The amino terminal domain of steroid hormone receptors as a novel drug target: Identification of small molecule inhibitors

2016 ◽  
Author(s):  
Amy E. Monaghan ◽  
Stuart McElroy ◽  
Iain J. McEwan
2015 ◽  
Vol 19 (2) ◽  
pp. 104-114 ◽  
Author(s):  
Upendra N. Dwivedi ◽  
Sameeksha Tiwari ◽  
Priyanka Singh ◽  
Swati Singh ◽  
Manika Awasthi ◽  
...  

2016 ◽  
Vol 33 (5) ◽  
pp. 709-718 ◽  
Author(s):  
Naoki Kanoh

This review describes the status of the photo-cross-linked small-molecule affinity matrix while providing a useful tutorial for academic and industrial chemical biologists who are involved or interested in drug target identification.


2007 ◽  
Vol 12 (1-2) ◽  
pp. 28-33 ◽  
Author(s):  
Norbert Perrimon ◽  
Adam Friedman ◽  
Bernard Mathey-Prevot ◽  
Ulrike S. Eggert

2019 ◽  
Author(s):  
Ilaria Piazza ◽  
Nigel Beaton ◽  
Roland Bruderer ◽  
Thomas Knobloch ◽  
Crystel Barbisan ◽  
...  

Chemoproteomics is a key technology to characterize the mode of action of drugs, as it directly identifies the protein targets of bioactive compounds and aids in developing optimized small-molecule compounds. Current unbiased approaches cannot directly pinpoint the interaction surfaces between ligands and protein targets. To address his limitation we have developed a new drug target deconvolution approach based on limited proteolysis coupled with mass spectrometry that works across species including human cells (LiP-Quant). LiP-Quant features an automated data analysis pipeline and peptide-level resolution for the identification of any small-molecule binding sites, Here we demonstrate drug target identification by LiP-Quant across compound classes, including compounds targeting kinases and phosphatases. We demonstrate that LiP-Quant estimates the half maximal effective concentration (EC50) of compound binding sites in whole cell lysates. LiP-Quant identifies targets of both selective and promiscuous drugs and correctly discriminates drug binding to homologous proteins. We finally show that the LiP-Quant technology identifies targets of a novel research compound of biotechnological interest.


2021 ◽  
Author(s):  
Aaron D Trowbridge ◽  
Ciaran P Seath ◽  
Frances P Rodriguez-Rivera ◽  
Beryl X Li ◽  
Barbara E Dul ◽  
...  

The identification of cellular targets that can be exploited for therapeutic benefit, broadly known as target ID, remains a fundamental goal in drug discovery. In recent years, the application of new chemical and biological technologies that accelerate target ID has become commonplace within drug discovery programs, as a complete understanding of how molecules react in a cellular environment can lead to increased binding selectivity, improved safety profiles, and clinical efficacy. Established approaches using photoaffinity labelling (PAL) are often costly and time-consuming due to poor signal-to-noise coupled with extensive probe optimization. Such challenges are exacerbated when dealing with low abundance membrane proteins or multiple protein target engagement, typically rendering target ID unfeasible. Herein, we describe a general platform for photocatalytic small molecule target ID, which hinges upon the generation of high-energy carbene intermediates via visible light-mediated Dexter energy transfer. By decoupling the reactive warhead from the drug, catalytic signal amplification results in multiple labelling events per drug, leading to unprecedented levels of target enrichment. Through the development of cell permeable photocatalyst conjugates, this method has enabled the quantitative target and off target identification of several drugs including (+)-JQ1, paclitaxel, and dasatinib. Moreover, this methodology has led to the target ID of two GPCRs, ADORA2A and GPR40m, a class of drug target seldom successfully uncovered in small molecule PAL campaigns.


1975 ◽  
Vol 80 (1_Suppla) ◽  
pp. S160-S161 ◽  
Author(s):  
H. Maass

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