| admetSAR: a comprehensive source and free tool for assessment of chemical ADMET properties F Cheng, W Li, Y Zhou, J Shen, Z Wu, G Liu, PW Lee, Y Tang Journal of chemical information and modeling 52 (11), 3099-3105, 2012 | 1916 | 2012 |
| Network-based drug repurposing for novel coronavirus 2019-nCoV/SARS-CoV-2 Y Zhou, Y Hou, J Shen, Y Huang, W Martin, F Cheng Cell discovery 6 (1), 14, 2020 | 1568 | 2020 |
| Artificial intelligence in COVID-19 drug repurposing Y Zhou, F Wang, J Tang, R Nussinov, F Cheng The Lancet Digital Health 2 (12), e667-e676, 2020 | 459 | 2020 |
| deepDR: a network-based deep learning approach to in silico drug repositioning X Zeng, S Zhu, X Liu, Y Zhou, R Nussinov, F Cheng Bioinformatics 35 (24), 5191-5198, 2019 | 375 | 2019 |
| Target identification among known drugs by deep learning from heterogeneous networks X Zeng, S Zhu, W Lu, Z Liu, J Huang, Y Zhou, J Fang, Y Huang, H Guo, ... Chemical Science 11 (7), 1775-1797, 2020 | 240 | 2020 |
| Repurpose open data to discover therapeutics for COVID-19 using deep learning X Zeng, X Song, T Ma, X Pan, Y Zhou, Y Hou, Z Zhang, K Li, G Karypis, ... Journal of proteome research 19 (11), 4624-4636, 2020 | 213 | 2020 |
| A network medicine approach to investigation and population-based validation of disease manifestations and drug repurposing for COVID-19 Y Zhou, Y Hou, J Shen, R Mehra, A Kallianpur, DA Culver, MU Gack, ... PLoS biology 18 (11), e3000970, 2020 | 189 | 2020 |
| Deep learning-based prediction of drug-induced cardiotoxicity C Cai, P Guo, Y Zhou, J Zhou, Q Wang, F Zhang, J Fang, F Cheng Journal of chemical information and modeling 59 (3), 1073-1084, 2019 | 156 | 2019 |
| Myeloid-derived suppressor cell subsets drive glioblastoma growth in a sex-specific manner D Bayik, Y Zhou, C Park, C Hong, D Vail, DJ Silver, A Lauko, G Roversi, ... Cancer discovery 10 (8), 1210-1225, 2020 | 155* | 2020 |
| Prediction of chemical–protein interactions: multitarget-QSAR versus computational chemogenomic methods F Cheng, Y Zhou, J Li, W Li, G Liu, Y Tang Molecular BioSystems 8 (9), 2373-2384, 2012 | 131 | 2012 |
| Comprehensive characterization of protein–protein interactions perturbed by disease mutations F Cheng, J Zhao, Y Wang, W Lu, Z Liu, Y Zhou, WR Martin, R Wang, ... Nature genetics 53 (3), 342-353, 2021 | 128 | 2021 |
| Alzheimer's disease drug development pipeline: 2023 J Cummings, Y Zhou, G Lee, K Zhong, J Fonseca, F Cheng Alzheimer's & Dementia: Translational Research & Clinical Interventions 9 (2 …, 2023 | 124 | 2023 |
| Adverse drug events: database construction and in silico prediction F Cheng, W Li, X Wang, Y Zhou, Z Wu, J Shen, Y Tang Journal of chemical information and modeling 53 (4), 744-752, 2013 | 124 | 2013 |
| Network medicine links SARS-CoV-2/COVID-19 infection to brain microvascular injury and neuroinflammation in dementia-like cognitive impairment Y Zhou, J Xu, Y Hou, JB Leverenz, A Kallianpur, R Mehra, Y Liu, H Yu, ... Alzheimer's research & therapy 13 (1), 110, 2021 | 122 | 2021 |
| In silico assessment of chemical biodegradability F Cheng, Y Ikenaga, Y Zhou, Y Yu, W Li, J Shen, Z Du, L Chen, C Xu, ... Journal of chemical information and modeling 52 (3), 655-669, 2012 | 113 | 2012 |
| Endophenotype-based in silico network medicine discovery combined with insurance record data mining identifies sildenafil as a candidate drug for Alzheimer’s disease J Fang, P Zhang, Y Zhou, CW Chiang, J Tan, Y Hou, S Stauffer, L Li, ... Nature Aging 1 (12), 1175-1188, 2021 | 110 | 2021 |
| Prediction of chemical-protein interactions network with weighted network-based inference method F Cheng, Y Zhou, W Li, G Liu, Y Tang PloS one 7 (7), e41064, 2012 | 109 | 2012 |
| A comprehensive SARS-CoV-2–human protein–protein interactome reveals COVID-19 pathobiology and potential host therapeutic targets Y Zhou, Y Liu, S Gupta, MI Paramo, Y Hou, C Mao, Y Luo, J Judd, ... Nature biotechnology 41 (1), 128-139, 2023 | 88 | 2023 |
| Insights into molecular basis of cytochrome p450 inhibitory promiscuity of compounds F Cheng, Y Yu, Y Zhou, Z Shen, W Xiao, G Liu, W Li, PW Lee, Y Tang Journal of chemical information and modeling 51 (10), 2482-2495, 2011 | 78 | 2011 |
| Exploring tunable hyperparameters for deep neural networks with industrial ADME data sets Y Zhou, S Cahya, SA Combs, CA Nicolaou, J Wang, PV Desai, J Shen Journal of chemical information and modeling 59 (3), 1005-1016, 2018 | 67 | 2018 |
Feixiong ChengCleveland ClinicEmail verificata su ccf.org
