Literature DB >> 24129700

Using functional signature ontology (FUSION) to identify mechanisms of action for natural products.

Malia B Potts1, Hyun Seok Kim, Kurt W Fisher, Youcai Hu, Yazmin P Carrasco, Gamze Betul Bulut, Yi-Hung Ou, Mireya L Herrera-Herrera, Federico Cubillos, Saurabh Mendiratta, Guanghua Xiao, Matan Hofree, Trey Ideker, Yang Xie, Lily Jun-shen Huang, Robert E Lewis, John B MacMillan, Michael A White.   

Abstract

A challenge for biomedical research is the development of pharmaceuticals that appropriately target disease mechanisms. Natural products can be a rich source of bioactive chemicals for medicinal applications but can act through unknown mechanisms and can be difficult to produce or obtain. To address these challenges, we developed a new marine-derived, renewable natural products resource and a method for linking bioactive derivatives of this library to the proteins and biological processes that they target in cells. We used cell-based screening and computational analysis to match gene expression signatures produced by natural products to those produced by small interfering RNA (siRNA) and synthetic microRNA (miRNA) libraries. With this strategy, we matched proteins and miRNAs with diverse biological processes and also identified putative protein targets and mechanisms of action for several previously undescribed marine-derived natural products. We confirmed mechanistic relationships for selected siRNAs, miRNAs, and compounds with functional roles in autophagy, chemotaxis mediated by discoidin domain receptor 2, or activation of the kinase AKT. Thus, this approach may be an effective method for screening new drugs while simultaneously identifying their targets.

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Year:  2013        PMID: 24129700      PMCID: PMC4075427          DOI: 10.1126/scisignal.2004657

Source DB:  PubMed          Journal:  Sci Signal        ISSN: 1945-0877            Impact factor:   8.192


  48 in total

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  38 in total

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Review 7.  Synergy and antagonism in natural product extracts: when 1 + 1 does not equal 2.

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9.  SIK2 Restricts Autophagic Flux To Support Triple-Negative Breast Cancer Survival.

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10.  Computational approaches to natural product discovery.

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