| Exploiting machine learning for end-to-end drug discovery and development S Ekins, AC Puhl, KM Zorn, TR Lane, DP Russo, JJ Klein, AJ Hickey, ... Nature materials 18 (5), 435-441, 2019 | 484 | 2019 |
| Comparison of deep learning with multiple machine learning methods and metrics using diverse drug discovery data sets A Korotcov, V Tkachenko, DP Russo, S Ekins Molecular pharmaceutics 14 (12), 4462-4475, 2017 | 350 | 2017 |
| T4 report: Toward good read-across practice (GRAP) guidance N Ball, MTD Cronin, J Shen, K Blackburn, ED Booth, M Bouhifd, E Donley, ... Altex 33 (2), 149, 2016 | 198 | 2016 |
| Comparing multiple machine learning algorithms and metrics for estrogen receptor binding prediction DP Russo, KM Zorn, AM Clark, H Zhu, S Ekins Molecular pharmaceutics 15 (10), 4361-4370, 2018 | 148 | 2018 |
| Analysis of Draize eye irritation testing and its prediction by mining publicly available 2008–2014 REACH data T Luechtefeld, A Maertens, DP Russo, C Rovida, H Zhu, T Hartung Altex 33 (2), 123, 2016 | 113 | 2016 |
| CATMoS: collaborative acute toxicity modeling suite K Mansouri, AL Karmaus, J Fitzpatrick, G Patlewicz, P Pradeep, D Alberga, ... Environmental health perspectives 129 (4), 047013, 2021 | 100 | 2021 |
| Comparing and Validating Machine Learning Models for Mycobacterium tuberculosis Drug Discovery T Lane, DP Russo, KM Zorn, AM Clark, A Korotcov, V Tkachenko, ... Molecular pharmaceutics 15 (10), 4346-4360, 2018 | 98 | 2018 |
| 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 | 93 | 2017 |
| 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 |
| Global analysis of publicly available safety data for 9,801 substances registered under REACH from 2008–2014 T Luechtefeld, A Maertens, DP Russo, C Rovida, H Zhu, T Hartung Altex 33 (2), 95, 2016 | 70 | 2016 |
| Abnormal functional relationship of sensorimotor network with neurotransmitter-related nuclei via subcortical-cortical loops in manic and depressive phases of bipolar disorder M Martino, P Magioncalda, B Conio, L Capobianco, D Russo, ... Schizophrenia Bulletin 46 (1), 163-174, 2020 | 66 | 2020 |
| Analysis of publically available skin sensitization data from REACH registrations 2008–2014 T Luechtefeld, A Maertens, DP Russo, C Rovida, H Zhu, T Hartung Altex 33 (2), 135, 2016 | 65 | 2016 |
| Multiple machine learning comparisons of HIV cell-based and reverse transcriptase data sets KM Zorn, TR Lane, DP Russo, AM Clark, V Makarov, S Ekins Molecular pharmaceutics 16 (4), 1620-1632, 2019 | 57 | 2019 |
| Opposing changes in the functional architecture of large-scale networks in bipolar mania and depression D Russo, M Martino, P Magioncalda, M Inglese, M Amore, G Northoff Schizophrenia bulletin 46 (4), 971-980, 2020 | 49 | 2020 |
| Analysis of public oral toxicity data from REACH registrations 2008–2014 T Luechtefeld, A Maertens, DP Russo, C Rovida, H Zhu, T Hartung Altex 33 (2), 111, 2016 | 49 | 2016 |
| White matter microstructure alterations correlate with terminally differentiated CD8+ effector T cell depletion in the peripheral blood in mania: combined DTI and immunological … P Magioncalda, M Martino, S Tardito, B Sterlini, B Conio, V Marozzi, ... Brain, Behavior, and Immunity 73, 192-204, 2018 | 46 | 2018 |
| Baseline description of the juvenile localized scleroderma subgroup from the childhood arthritis and rheumatology research alliance legacy registry EY Wu, SC Li, KS Torok, YV Virkud, RC Fuhlbrigge, CE Rabinovich, ... ACR open rheumatology 1 (2), 119-124, 2019 | 44 | 2019 |
| Revealing adverse outcome pathways from public high-throughput screening data to evaluate new toxicants by a knowledge-based deep neural network approach HL Ciallella, DP Russo, LM Aleksunes, FA Grimm, H Zhu Environmental science & technology 55 (15), 10875-10887, 2021 | 39 | 2021 |
| Predictive modeling of estrogen receptor agonism, antagonism, and binding activities using machine-and deep-learning approaches HL Ciallella, DP Russo, LM Aleksunes, FA Grimm, H Zhu Laboratory investigation 101 (4), 490-502, 2021 | 39 | 2021 |
| 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 | 38 | 2020 |
