Ericksen, Spencer S.
University of Wisconsin–Madison · University of Wisconsin Carbone Cancer Center
4 papers on CoChatORCID 0000-0003-4907-1160
Most cited papers
- Verified
A marine microbiome antifungal targets urgent-threat drug-resistant fungi
Zhang, F., Zhao, M., Braun, D. R., Ericksen, S. S., Piotrowski, J. S., Nelson, J., Peng, J., Ananiev, G. E., Chanana, S., Barns, K., et al. (2020) · Science
Microbial Natural Products and BiosynthesisMarine Sponges and Natural Products
Cited by 177
- Verified
Machine learning consensus scoring improves performance across targets in structure-based virtual screening.
Ericksen, S. S., Wu, H., Zhang, H., Michael, L. A., Newton, M. A., Hoffmann, F. M., & Wildman, S. A. (2017) · Journal of Chemical Information and Modeling
Computational Drug Discovery MethodsMachine Learning in Materials Science
Cited by 107
- Verified
In Silico Modeling and Scoring of PROTAC-Mediated Ternary Complex Poses
Liao, J., Nie, X., Unarta, I. C., Ericksen, S. S., & Tang, W. (2022) · Journal of Medicinal Chemistry
Protein Degradation and InhibitorsComputational Drug Discovery Methods
Cited by 62
- Verified
In Silico Modeling and Scoring of PROTAC-Mediated Ternary Complex Poses
Liao, J., Nie, X., Unarta, I., Ericksen, S., & Tang, W. (2021) · Journal of Medicinal Chemistry
Protein Degradation and InhibitorsComputational Drug Discovery Methods
Cited by 62
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