Jenkins, Jeremy L.

Structure of the DDB1–CRBN E3 ubiquitin ligase in complex with thalidomide

Fischer, E. S., Böhm, K., Lydeard, J. R., Yang, H., Stadler, M. B., Cavadini, S., Nagel, J., Serluca, F., Acker, V., Lingaraju, G. M., et al. (2014) · Nature

Protein Degradation and InhibitorsUbiquitin and proteasome pathways

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Integrating high-content screening and ligand-target prediction to identify mechanism of action

Young, D. W., Bender, A., Hoyt, J., McWhinnie, E., Chirn, G.-W., Tao, C. Y., Tallarico, J. A., Labow, M., Jenkins, J. L., Mitchison, T. J., et al. (2008) · Nature Chemical Biology

Computational Drug Discovery MethodsCell Image Analysis Techniques

Cited by 345

Phenotypic landscape of intestinal organoid regeneration

Lukonin, I., Serra, D., Challet Meylan, L., Volkmann, K., Baaten, J., Zhao, R., Meeusen, S., Colman, K., Maurer, F., Stadler, M. B., et al. (2020) · Nature

Digestive system and related healthDevelopmental Biology and Gene Regulation

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DRUG-seq for miniaturized high-throughput transcriptome profiling in drug discovery

Ye, C., Ho, D. J., Neri, M., Yang, C., Kulkarni, T., Randhawa, R., Henault, M., Mostacci, N., Farmer, P., Renner, S., et al. (2018) · Nature Communications

Single-cell and spatial transcriptomicsComputational Drug Discovery Methods

Cited by 222

“Bayes Affinity Fingerprints” Improve Retrieval Rates in Virtual Screening and Define Orthogonal Bioactivity Space: When Are Multitarget Drugs a Feasible Concept?

Bender, A., Jenkins, J. L., Glick, M., Deng, Z., Nettles, J. H., & Davies, J. W. (2006) · Journal of Chemical Information and Modeling

Computational Drug Discovery MethodsMachine Learning in Materials Science

Cited by 110

Compound activity prediction with dose-dependent transcriptomic profiles and deep learning

Godinez, W. J., Trifonov, V., Fang, B., Kuzu, G., Pei, L., Guiguemde, W. A., Martin, E. J., King, F. J., Jenkins, J. L., & Skewes-Cox, P. (2023) · Journal of Chemical Information and Modeling

Computational Drug Discovery MethodsGene expression and cancer classification

Cited by 7

Compound Activity Prediction with Dose-Dependent Transcriptomic Profiles and Deep Learning

Godinez, W. J., Trifonov, V., Fang, B., Kuzu, G., Pei, L., Guiguemde, W. A., Martin, E. J., King, F. J., Jenkins, J. L., & Skewes-Cox, P. (2024) · Journal of Chemical Information and Modeling

Computational Drug Discovery MethodsGene expression and cancer classification

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