| Literature DB >> 21136838 |
Chi Chun Wong1, Ka Wing Cheng, Qing-Yu He, Feng Chen.
Abstract
Natural products and their derivatives have been an invaluable source of drug leads for the pharmaceutical industry over the past decades, especially for antibacterial and anticancer purposes. Nature products, with their chemical diversity and biochemical specificity, are ideal starting points of drug development. Rational drug design based on natural product scaffolds, however, was hindered by a lack of knowledge regarding their mechanisms of action. Advances in proteomic technologies hold the key to revolutionize the target identification of natural products. In this regard, chemical proteomics have demonstrated the capabilities to identify specific targets by screening against the proteome. On the other hand, high-throughput proteome analysis reveals the multiple impacts of drug-target interaction in a global context, providing insights for elucidation of signaling pathways involved in the drug response, and uncovering predictive markers of drug efficacy and toxicity. Increasingly, studies have exploited integration of transcriptome and proteome datasets, which offers additional information on regulation of molecular network at transcriptional and post-translational levels. In this review, we discuss major proteomic approaches applied to studying the mechanism of action of natural products and merits of combining datasets from proteomics and transcriptomics analysis.Entities:
Year: 2008 PMID: 21136838 DOI: 10.1002/prca.200880002
Source DB: PubMed Journal: Proteomics Clin Appl ISSN: 1862-8346 Impact factor: 3.494