykh, K Moran
Chemical research in toxicology 27 (10), 1643-1651, 2014
822014
Use of cell viability assay data improves the prediction accuracy of conventional quantitative structure–activity relationship models of animal carcinogenicity
H Zhu, I Rusyn, A Richard, A Tropsha
Environmental health perspectives 116 (4), 506-513, 2008
812008
Recent methodologies for the estimation of n-octanol/water partition coefficients and their use in the prediction of membrane transport properties of drugs
G Klopman, H Zhu
Mini reviews in medicinal chemistry 5 (2), 127-133, 2005
752005
Identification of putative estrogen receptor-mediated endocrine disrupting chemicals using QSAR-and structure-based virtual screening approaches
L Zhang, A Sedykh, A Tripathi, H Zhu, A Afantitis, VD Mouchlis, ...
Toxicology and applied pharmacology 272 (1), 67-76, 2013
722013
Human intestinal transporter database: QSAR modeling and virtual profiling of drug uptake, efflux and interactions
A Sedykh, D Fourches, J Duan, O Hucke, M Garneau, H Zhu, P Bonneau, ...
Pharmaceutical research 30 (4), 996-1007, 2013
692013
Tuning cell autophagy by diversifying carbon nanotube surface chemistry
L Wu, Y Zhang, C Zhang, X Cui, S Zhai, Y Liu, C Li, H Zhu, G Qu, G Jiang, ...
ACS nano 8 (3), 2087-2099, 2014
682014
Discovery of novel antimalarial compounds enabled by QSAR-based virtual screening
L Zhang, D Fourches, A Sedykh, H Zhu, A Golbraikh, S Ekins, J Clark, ...
Journal of chemical information and modeling 53 (2), 475-492, 2013
682013
A novel two-step hierarchical quantitative structure–activity relationship modeling work flow for predicting acute toxicity of chemicals in rodents
H Zhu, L Ye, A Richard, A Golbraikh, FA Wright, I Rusyn, A Tropsha
Environmental health perspectives 117 (8), 1257-1264, 2009
532009
t4 report: Supporting Read-Across Using Biological Data
H Zhu, M Bouhifd, N Kleinstreuer, ED Kroese, Z Liu, T Luechtefeld, ...
ALTEX 33 (2), 167, 2016
422016
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Articles 1–20