Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/109754
| DC Field | Value | Language |
|---|---|---|
| dc.contributor | Department of Applied Biology and Chemical Technology | en_US |
| dc.contributor | Department of Applied Mathematics | en_US |
| dc.creator | Yang, Y | en_US |
| dc.creator | Tse, YS | en_US |
| dc.creator | Zhang, Q | en_US |
| dc.creator | Wong, KY | en_US |
| dc.creator | Yang, C | en_US |
| dc.creator | Yang, Y | en_US |
| dc.creator | Li, S | en_US |
| dc.creator | Lau, KW | en_US |
| dc.creator | Charles, TC | en_US |
| dc.creator | Lam, TC | en_US |
| dc.creator | Zhao, Q | en_US |
| dc.date.accessioned | 2024-11-14T06:42:40Z | - |
| dc.date.available | 2024-11-14T06:42:40Z | - |
| dc.identifier.issn | 0022-2623 | en_US |
| dc.identifier.uri | http://hdl.handle.net/10397/109754 | - |
| dc.language.iso | en | en_US |
| dc.publisher | American Chemical Society | en_US |
| dc.rights | © 2024 American Chemical Society | en_US |
| dc.rights | This document is the Accepted Manuscript version of a Published Work that appeared in final form in Journal of Medicinal Chemistry, copyright © 2024 American Chemical Society after peer review and technical editing by the publisher. To access the final edited and published work see https://doi.org/10.1021/acs.jmedchem.4c01463. | en_US |
| dc.title | Multiplexed target profiling with integrated chemical genomics and chemical proteomics | en_US |
| dc.type | Journal/Magazine Article | en_US |
| dc.identifier.spage | 17542 | en_US |
| dc.identifier.epage | 17550 | en_US |
| dc.identifier.volume | 67 | en_US |
| dc.identifier.issue | 19 | en_US |
| dc.identifier.doi | 10.1021/acs.jmedchem.4c01463 | en_US |
| dcterms.abstract | Target identification is crucial for elucidating the mechanisms of bioactive molecules in drug discovery. However, traditional methods assess compounds individually, making it challenging to efficiently examine multiple compounds in parallel, especially for structurally diverse compounds. This study reports a novel strategy called chemical genomics-facilitated chemical proteomics (CGCP) for multiplexing the target identification of bioactive small molecules. CGCP correlates compounds’ perturbation of global transcription, or chemical genomic profiles, with their reactivity toward target proteins, enabling simultaneous identification of targets. We demonstrated the utility of CGCP by studying the targets of celastrol (Cel) and four other electrophilic compounds with varying levels of similarity to Cel based on their chemical genomic profiles. We identified multiple novel targets and binding sites shared by the compounds in a single experiment. CGCP enabled multiplexity and improved the efficiency of target identification for structurally distinct compounds, indicating its potential to accelerate drug discovery. | en_US |
| dcterms.accessRights | open access | en_US |
| dcterms.bibliographicCitation | Journal of medicinal chemistry, 10 Oct. 2024, v. 67, no. 19, p. 17542-17550 | en_US |
| dcterms.isPartOf | Journal of medicinal chemistry | en_US |
| dcterms.issued | 2024-10-10 | - |
| dc.identifier.eissn | 1520-4804 | en_US |
| dc.description.validate | 202411 bcch | en_US |
| dc.description.oa | Accepted Manuscript | en_US |
| dc.identifier.FolderNumber | a3281 | - |
| dc.identifier.SubFormID | 49875 | - |
| dc.description.fundingSource | Others | en_US |
| dc.description.fundingText | NSFC 21705136 | en_US |
| dc.description.pubStatus | Published | en_US |
| dc.description.oaCategory | Green (AAM) | en_US |
| Appears in Collections: | Journal/Magazine Article | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Yang_Multiplexed_Target_Profiling.pdf | Pre-Published version | 3.21 MB | Adobe PDF | View/Open |
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