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Cited by 320

The DOI matches its Crossref record; 35 of the 35 references it cites were found in a registry or an index.

Chemical and Computational Methods for the Characterization of Covalent Reactive Groups for the Prospective Design of Irreversible Inhibitors

Flanagan, Mark E., Abramite, Joseph A., Anderson, Dennis P., Aulabaugh, Ann, Dahal, Upendra P., Gilbert, Adam M., Li, Chao, Montgomery, Justin, Oppenheimer, Stacey R., Ryder, Tim, Schuff, Brandon P., Uccello, Daniel P., Walker, Gregory S., Wu, Yan, Brown, Matthew F., Chen, Jinshan M., Hayward, Matthew M., Noe, Mark C., Obach, R. Scott, Philippe, Laurence, Shanmugasundaram, Veerabahu, Shapiro, Michael J., Starr, Jeremy, Stroh, Justin, Che, Ye·2014·Journal of Medicinal Chemistry

Abstract

Interest in drugs that covalently modify their target is driven by the desire for enhanced efficacy that can result from the silencing of enzymatic activity until protein resynthesis can occur, along with the potential for increased selectivity by targeting uniquely positioned nucleophilic residues in the protein. However, covalent approaches carry additional risk for toxicities or hypersensitivity reactions that can result from covalent modification of unintended targets. Here we describe methods for measuring the reactivity of covalent reactive groups (CRGs) with a biologically relevant nucleophile, glutathione (GSH), along with kinetic data for a broad array of electrophiles. We also describe a computational method for predicting electrophilic reactivity, which taken together can be applied to the prospective design of thiol-reactive covalent inhibitors.

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Crossref · 10.1021/jm501412a

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Metadata

Authors
Flanagan, M. E., Abramite, J. A., Anderson, D. P., Aulabaugh, A., Dahal, U. P., Gilbert, A. M., Li, C., Montgomery, J., Oppenheimer, S. R., Ryder, T., Schuff, B. P., Uccello, D. P., Walker, G. S., Wu, Y., Brown, M. F., Chen, J. M., Hayward, M. M., Noe, M. C., Obach, R. S., Philippe, L., Shanmugasundaram, V., Shapiro, M. J., Starr, J., Stroh, J., & Che, Y.
Venue
Journal of Medicinal Chemistry
Published
2014-11-26
Volume
57
Issue
23
Pages
10072-10079
ISSN
  • 0022-2623 (ISSN-L)
  • 1520-4804
OpenAlex
W2322586343
Cited by
320
References
35
FWCI
9.11
Type
journal article
Language
en
Open access
closed

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.