Keiser, Michael J.

Relating protein pharmacology by ligand chemistry

Keiser, M. J., Roth, B. L., Armbruster, B. N., Ernsberger, P., Irwin, J. J., & Shoichet, B. K. (2007) · Nature Biotechnology

Computational Drug Discovery MethodsReceptor Mechanisms and Signaling

Cited by 2,402

Predicting new molecular targets for known drugs

Keiser, M. J., Setola, V., Irwin, J. J., Laggner, C., Abbas, A. I., Hufeisen, S. J., Jensen, N. H., Kuijer, M. B., Matos, R. C., Tran, T. B., et al. (2009) · Nature

Computational Drug Discovery MethodsReceptor Mechanisms and Signaling

Cited by 1,667

Artificial Intelligence in Dermatology: A Primer

Young, A. T., Xiong, M., Pfau, J., Keiser, M. J., & Wei, M. L. (2020) · Journal of Investigative Dermatology

Cutaneous Melanoma Detection and ManagementAI in cancer detection

Cited by 249

The scalable precision medicine open knowledge engine (SPOKE): a massive knowledge graph of biomedical information

Morris, J. H., Soman, K., Akbas, R. E., Zhou, X., Smith, B., Meng, E. C., Huang, C. C., Cerono, G., Schenk, G., Rizk-Jackson, A., et al. (2023) · Bioinformatics

Biomedical Text Mining and OntologiesSemantic Web and Ontologies

Cited by 99

Evolutionarily conserved roles for blood-brain barrier xenobiotic transporters in endogenous steroid partitioning and behavior

Hindle, S. J., Munji, R. N., Dolghih, E., Gaskins, G., Orng, S., Ishimoto, H., Soung, A., DeSalvo, M., Kitamoto, T., Keiser, M. J., et al. (2017) · Cell Reports

Drug Transport and Resistance MechanismsBarrier Structure and Function Studies

Cited by 74

Evolutionary-Scale Enzymology Enables Biochemical Constant Prediction Across a Multi-Peaked Catalytic Landscape

Muir, D. F., Asper, G. P. R., Notin, P., Posner, J. A., Marks, D. S., Keiser, M. J., & Pinney, M. M. (2024) · Science

Protein Structure and DynamicsEnzyme Catalysis and Immobilization

Cited by 42

Adding Stochastic Negative Examples into Machine Learning Improves Molecular Bioactivity Prediction

Cáceres, E. L., Mew, N. C., & Keiser, M. J. (2020) · Journal of Chemical Information and Modeling

Computational Drug Discovery MethodsMachine Learning in Materials Science

Cited by 33

Learning chemical sensitivity reveals mechanisms of cellular response

Connell, W., Garcia, K., Goodarzi, H., & Keiser, M. J. (2023) · Communications Biology

Computational Drug Discovery MethodsFerroptosis and cancer prognosis

Cited by 4

Learning chemical sensitivity reveals mechanisms of cellular response

Connell, W., Garcia, K., Goodarzi, H., & Keiser, M. J. (2024) · Communications Biology

Computational Drug Discovery MethodsFerroptosis and cancer prognosis

Cited by 4