Multiplexed Target Profiling with Integrated Chemical Genomics and Chemical Proteomics

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.

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Publication Details

Journal
Journal of Medicinal Chemistry
Published
2024-09-28
DOI
https://doi.org/10.1021/acs.jmedchem.4c01463
Citations
2
Primary Topic
Computational Drug Discovery Methods
Type
article
Field-Weighted Citation Impact
0.72

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article

Multiplexed Target Profiling with Integrated Chemical Genomics and Chemical Proteomics

Ying Yang, Thomas Chuen Lam, Kin Yau Wong, Qian Zhao et al.
2 citations
Journal of Medicinal Chemistry
Computational Drug Discovery Methods
0.72
article

Multiplexed Target Profiling with Integrated Chemical Genomics and Chemical Proteomics

Ying Yang, Thomas Chuen Lam, Kin Yau Wong, Qian Zhao, Trevor C. Charles, Qi Zhang, Yang Yang, Shuqi Li, Chenxi Yang, K. Lau, Yin-suen Tse
article en
2 citations

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.

Journal of Medicinal ChemistryVol. 67(19)
Hong Kong Polytechnic University (HK), University of Waterloo (CA), Hong Kong Eye Hospital (CN), State Key Laboratory of Synthetic Chemistry (CN)
National Natural Science Foundation of China, Research Grants Council, University Grants Committee, Innovation and Technology Fund
Zero hunger
Openalex Percentile: Top 26%
Computational Drug Discovery Methods
0.72
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