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Open AccessJournal ArticleDOI

Induced protein degradation: an emerging drug discovery paradigm

Ashton C. Lai, +1 more
- 01 Feb 2017 - 
- Vol. 16, Iss: 2, pp 101-114
TLDR
Induced protein degradation has the potential to reduce systemic drug exposure, the ability to counteract increased target protein expression that often accompanies inhibition of protein function and the potential ability to target proteins that are not currently therapeutically tractable, such as transcription factors, scaffolding and regulatory proteins.
Abstract
Small-molecule drug discovery has traditionally focused on occupancy of a binding site that directly affects protein function, and this approach typically precludes targeting proteins that lack such amenable sites. Furthermore, high systemic drug exposures may be needed to maintain sufficient target inhibition in vivo, increasing the risk of undesirable off-target effects. Induced protein degradation is an alternative approach that is event-driven: upon drug binding, the target protein is tagged for elimination. Emerging technologies based on proteolysis-targeting chimaeras (PROTACs) that exploit cellular quality control machinery to selectively degrade target proteins are attracting considerable attention in the pharmaceutical industry owing to the advantages they could offer over traditional small-molecule strategies. These advantages include the potential to reduce systemic drug exposure, the ability to counteract increased target protein expression that often accompanies inhibition of protein function and the potential ability to target proteins that are not currently therapeutically tractable, such as transcription factors, scaffolding and regulatory proteins.

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Journal ArticleDOI

Strategies for the discovery of oral PROTAC degraders aimed at cancer therapy

Xin Han, +1 more
TL;DR: In this paper , the authors focus on the current efforts in the discovery and development of various orally available anti-cancer PROTAC degraders, and comprehensively summarize the strategies applied to this end.
Journal ArticleDOI

Peptide Stapling Improves the Sustainability of a Peptide-Based Chimeric Molecule That Induces Targeted Protein Degradation

TL;DR: The stapled peptide stPERML-R7 as discussed by the authors, which is based on the estrogen receptor alpha (ERα)-binding peptide PERML and composed of natural amino acids, showed increased α-helicity and similar binding affinity toward ERα.
Journal ArticleDOI

Targeting androgen receptor degradation with PROTACs from bench to bedside.

TL;DR: In the last two decades, potent and efficacious PROTAC AR degraders have been gotten rapid development and several such compounds have been advanced into preclinical phase and phase I/II trials for the treatment of human prostate cancers as discussed by the authors .
References
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Journal ArticleDOI

Experimental and computational approaches to estimate solubility and permeability in drug discovery and development settings

TL;DR: Experimental and computational approaches to estimate solubility and permeability in discovery and development settings are described in this article, where the rule of 5 is used to predict poor absorption or permeability when there are more than 5 H-bond donors, 10 Hbond acceptors, and the calculated Log P (CLogP) is greater than 5 (or MlogP > 415).
Journal ArticleDOI

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Journal ArticleDOI

Multiplex Genome Engineering Using CRISPR/Cas Systems

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Multiplex Genome Engineering Using CRISPR/Cas Systems

TL;DR: Two different type II CRISPR/Cas systems are engineered and it is demonstrated that Cas9 nucleases can be directed by short RNAs to induce precise cleavage at endogenous genomic loci in human and mouse cells, demonstrating easy programmability and wide applicability of the RNA-guided nuclease technology.
Journal ArticleDOI

The Cancer Cell Line Encyclopedia enables predictive modelling of anticancer drug sensitivity

TL;DR: The results indicate that large, annotated cell-line collections may help to enable preclinical stratification schemata for anticancer agents and the generation of genetic predictions of drug response in the preclinical setting and their incorporation into cancer clinical trial design could speed the emergence of ‘personalized’ therapeutic regimens.
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