Jeremy L. Jenkins, Ph.D.
Institution:
Ohio State University, Columbus, Columbus, OHArea:
Bacterial toxinsGoogle:
"Jeremy Jenkins"Mean distance: 21373.2
Parents
Sign in to add mentor| Donald H. Dean | grad student | 2000 | Ohio State | |
| (Investigation of the Bacillus thuringiensis insecticidal Cry1A toxin binding mechanism to lepidopteran midgut receptors.) | ||||
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Publications
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| Canham SM, Wang Y, Cornett A, et al. (2020) Systematic Chemogenetic Library Assembly. Cell Chemical Biology |
| Ross NT, Lohmann F, Carbonneau S, et al. (2019) CPSF3-dependent pre-mRNA processing as a druggable node in AML and Ewing's sarcoma. Nature Chemical Biology |
| Moret N, Clark NA, Hafner M, et al. (2019) Cheminformatics Tools for Analyzing and Designing Optimized Small-Molecule Collections and Libraries. Cell Chemical Biology |
| Nolin E, Gans S, Llamas L, et al. (2019) Discovery of a ZIP7 inhibitor from a Notch pathway screen. Nature Chemical Biology |
| Ye C, Ho DJ, Neri M, et al. (2018) DRUG-seq for miniaturized high-throughput transcriptome profiling in drug discovery. Nature Communications. 9: 4307 |
| Wang Y, Jenkins JL. (2018) Quantitative Prioritization of Tool Compounds for Phenotypic Screening. Methods in Molecular Biology (Clifton, N.J.). 1787: 195-206 |
| Riba A, Emmenlauer M, Chen A, et al. (2017) Explicit Modeling of siRNA-Dependent On- and Off-Target Repression Improves the Interpretation of Screening Results. Cell Systems |
| Paricharak S, IJzerman AP, Jenkins JL, et al. (2016) Data-driven Derivation of an "Informer Compound Set" for Improved Selection of Active Compounds in High-Throughput Screening. Journal of Chemical Information and Modeling |
| Wang Y, Cornett A, King FJ, et al. (2016) Evidence-Based and Quantitative Prioritization of Tool Compounds in Phenotypic Drug Discovery. Cell Chemical Biology |
| Schirle M, Jenkins JL. (2015) Identifying compound efficacy targets in phenotypic drug discovery. Drug Discovery Today |