Literature DB >> 26700051

Profiling of Small Molecules by Chemical Proteomics.

Kilian V M Huber1,2, Giulio Superti-Furga3.   

Abstract

Chemical proteomics provides a powerful means to gain systems-level insight into the mode of action of small molecules and/or natural products. In contrast to high-throughput screening efforts which only interrogate selected subproteomes such as kinases and often only consider individual domains, the methodology presented herein allows for the determination of the molecular targets of small molecules or drugs in a more relevant physiological setting. As such, the compound of interest is exposed to the entire variety of cellular proteins considering all naturally occurring posttranslational modifications and activation states. Samples prepared according to the procedures described in this protocol are compatible with lysates from cultured cell lines, primary cells, or samples from biopsies. In combination with state-of-the-art mass spectrometry techniques this approach grants access to a comprehensive view of small molecule-target protein interactions.

Keywords:  Chemical proteomics; Drug discovery; Mode of action; Target deconvolution

Mesh:

Substances:

Year:  2016        PMID: 26700051     DOI: 10.1007/978-1-4939-3341-9_15

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  4 in total

1.  Interview with Thomas Lundbäck, PhD.

Authors: 
Journal:  Assay Drug Dev Technol       Date:  2016-05       Impact factor: 1.738

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Journal:  iScience       Date:  2022-05-04

Review 3.  Current status and future prospects for enabling chemistry technology in the drug discovery process.

Authors:  Stevan W Djuric; Charles W Hutchins; Nari N Talaty
Journal:  F1000Res       Date:  2016-09-30

4.  A chemical biology toolbox to study protein methyltransferases and epigenetic signaling.

Authors:  Sebastian Scheer; Suzanne Ackloo; Tiago S Medina; Matthieu Schapira; Fengling Li; Jennifer A Ward; Andrew M Lewis; Jeffrey P Northrop; Paul L Richardson; H Ümit Kaniskan; Yudao Shen; Jing Liu; David Smil; David McLeod; Carlos A Zepeda-Velazquez; Minkui Luo; Jian Jin; Dalia Barsyte-Lovejoy; Kilian V M Huber; Daniel D De Carvalho; Masoud Vedadi; Colby Zaph; Peter J Brown; Cheryl H Arrowsmith
Journal:  Nat Commun       Date:  2019-01-03       Impact factor: 14.919

  4 in total

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