Jeremy L. Jenkins, Ph.D.

Ohio State University, Columbus, Columbus, OH 
Bacterial toxins
"Jeremy Jenkins"
Mean distance: 21373.2


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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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Schirle M, Jenkins JL. (2015) Identifying compound efficacy targets in phenotypic drug discovery. Drug Discovery Today
Fischer ES, Böhm K, Lydeard JR, et al. (2014) Structure of the DDB1-CRBN E3 ubiquitin ligase in complex with thalidomide. Nature. 512: 49-53
Riniker S, Wang Y, Jenkins JL, et al. (2014) Using information from historical high-throughput screens to predict active compounds Journal of Chemical Information and Modeling. 54: 1880-1891
Jaeger S, Min J, Nigsch F, et al. (2014) Causal Network Models for Predicting Compound Targets and Driving Pathways in Cancer. Journal of Biomolecular Screening. 19: 791-802
Jenkins JL. (2013) Drug discovery: Rethinking cellular drug response. Nature Chemical Biology. 9: 669-70
Hutz JE, Nelson T, Wu H, et al. (2013) The multidimensional perturbation value: a single metric to measure similarity and activity of treatments in high-throughput multidimensional screens. Journal of Biomolecular Screening. 18: 367-77
Lounkine E, Keiser MJ, Whitebread S, et al. (2012) Large-scale prediction and testing of drug activity on side-effect targets. Nature. 486: 361-7
Petrone PM, Simms B, Nigsch F, et al. (2012) Rethinking molecular similarity: comparing compounds on the basis of biological activity. Acs Chemical Biology. 7: 1399-409
Nigsch F, Hutz J, Cornett B, et al. (2012) Determination of minimal transcriptional signatures of compounds for target prediction. Eurasip Journal On Bioinformatics & Systems Biology. 2012: 2
Lounkine E, Nigsch F, Jenkins JL, et al. (2011) Activity-aware clustering of high throughput screening data and elucidation of orthogonal structure-activity relationships. Journal of Chemical Information and Modeling. 51: 3158-68
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