| Community assessment to advance computational prediction of cancer drug combinations in a pharmacogenomic screen MP Menden, D Wang, MJ Mason, B Szalai, KC Bulusu, Y Guan, T Yu, ... Nature communications 10 (1), 2674, 2019 | 273 | 2019 |
| Phantom PAINS: Problems with the Utility of Alerts for Pan-Assay INterference CompoundS SJ Capuzzi, EN Muratov, A Tropsha Journal of chemical information and modeling 57 (3), 417-427, 2017 | 228 | 2017 |
| Progress Towards a Public Chemogenomic Set for Protein Kinases and a Call for Contributions DH Drewry, CI Wells, DM Andrews, R Angell, H Al-Ali, AD Axtman, ... PLoS ONE 12 (8), e0181585, 2017 | 149 | 2017 |
| Alarms about structural alerts VM Alves, EN Muratov, SJ Capuzzi, R Politi, Y Low, RC Braga, ... Green Chemistry 18 (16), 4348-4360, 2016 | 130 | 2016 |
| QSAR modeling of Tox21 challenge stress response and nuclear receptor signaling toxicity assays SJ Capuzzi, R Politi, O Isayev, S Farag, A Tropsha Frontiers in Environmental Science 4, 3, 2016 | 89 | 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 | 82 | 2021 |
| Crowdsourced mapping of unexplored target space of kinase inhibitors A Cichońska, B Ravikumar, RJ Allaway, F Wan, S Park, O Isayev, S Li, ... Nature communications 12 (1), 3307, 2021 | 62 | 2021 |
| Toward A Universal Biomedical Data Translator TBDT Consortium Clinical and Translational Science, 1-5, 2018 | 62* | 2018 |
| Chembench: a publicly accessible, integrated cheminformatics portal SJ Capuzzi, ISJ Kim, WI Lam, TE Thornton, EN Muratov, D Pozefsky, ... Journal of chemical information and modeling 57 (2), 105-108, 2017 | 60 | 2017 |
| SGC-GAK-1: a chemical probe for cyclin G associated kinase (GAK) CRM Asquith, BT Berger, J Wan, JM Bennett, SJ Capuzzi, DJ Crona, ... Journal of medicinal chemistry 62 (5), 2830-2836, 2019 | 58 | 2019 |
| Slow-sand water filter: Design, implementation, accessibility and sustainability in developing countries PA Clark, CA Pinedo, M Fadus, S Capuzzi Medical science monitor: international medical journal of experimental and …, 2012 | 54 | 2012 |
| QSAR models of human data can enrich or replace LLNA testing for human skin sensitization VM Alves, SJ Capuzzi, EN Muratov, RC Braga, TE Thornton, D Fourches, ... Green chemistry 18 (24), 6501-6515, 2016 | 50 | 2016 |
| Multi-descriptor read across (MuDRA): A simple and transparent approach for developing accurate quantitative structure–activity relationship models VM Alves, A Golbraikh, SJ Capuzzi, K Liu, WI Lam, DR Korn, D Pozefsky, ... Journal of chemical information and modeling 58 (6), 1214-1223, 2018 | 48 | 2018 |
| Chemotext: a publicly available web server for mining drug–target–disease relationships in PubMed SJ Capuzzi, TE Thornton, K Liu, N Baker, WI Lam, CP O’banion, ... Journal of chemical information and modeling 58 (2), 212-218, 2018 | 46 | 2018 |
| Computer-aided discovery and characterization of novel Ebola virus inhibitors SJ Capuzzi, W Sun, EN Muratov, C Martínez-Romero, S He, W Zhu, H Li, ... Journal of medicinal chemistry 61 (8), 3582-3594, 2018 | 38 | 2018 |
| A Perspective and a New Integrated Computational Strategy for Skin Sensitization Assessment VM Alves, SJ Capuzzi, RC Braga, JVB Borba, AC Silva, T Luechtefeld, ... ACS Sustainable Chemistry and Engineering, 2018 | 36 | 2018 |
| Somatic loss of function mutations in neurofibromin 1 and MYC associated factor X genes identified by exome-wide sequencing in a wild-type GIST case MG Belinsky, L Rink, KQ Cai, SJ Capuzzi, Y Hoang, J Chien, AK Godwin, ... BMC cancer 15, 1-9, 2015 | 35 | 2015 |
| The biomedical data translator program: conception, culture, and community Biomedical Data Translator Consortium Clinical and translational science 12 (2), 91, 2019 | 33 | 2019 |
| Synergistic drug combinations and machine learning for drug repurposing in chordoma E Anderson, TM Havener, KM Zorn, DH Foil, TR Lane, SJ Capuzzi, ... Scientific reports 10 (1), 12982, 2020 | 31 | 2020 |
| Oy vey! A comment on “Machine learning of toxicological big data enables read-across structure activity relationships outperforming animal test reproducibility” VM Alves, J Borba, SJ Capuzzi, E Muratov, CH Andrade, I Rusyn, ... Toxicological Sciences 167 (1), 3-4, 2019 | 30 | 2019 |
Alexander TropshaProfessor at UNC-Chapel HillVerified email at unc.edu
