| A comprehensive assessment of RNA-seq accuracy, reproducibility and information content by the Sequencing Quality Control Consortium SMIII Consortium Nature Biotechnology 32, 903–914, 2014 | 841 | 2014 |
| Comparison of RNA-seq and microarray-based models for clinical endpoint prediction W Zhang, Y Yu, F Hertwig, J Thierry-Mieg, W Zhang, D Thierry-Mieg, ... Genome Biology 16 (1), 133, 2015 | 394 | 2015 |
| A rat RNA-Seq transcriptomic BodyMap across 11 organs and 4 developmental stages Y Yu, JC Fuscoe, C Zhao, C Guo, M Jia, T Qing, DI Bannon, L Lancashire, ... Nature communications 5 (1), 1-11, 2014 | 360 | 2014 |
| DRAR-CPI: a server for identifying drug repositioning potential and adverse drug reactions via the chemical–protein interactome H Luo, J Chen, L Shi, M Mikailov, H Zhu, K Wang, L He, L Yang Nucleic acids research 39 (suppl_2), W492-W498, 2011 | 243 | 2011 |
| Interpretable drug target prediction using deep neural representation Y Gao, A Fokoue, H Luo, A Iyengar, S Dey, P Zhang Proceedings of IJCAI-ECAI-2018, 2018 | 239 | 2018 |
| Predicting adverse drug reactions through interpretable deep learning framework S Dey, H Luo, A Fokoue, J Hu, P Zhang BMC Bioinformatics 19 (Suppl 21), 476, 2018 | 131 | 2018 |
| Exploring off-targets and off-systems for adverse drug reactions via chemical-protein interactome—clozapine-induced agranulocytosis as a case study L Yang, K Wang, J Chen, AG Jegga, H Luo, L Shi, C Wan, X Guo, S Qin, ... PLoS Computational Biology 7 (3), e1002016, 2011 | 117 | 2011 |
| Drug repositioning for diabetes based on 'omics' data mining M Zhang, H Luo, Z Xi, E Rogaeva PLOS ONE 10 (5), e0126082, 2015 | 99 | 2015 |
| Combining docking pose rank and structure with deep learning improves protein–ligand binding mode prediction over a baseline docking approach JA Morrone, JK Weber, T Huynh, H Luo, WD Cornell Journal of chemical information and modeling 60 (9), 4170-4179, 2020 | 80 | 2020 |
| Estrogenic activity data extraction and in silico prediction show the endocrine disruption potential of bisphenol a replacement compounds HW Ng, M Shu, H Luo, H Ye, W Ge, R Perkins, W Tong, H Hong Chemical Research in Toxicology 28 (9), 1784-1795, 2015 | 78 | 2015 |
| DDI-CPI, a server that predicts drug–drug interactions through implementing the chemical–protein interactome H Luo, P Zhang, H Huang, J Huang, E Kao, L Shi, L He, L Yang Nucleic acids research 42 (W1), W46-W52, 2014 | 78 | 2014 |
| Machine learning methods for predicting HLA-peptide binding activity H Luo, H Ye, HW Ng, L Shi, W Tong, D Mendrick, H Hong Bioinformatics and Biology Insights 9 (S3), 21-29, 2015 | 76 | 2015 |
| Molecular docking to identify associations between drugs and Class I human leukocyte antigens for predicting idiosyncratic drug reactions H Luo, T Du, P Zhou, L Yang, H Mei, HW Ng, W Zhang, M Shu, W Tong, ... Comb Chem High Throughput Screen. 18 (3), 296-304(9), 2015 | 75 | 2015 |
| Competitive molecular docking approach for predicting estrogen receptor subtype α agonists and antagonists HW Ng, W Zhang, M Shu, H Luo, W Ge, R Perkins, W Tong, H Hong BMC Bioinformatics 2014 (15(Suppl 11):S4), 2014 | 75 | 2014 |
| SePreSA: a server for the prediction of populations susceptible to serious adverse drug reactions implementing the methodology of a chemical–protein interactome L Yang, H Luo, J Chen, Q Xing, L He Nucleic acids research 37 (suppl_2), W406-W412, 2009 | 67 | 2009 |
| HLA-B*59:01: a marker for Stevens-Johnson syndrome/toxic epidermal necrolysis caused by methazolamide in Han Chinese F Yang, J Xuan, J Chen, H Zhong, H Luo, P Zhou, X Sun, L He, S Chen, ... The Pharmacogenomics Journal 16, 83–87, 2016 | 60 | 2016 |
| HLA-B*13:01 is associated with salazosulfapyridine-induced drug rash with eosinophilia and systemic symptoms in Chinese Han population F Yang, B Gu, L Zhang, J Xuan, H Luo, P Zhou, Q Zhu, S Yan, S Chen, ... Pharmacogenomics 15 (11), 1461-1469, 2014 | 53 | 2014 |
| Development and validation of Decision Forest model for estrogen receptor binding prediction of chemicals using large data sets HW Ng, SW Doughty, H Luo, H Ye, W Ge, W Tong, H Hong Chemical Research in Toxicology, 2015 | 52 | 2015 |
| Whole genome sequencing of 35 individuals provides insights into the genetic architecture of Korean population W Zhang, J Meehan, Z Su, HW Ng, M Shu, H Luo, W Ge, R Perkins, ... BMC Bioinformatics 2014 (15(Suppl 11):S6), 2014 | 39 | 2014 |
| Molecular docking for identification of potential targets for drug repurposing H Luo, W Mattes, DL Mendrick, H Hong Current Topics in Medicinal Chemistry 17, 1-10, 2016 | 38 | 2016 |
Mike MikailovComputer Scientist, U.S. Food and Drug AdministrationEmail verificata su fda.hhs.gov
