| Construction of a web-based nanomaterial database by big data curation and modeling friendly nanostructure annotations X Yan, A Sedykh, W Wang, B Yan, H Zhu Nature communications 11 (1), 2519, 2020 | 107 | 2020 |
| Predicting nano–bio interactions by integrating nanoparticle libraries and quantitative nanostructure activity relationship modeling W Wang, A Sedykh, H Sun, L Zhao, DP Russo, H Zhou, B Yan, H Zhu ACS nano 11 (12), 12641-12649, 2017 | 97 | 2017 |
| Developing enhanced blood–brain barrier permeability models: integrating external bio-assay data in QSAR modeling W Wang, MT Kim, A Sedykh, H Zhu Pharmaceutical research 32, 3055-3065, 2015 | 88 | 2015 |
| 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 | 80 | 2019 |
| Nonanimal models for acute toxicity evaluations: applying data-driven profiling and read-across DP Russo, J Strickland, AL Karmaus, W Wang, S Shende, T Hartung, ... Environmental health perspectives 127 (4), 047001, 2019 | 76 | 2019 |
| Mechanism profiling of hepatotoxicity caused by oxidative stress using antioxidant response element reporter gene assay models and big data MT Kim, R Huang, A Sedykh, W Wang, M Xia, H Zhu Environmental health perspectives 124 (5), 634-641, 2016 | 74 | 2016 |
| Toward a systematic exploration of nano-bio interactions X Bai, F Liu, Y Liu, C Li, S Wang, H Zhou, W Wang, H Zhu, DA Winkler, ... Toxicology and applied pharmacology 323, 66-73, 2017 | 66 | 2017 |
| Experimental errors in QSAR modeling sets: what we can do and what we cannot do L Zhao, W Wang, A Sedykh, H Zhu ACS omega 2 (6), 2805-2812, 2017 | 64 | 2017 |
| Predictive modeling of estrogen receptor binding agents using advanced cheminformatics tools and massive public data K Ribay, MT Kim, W Wang, D Pinolini, H Zhu Frontiers in environmental science 4, 12, 2016 | 43 | 2016 |
| CIIPro: a new read-across portal to fill data gaps using public large-scale chemical and biological data DP Russo, MT Kim, W Wang, D Pinolini, S Shende, J Strickland, ... Bioinformatics 33 (3), 464-466, 2017 | 33 | 2017 |
| A humanized anti-DLL4 antibody promotes dysfunctional angiogenesis and inhibits breast tumor growth X Jia, W Wang, Z Xu, S Wang, T Wang, M Wang, M Wu Scientific Reports 6 (1), 27985, 2016 | 32 | 2016 |
| Mechanism-driven read-across of chemical hepatotoxicants based on chemical structures and biological data L Zhao, DP Russo, W Wang, LM Aleksunes, H Zhu Toxicological sciences 174 (2), 178-188, 2020 | 28 | 2020 |
| Modulation of carbon nanotubes' perturbation to the metabolic activity of CYP3A4 in the liver Y Zhang, Y Wang, A Liu, SL Xu, B Zhao, Y Zhang, H Zou, W Wang, H Zhu, ... Advanced Functional Materials 26 (6), 841-850, 2016 | 22 | 2016 |
| Universal nanohydrophobicity predictions using virtual nanoparticle library W Wang, X Yan, L Zhao, DP Russo, S Wang, Y Liu, A Sedykh, X Zhao, ... Journal of cheminformatics 11, 1-5, 2019 | 15 | 2019 |
| Curating and preparing high-throughput screening data for quantitative structure-activity relationship modeling MT Kim, W Wang, A Sedykh, H Zhu High-Throughput Screening Assays in Toxicology, 161-172, 2016 | 15 | 2016 |
| A molecular inversion probe assay for detecting alternative splicing S Lin, W Wang, C Palm, RW Davis, K Juneau BMC genomics 11, 1-14, 2010 | 14 | 2010 |
| Improved isolation of anti-rhTNF-α scFvs from phage display library by bioinformatics W Chen, J Zhang, T Zhang, H Li, W Wang, Z Xia, M Wang Molecular biotechnology 43, 20-28, 2009 | 12 | 2009 |
| Improving both aqueous solubility and anti-cancer activity by assessing progressive lead optimization libraries Y Liu, F Li, L Wu, W Wang, H Zhu, Q Zhang, H Zhou, B Yan Bioorganic & medicinal chemistry letters 25 (9), 1971-1975, 2015 | 9 | 2015 |
| Construction of a Web-based Nanomaterial Database by Big Data Curation and Modeling Friendly Nanostructure Annotations. Nat Commun, 11: 1–10 X Yan, A Sedykh, W Wang | 6 | 2020 |
| Experimental errors in QSAR modeling sets: what we can do and what we cannot do. ACS Omega 2 (6): 2805–2812 L Zhao, W Wang, A Sedykh, H Zhu | 5 | 2017 |
Hao ZhuProfessor of Biomedical Informatics and Genomics, Tulane University確認したメール アドレス: tulane.edu