| DrugBank 5.0: a major update to the DrugBank database for 2018 DS Wishart, YD Feunang, AC Guo, EJ Lo, A Marcu, JR Grant, T Sajed, ... Nucleic acids research 46 (D1), D1074-D1082, 2018 | 8019 | 2018 |
| HMDB 4.0: the human metabolome database for 2018 DS Wishart, YD Feunang, A Marcu, AC Guo, K Liang, R Vázquez-Fresno, ... Nucleic acids research 46 (D1), D608-D617, 2018 | 3723 | 2018 |
| PHASTER: a better, faster version of the PHAST phage search tool D Arndt, JR Grant, A Marcu, T Sajed, A Pon, Y Liang, DS Wishart Nucleic acids research 44 (W1), W16-W21, 2016 | 3481 | 2016 |
| DrugBank 6.0: the DrugBank knowledgebase for 2024 C Knox, M Wilson, CM Klinger, M Franklin, E Oler, A Wilson, A Pon, J Cox, ... Nucleic acids research 52 (D1), D1265-D1275, 2024 | 412 | 2024 |
| Livestock metabolomics and the livestock metabolome: A systematic review SA Goldansaz, AC Guo, T Sajed, MA Steele, GS Plastow, DS Wishart PloS one 12 (5), e0177675, 2017 | 364 | 2017 |
| T3DB: the toxic exposome database D Wishart, D Arndt, A Pon, T Sajed, AC Guo, Y Djoumbou, C Knox, ... Nucleic acids research 43 (D1), D928-D934, 2015 | 333 | 2015 |
| The human saliva metabolome ZT Dame, F Aziat, R Mandal, R Krishnamurthy, S Bouatra, S Borzouie, ... Metabolomics 11, 1864-1883, 2015 | 303 | 2015 |
| A review on human fecal metabolomics: Methods, applications and the human fecal metabolome database N Karu, L Deng, M Slae, AC Guo, T Sajed, H Huynh, E Wine, DS Wishart Analytica chimica acta 1030, 1-24, 2018 | 286 | 2018 |
| Critical assessment of small molecule identification 2016: automated methods EL Schymanski, C Ruttkies, M Krauss, C Brouard, T Kind, K Dührkop, ... Journal of cheminformatics 9, 1-21, 2017 | 203 | 2017 |
| Herbs and spices-biomarkers of intake based on human intervention studies–a systematic review R Vázquez-Fresno, ARR Rosana, T Sajed, T Onookome-Okome, ... Genes & nutrition 14, 1-27, 2019 | 186 | 2019 |
| ECMDB 2.0: A richer resource for understanding the biochemistry of E. coli T Sajed, A Marcu, M Ramirez, A Pon, AC Guo, C Knox, M Wilson, ... Nucleic acids research 44 (D1), D495-D501, 2016 | 186 | 2016 |
| YMDB 2.0: a significantly expanded version of the yeast metabolome database M Ramirez-Gaona, A Marcu, A Pon, AC Guo, T Sajed, NA Wishart, N Karu, ... Nucleic acids research 45 (D1), D440-D445, 2017 | 181 | 2017 |
| Biomarker of food intake for assessing the consumption of dairy and egg products LH Münger, M Garcia-Aloy, R Vázquez-Fresno, D Gille, ARR Rosana, ... Genes & nutrition 13, 1-18, 2018 | 65 | 2018 |
| Le D.; Pon A.; Knox C.; Wilson M DS Wishart, YD Feunang, AC Guo, EJ Lo, A Marcu, JR Grant, T Sajed, ... DrugBank, 2018 | 58 | 2018 |
| Prognosis and treatment prediction of type-2 diabetes using deep neural network and machine learning classifiers M Kowsher, MY Turaba, T Sajed, MMM Rahman 2019 22nd International Conference on Computer and Information Technology …, 2019 | 35 | 2019 |
| Stimulating creativity with funlines: A case study of humor generation in headlines N Hossain, J Krumm, T Sajed, H Kautz arXiv preprint arXiv:2002.02031, 2020 | 30 | 2020 |
| PredSTP: a highly accurate SVM based model to predict sequential cystine stabilized peptides SMA Islam, T Sajed, CM Kearney, EJ Baker BMC bioinformatics 16, 1-11, 2015 | 26 | 2015 |
| MagMet: A fully automated web server for targeted nuclear magnetic resonance metabolomics of plasma and serum M Rout, M Lipfert, BL Lee, M Berjanskii, N Assempour, RV Fresno, ... Magnetic Resonance in Chemistry 61 (12), 681-704, 2023 | 18 | 2023 |
| Deep learning-enabled MS/MS spectrum prediction facilitates automated identification of novel psychoactive substances F Wang, D Pasin, MA Skinnider, J Liigand, JN Kleis, D Brown, E Oler, ... Analytical Chemistry 95 (50), 18326-18334, 2023 | 12 | 2023 |
| Accurate Prediction of 1H NMR Chemical Shifts of Small Molecules Using Machine Learning T Sajed, Z Sayeeda, BL Lee, M Berjanskii, F Wang, V Gautam, DS Wishart Metabolites 14 (5), 290, 2024 | 7 | 2024 |
